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ORCIDJames S. Duncan
James Duncan 0001 – Jim Duncan 0001
Person information
- affiliation: Yale University, New Haven, Connecticut, USA
Other persons with the same name
- James Duncan 0002
![[0000-0003-3297-681X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3297-681X")
— University of California, Berkeley, CA, USA
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2020 – today
- 2025
[j88]Siyuan Dong, Zhuotong Cai, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Yaqing Huang, Qinghao Liang, Chenyu You, Chathura Kumaragamage, Robert K. Fulbright, Amit Mahajan, Amin Karbasi, John A. Onofrey, Robin A. de Graaf, James S. Duncan:
A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging. Medical Image Anal. 99: 103358 (2025)- 2024
- [j87]Shanlin Sun, Kun Han, Chenyu You, Hao Tang, Deying Kong, Junayed Naushad, Xiangyi Yan, Haoyu Ma, Pooya Khosravi, James S. Duncan, Xiaohui Xie:
Medical image registration via neural fields. Medical Image Anal. 97: 103249 (2024) - [j86]Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou:
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. Medical Image Anal. 98: 103300 (2024) - [j85]Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan:
Robust automated calcification meshing for personalized cardiovascular biomechanics. npj Digit. Medicine 7(1) (2024) - [j84]Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Andrés Caballero, John A. Onofrey, Shawn S. Ahn, Yilin Xu, Raymond McKay, Wei Sun, Rudolph L. Gleason, James S. Duncan:
Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning. IEEE Trans. Medical Imaging 43(1): 203-215 (2024) - [j83]Kevinminh Ta, Shawn S. Ahn, Stephanie Thorn, John C. Stendahl, Xiaoran Zhang, Jonathan Langdon, Lawrence H. Staib, Albert J. Sinusas, James S. Duncan:
Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. IEEE Trans. Medical Imaging 43(5): 2010-2020 (2024) - [j82]Xiongchao Chen, Bo Zhou, Xueqi Guo, Huidong Xie, Qiong Liu, James S. Duncan, Albert J. Sinusas, Chi Liu:
DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT. IEEE Trans. Medical Imaging 43(9): 3110-3125 (2024) - [c202]Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan:
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CVPR 2024: 26140-26150 - [c201]Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alex Wong, James S. Duncan:
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration. ECCV (38) 2024: 76-92 - [c200]Zhuotong Cai, Jingmin Xin, Siyuan Dong, John A. Onofrey, Nanning Zheng, James S. Duncan:
Symmetric Consistency with Cross-Domain Mixup for Cross-Modality Cardiac Segmentation. ICASSP 2024: 1536-1540 - [c199]Peiyu Duan, Nicha C. Dvornek, Jiyao Wang, Jeffrey Eilbott, Yuexi Du, Denis G. Sukhodolsky, James S. Duncan:
Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder. ISBI 2024: 1-5 - [c198]Zhuotong Cai, Jingmin Xin, Tianyi Zeng, Siyuan Dong, Nanning Zheng, James S. Duncan:
Class-Aware Mutual Mixup with Triple Alignments for Semi-supervised Cross-Domain Segmentation. MICCAI (8) 2024: 68-79 - [c197]Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan:
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration. MICCAI (2) 2024: 651-661 - [c196]Bo Zhou, Tianqi Chen, Jun Hou, Yinchi Zhou, Huidong Xie, Chi Liu, James S. Duncan:
PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation. MLMI@MICCAI (1) 2024: 259-268 - [i64]Xiongchao Chen, Bo Zhou, Xueqi Guo, Huidong Xie, Qiong Liu, James S. Duncan, Albert J. Sinusas, Chi Liu:
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT. CoRR abs/2401.13140 (2024) - [i63]Bo Zhou, Jun Hou, Tianqi Chen, Yinchi Zhou, Xiongchao Chen, Huidong Xie, Qiong Liu, Xueqi Guo, Yu-Jung Tsai, Vladimir Y. Panin, Takuya Toyonaga, James S. Duncan, Chi Liu:
POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation. CoRR abs/2401.14285 (2024) - [i62]Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan:
Robust automated calcification meshing for biomechanical cardiac digital twins. CoRR abs/2403.04998 (2024) - [i61]Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan:
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CoRR abs/2403.07241 (2024) - [i60]Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou:
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. CoRR abs/2405.12223 (2024) - [i59]Tianqi Chen, Jun Hou, Yinchi Zhou, Huidong Xie, Xiongchao Chen, Qiong Liu, Xueqi Guo, Menghua Xia, James S. Duncan, Chi Liu, Bo Zhou:
2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction. CoRR abs/2406.08374 (2024) - [i58]Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis. CoRR abs/2406.12065 (2024) - [i57]Caglar Ozturk, Daniel H. Pak, Luca Rosalia, Debkalpa Goswami, Mary E. Robakowski, Raymond McKay, Christopher T. Nguyen, James S. Duncan, Ellen T. Roche:
AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis. CoRR abs/2407.00535 (2024) - 2023
- [j81]Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. J. Digit. Imaging 36(2): 666-678 (2023) - [j80]Shawn S. Ahn, Kevinminh Ta, Stephanie Thorn, John A. Onofrey, Inga H. Melvinsdottir, Supum Lee, Jonathan Langdon, Albert J. Sinusas, James S. Duncan:
Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography. Medical Image Anal. 84: 102711 (2023) - [j79]Xiongchao Chen, Bo Zhou, Huidong Xie, Xueqi Guo, Jiazhen Zhang, James S. Duncan, Edward J. Miller, Albert J. Sinusas, John A. Onofrey, Chi Liu:
DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. Medical Image Anal. 88: 102840 (2023) - [j78]Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, Jun Hou, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu:
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. Medical Image Anal. 90: 102993 (2023) - [c195]Zhuotong Cai, Jingmin Xin, Siyuan Dong, Chenyu You, Peiwen Shi, Tianyi Zeng, Jiazhen Zhang, John A. Onofrey, Nanning Zheng, James S. Duncan:
Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation. BIBM 2023: 819-824 - [c194]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. IPMI 2023: 119-131 - [c193]Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang, Xueqi Guo, Huidong Xie, Xiongchao Chen, Tianshun Miao, Yihuan Lu, James S. Duncan, Chi Liu:
Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET. IPMI 2023: 523-535 - [c192]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan:
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation. IPMI 2023: 641-653 - [c191]Peiyu Duan, Yuan Xue, Shuo Han, Lianrui Zuo, Aaron Carass, Caitlyn Bernhard, Savannah Hays, Peter A. Calabresi, Susan M. Resnick, James S. Duncan, Jerry L. Prince:
Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee. ISBI 2023: 1-5 - [c190]Zhuotong Cai, Tianyi Zeng, Eléonore V. Lieffrig, Jiazhen Zhang, Fuyao Chen, Takuya Toyonaga, Chenyu You, Jingmin Xin, Nanning Zheng, Yihuan Lu, James S. Duncan, John A. Onofrey:
Cross-Attention for Improved Motion Correction in Brain PET. MLCN@MICCAI 2023: 34-45 - [c189]Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan:
Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation. MLCN@MICCAI 2023: 79-88 - [c188]Nicha C. Dvornek, Catherine Sullivan, James S. Duncan, Abha R. Gupta:
Copy Number Variation Informs fMRI-Based Prediction of Autism Spectrum Disorder. MLCN@MICCAI 2023: 133-142 - [c187]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan:
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. MICCAI (4) 2023: 194-205 - [c186]Xiangyi Yan, Junayed Naushad, Chenyu You, Hao Tang, Shanlin Sun, Kun Han, Haoyu Ma, James S. Duncan, Xiaohui Xie:
Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation. MICCAI (2) 2023: 468-478 - [c185]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan:
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. MICCAI (3) 2023: 561-571 - [c184]Kun Han, Yifeng Xiong, Chenyu You, Pooya Khosravi, Shanlin Sun, Xiangyi Yan, James S. Duncan, Xiaohui Xie:
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation. MICCAI (1) 2023: 759-769 - [c183]Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S. Kevin Zhou, Lawrence H. Staib, James S. Duncan:
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. NeurIPS 2023 - [c182]Bo Zhou, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. WACV 2023: 4955-4964 - [e14]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14220, Springer 2023, ISBN 978-3-031-43906-3 [contents] - [e13]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14221, Springer 2023, ISBN 978-3-031-43894-3 [contents] - [e12]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14222, Springer 2023, ISBN 978-3-031-43897-4 [contents] - [e11]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14223, Springer 2023, ISBN 978-3-031-43900-1 [contents] - [e10]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14224, Springer 2023, ISBN 978-3-031-43903-2 [contents] - [e9]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14225, Springer 2023, ISBN 978-3-031-43986-5 [contents] - [e8]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14226, Springer 2023, ISBN 978-3-031-43989-6 [contents] - [e7]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14227, Springer 2023, ISBN 978-3-031-43992-6 [contents] - [e6]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14228, Springer 2023, ISBN 978-3-031-43995-7 [contents] - [e5]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14229, Springer 2023, ISBN 978-3-031-43998-8 [contents] - [i56]Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. CoRR abs/2301.02069 (2023) - [i55]Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan:
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. CoRR abs/2302.01735 (2023) - [i54]Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang, Xueqi Guo, Huidong Xie, Xiongchao Chen, Tianshun Miao, Yihuan Lu, James S. Duncan, Chi Liu:
Fast-MC-PET: A Novel Deep Learning-aided Motion Correction and Reconstruction Framework for Accelerated PET. CoRR abs/2302.07135 (2023) - [i53]Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan, Michal Sofka:
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction. CoRR abs/2302.09244 (2023) - [i52]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. CoRR abs/2303.00942 (2023) - [i51]Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu:
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising. CoRR abs/2304.00570 (2023) - [i50]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan:
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. CoRR abs/2304.02689 (2023) - [i49]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan:
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. CoRR abs/2304.03209 (2023) - [i48]Xiangyi Yan, Junayed Naushad, Chenyu You, Hao Tang, Shanlin Sun, Kun Han, Haoyu Ma, James Duncan, Xiaohui Xie:
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation. CoRR abs/2304.03406 (2023) - [i47]Kun Han, Yifeng Xiong, Chenyu You, Pooya Khosravi, Shanlin Sun, Xiangyi Yan, James Duncan, Xiaohui Xie:
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation. CoRR abs/2304.04106 (2023) - [i46]Nicha C. Dvornek, Catherine Sullivan, James S. Duncan, Abha R. Gupta:
Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder. CoRR abs/2308.05122 (2023) - [i45]Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan:
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation. CoRR abs/2308.15564 (2023) - [i44]Siyuan Dong, Henk M. De Feyter, Monique A. Thomas, Robin A. de Graaf, James S. Duncan:
Preserved Edge Convolutional Neural Network for Sensitivity Enhancement of Deuterium Metabolic Imaging (DMI). CoRR abs/2309.04100 (2023) - [i43]Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - [i42]Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan:
Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images. CoRR abs/2312.00836 (2023) - [i41]Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan:
An Adaptive Correspondence Scoring Framework for Unsupervised Image Registration of Medical Images. CoRR abs/2312.00837 (2023) - 2022
- [j77]Bo Zhou, Xiongchao Chen, S. Kevin Zhou, James S. Duncan, Chi Liu:
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography. Medical Image Anal. 75: 102289 (2022) - [j76]Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan, Michal Sofka:
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. Medical Image Anal. 81: 102538 (2022) - [j75]Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(9): 2228-2237 (2022) - [j74]Bo Zhou, Xiongchao Chen, Huidong Xie, S. Kevin Zhou, James S. Duncan, Chi Liu:
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction. IEEE Trans. Medical Imaging 41(12): 3587-3599 (2022) - [c181]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR 2022 - [c180]Siyuan Dong, Gilbert Hangel, Eric Z. Chen, Shanhui Sun, Wolfgang Bogner, Georg Widhalm, Chenyu You, John A. Onofrey, Robin A. de Graaf, James S. Duncan:
Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging. DGM4MICCAI@MICCAI 2022: 3-13 - [c179]Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan:
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. DeCaF/FAIR@MICCAI 2022: 3-16 - [c178]Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Karl Rössler, Siegfried Trattnig, Chenyu You, Robin A. de Graaf, John A. Onofrey, James S. Duncan:
Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness. MICCAI (6) 2022: 410-420 - [c177]Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. MICCAI (4) 2022: 639-652 - [c176]Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Adversarial Transformers for Medical Image Segmentation. NeurIPS 2022 - [c175]Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan:
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. STACOM@MICCAI 2022: 13-25 - [i40]Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. CoRR abs/2201.10737 (2022) - [i39]Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. CoRR abs/2201.10776 (2022) - [i38]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR abs/2203.08065 (2022) - [i37]Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan:
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. CoRR abs/2206.01369 (2022) - [i36]Chenyu You, Weicheng Dai, Lawrence H. Staib, James S. Duncan:
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation. CoRR abs/2206.02307 (2022) - [i35]Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Karl Rössler, Siegfried Trattnig, Chenyu You, Robin A. de Graaf, John A. Onofrey, James S. Duncan:
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness. CoRR abs/2206.08984 (2022) - [i34]Siyuan Dong, Gilbert Hangel, Eric Z. Chen, Shanhui Sun, Wolfgang Bogner, Georg Widhalm, Chenyu You, John A. Onofrey, Robin A. de Graaf, James S. Duncan:
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging. CoRR abs/2207.10181 (2022) - [i33]Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan:
Learning correspondences of cardiac motion from images using biomechanics-informed modeling. CoRR abs/2209.00726 (2022) - [i32]Chenyu You, Weicheng Dai, Fenglin Liu, Haoran Su, Xiaoran Zhang, Lawrence H. Staib, James S. Duncan:
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels. CoRR abs/2209.13476 (2022) - 2021
- [j73]Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan:
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. Medical Image Anal. 71: 102041 (2021) - [j72]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. 74: 102233 (2021) - [j71]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE 109(5): 820-838 (2021) - [j70]Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu:
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer. IEEE Trans. Medical Imaging 40(7): 1792-1804 (2021) - [j69]Allen Lu, Shawn S. Ahn, Kevinminh Ta, Nripesh Parajuli, John C. Stendahl, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. IEEE Trans. Medical Imaging 40(9): 2233-2245 (2021) - [j68]Bo Zhou, Yu-Jung Tsai, Xiongchao Chen, James S. Duncan, Chi Liu:
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET. IEEE Trans. Medical Imaging 40(11): 3154-3164 (2021) - [c174]Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Siegfried Trattnig, Karl Rössler, Georg Widhalm, Henk M. De Feyter, Robin A. de Graaf, James S. Duncan:
High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss. EMBC 2021: 2891-2895 - [c173]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR 2021 - [c172]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan:
Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. IPMI 2021: 58-70 - [c171]Daniel H. Pak, Minliang Liu, Shawn S. Ahn, Andrés Caballero, John A. Onofrey, Liang Liang, Wei Sun, James S. Duncan:
Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images. IPMI 2021: 637-648 - [c170]Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography. ISBI 2021: 536-540 - [c169]Bo Zhou, Rui Wang, Ming-Kai Chen, Adam P. Mecca, Ryan S. O'Dell, Christopher H. van Dyck, Richard E. Carson, James S. Duncan, Chi Liu:
Synthesizing Multi-tracer PET Images for Alzheimer's Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial Network. MICCAI (6) 2021: 34-43 - [c168]Bo Zhou, Chi Liu, James S. Duncan:
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth. MICCAI (1) 2021: 47-56 - [c167]Shawn S. Ahn, Kevinminh Ta, Stephanie Thorn, Jonathan Langdon, Albert J. Sinusas, James S. Duncan:
Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography. MICCAI (1) 2021: 348-357 - [c166]Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Raymond McKay, Wei Sun, James S. Duncan:
Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves. MICCAI (6) 2021: 485-494 - [c165]Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. NeurIPS 2021: 28249-28260 - [c164]Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Jonathan Langdon, Albert J. Sinusas, James S. Duncan:
Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning. STACOM@MICCAI 2021: 123-131 - [i31]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. CoRR abs/2102.04668 (2021) - [i30]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan:
Multiple-shooting adjoint method for whole-brain dynamic causal modeling. CoRR abs/2102.11013 (2021) - [i29]Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan:
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration. CoRR abs/2104.07056 (2021) - [i28]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. CoRR abs/2104.07654 (2021) - [i27]Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs. CoRR abs/2105.02869 (2021) - [i26]Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. CoRR abs/2105.07059 (2021) - [i25]Bo Zhou, Chi Liu, James S. Duncan:
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth. CoRR abs/2107.05482 (2021) - [i24]Bo Zhou, Rui Wang, Ming-Kai Chen, Adam P. Mecca, Ryan S. O'Dell, Christopher H. van Dyck, Richard E. Carson, James S. Duncan, Chi Liu:
Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network. CoRR abs/2107.05491 (2021) - [i23]Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. CoRR abs/2108.06227 (2021) - [i22]Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. CoRR abs/2110.05454 (2021) - 2020
- [j67]Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Medical Image Anal. 65: 101765 (2020) - [j66]James S. Duncan, Michael F. Insana, Nicholas Ayache:
Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning. Proc. IEEE 108(1): 3-10 (2020) - [j65]Fan Zhang, Nicha C. Dvornek, Junlin Yang, Julius Chapiro, Jim Duncan:
Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. IEEE Trans. Medical Imaging 39(11): 3331-3342 (2020) - [c163]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan:
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML 2020: 11639-11649 - [c162]Zachary Augenfeld, Ming De Lin, Julius Chapiro, James S. Duncan:
Automatic Multimodal Registration via Intraprocedural Cone-Beam CT Segmentation using MRI Distance Maps. ISBI 2020: 1-4 - [c161]Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. ISBI 2020: 1-4 - [c160]Kevinminh Ta, Shawn S. Ahn, Allen Lu, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography. ISBI 2020: 1734-1737 - [c159]Daniel H. Pak, Andrés Caballero, Wei Sun, James S. Duncan:
Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network. ISBI 2020: 1738-1742 - [c158]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph embedding using Infomax for ASD classification and brain functional difference detection. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131702 - [c157]Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan:
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI 2020: 52-61 - [c156]Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan:
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 155-163 - [c155]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. MLMI@MICCAI 2020: 363-372 - [c154]Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography. MICCAI (6) 2020: 468-477 - [c153]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) 2020: 625-635 - [c152]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan:
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. MICCAI (1) 2020: 792-801 - [c151]Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan:
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. NeurIPS 2020 - [i21]Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results. CoRR abs/2001.05647 (2020) - [i20]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan:
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. CoRR abs/2006.02493 (2020) - [i19]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR abs/2007.14589 (2020) - [i18]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR abs/2008.09104 (2020) - [i17]Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu:
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency. CoRR abs/2009.01782 (2020) - [i16]Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan:
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation. CoRR abs/2009.02831 (2020) - [i15]Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan:
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR abs/2010.07468 (2020)
2010 – 2019
- 2019
- [j64]Nripesh Parajuli, Allen Lu, Kevinminh Ta, John C. Stendahl, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Geng-Shi Jeng, Maria Zontak, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis. Medical Image Anal. 55: 116-135 (2019) - [c150]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan:
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops 2019: 323-331 - [c149]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision explanation and feature importance for invertible networks. ICCV Workshops 2019: 4235-4239 - [c148]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. IPMI 2019: 718-730 - [c147]Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. ISBI 2019: 404-408 - [c146]Clinton J. Wang, Charlie A. Hamm, Brian S. Letzen, James S. Duncan:
A probabilistic approach for interpretable deep learning in liver cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis 2019: 109500U - [c145]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan:
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. MICCAI (2) 2019: 255-263 - [c144]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan:
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. MLMI@MICCAI 2019: 382-390 - [c143]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Neural Network for Interpreting Task-fMRI Biomarkers. MICCAI (5) 2019: 485-493 - [c142]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Invertible Network for Classification and Biomarker Selection for ASD. MICCAI (3) 2019: 700-708 - [c141]Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James S. Duncan, James C. Gee, Shi Gu:
Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder. MICCAI (3) 2019: 799-807 - [i14]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Neural Network for Interpreting Task-fMRI Biomarkers. CoRR abs/1907.01661 (2019) - [i13]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Invertible Network for Classification and Biomarker Selection for ASD. CoRR abs/1907.09729 (2019) - [i12]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan:
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. CoRR abs/1907.13590 (2019) - [i11]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. CoRR abs/1908.04769 (2019) - [i10]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan:
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. CoRR abs/1908.10489 (2019) - [i9]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision Explanation and Feature Importance for Invertible Networks. CoRR abs/1910.00406 (2019) - [i8]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan:
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. CoRR abs/1910.06950 (2019) - [i7]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, Aaron Abajian, James S. Duncan:
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. CoRR abs/1912.00411 (2019) - 2018
- [j63]Geng-Shi Jeng, Maria Zontak, Nripesh Parajuli, Allen Lu, Kevinminh Ta, Albert J. Sinusas, James S. Duncan, Matthew O'Donnell:
Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging. IEEE Access 6: 17415-17428 (2018) - [c140]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan:
Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. ISBI 2018: 97-100 - [c139]Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks. ISBI 2018: 725-728 - [c138]Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. ISBI 2018: 1252-1255 - [c137]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Prediction of Severity and Treatment Outcome for ASD from fMRI. PRIME@MICCAI 2018: 9-17 - [c136]Fan Zhang, Junlin Yang, Nariman Nezami, Fabian Laage-gaupp, Julius Chapiro, Ming De Lin, James S. Duncan:
Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework. Patch-MI@MICCAI 2018: 59-66 - [c135]Omar Sultan Al-Kadi, Allen Lu, Albert J. Sinusas, James S. Duncan:
Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion. STACOM@MICCAI 2018: 77-84 - [c134]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. MICCAI (3) 2018: 206-214 - [c133]Nicha C. Dvornek, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan:
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. MICCAI (3) 2018: 329-337 - [i6]Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan:
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. CoRR abs/1805.09799 (2018) - [i5]Nripesh Parajuli, Allen Lu, Kevinminh Ta, John C. Stendahl, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Geng-Shi Jeng, Maria Zontak, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis. CoRR abs/1807.02951 (2018) - [i4]Allen Lu, Nripesh Parajuli, Maria Zontak, John C. Stendahl, Kevinminh Ta, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Imran Alkhalil, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation. CoRR abs/1807.04807 (2018) - [i3]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. CoRR abs/1808.08296 (2018) - [i2]Xiaoxiao Li, Vivek K. Singh, Yifan Wu, Klaus J. Kirchberg, James S. Duncan, Ankur Kapoor:
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging. CoRR abs/1811.03343 (2018) - [i1]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. CoRR abs/1812.06181 (2018) - 2017
- [j62]Fan Zhang, Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Puneet Sharma, Razvan Ioan Ionasec, Lakshman Subrahmanyan, Ben A. Lin, Lissa Sugeng, David D. Yuh, Dorin Comaniciu, James S. Duncan:
Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation. Medical Image Anal. 35: 599-609 (2017) - [c132]John Treilhard, Susanne Smolka, Lawrence H. Staib, Julius Chapiro, Ming De Lin, Georgy Shakirin, James S. Duncan:
Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation. MICCAI (3) 2017: 81-88 - [c131]Nripesh Parajuli, Allen Lu, John C. Stendahl, Maria Zontak, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Ben A. Lin, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching. MICCAI (2) 2017: 279-286 - [c130]Allen Lu, Maria Zontak, Nripesh Parajuli, John C. Stendahl, Nabil Boutagy, Melissa Eberle, Imran Alkhalil, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis. MICCAI (2) 2017: 323-331 - [c129]Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan:
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. MLMI@MICCAI 2017: 362-370 - 2016
- [j61]Archana Venkataraman, Daniel Y.-J. Yang, Kevin A. Pelphrey, James S. Duncan:
Bayesian Community Detection in the Space of Group-Level Functional Differences. IEEE Trans. Medical Imaging 35(8): 1866-1882 (2016) - [c128]Henry R. Ehrenberg, Daniel Cornfeld, Cayce B. Nawaf, Preston C. Sprenkle, James S. Duncan:
Decision forests for learning prostate cancer probability maps from multiparametric MRI. Medical Imaging: Computer-Aided Diagnosis 2016: 97851J - [c127]Nripesh Parajuli, Allen Lu, John C. Stendahl, Maria Zontak, Nabil Boutagy, Melissa Eberle, Imran Alkhalil, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis. MICCAI (1) 2016: 431-438 - [c126]Liang Liang, Caitlin Martin, Qian Wang, Wei Sun, James S. Duncan:
Estimation of aortic valve leaflets from 3D CT images using local shape dictionaries and linear coding. Medical Imaging: Image Processing 2016: 978432 - 2015
- [j60]Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan:
Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" [Med. Image Anal.18(2) (2014) 253-271]. Medical Image Anal. 22(1): 21 (2015) - [j59]Colin B. Compas, Emily Y. Wong, Xiaojie Huang, Smita Sampath, Ben A. Lin, Prasanta Pal, Xenophon Papademetris, Karl Thiele, Donald P. Dione, Mitchel Stacy, Lawrence H. Staib, Albert J. Sinusas, Matthew O'Donnell, James S. Duncan:
Correction to "Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography". IEEE Trans. Medical Imaging 34(2): 690 (2015) - [c125]Nripesh Parajuli, Colin B. Compas, Ben A. Lin, Smita Sampath, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis. FIMH 2015: 57-64 - [c124]Nripesh Parajuli, Allen Lu, James S. Duncan:
Left Ventricle Classification Using Active Shape Model and Support Vector Machine. STACOM@MICCAI 2015: 154-161 - 2014
- [j58]Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan:
Contour tracking in echocardiographic sequences via sparse representation and dictionary learning. Medical Image Anal. 18(2): 253-271 (2014) - [j57]Liang Liang, Hongying Shen, Pietro De Camilli, James S. Duncan:
A Novel Multiple Hypothesis Based Particle Tracking Method for Clathrin Mediated Endocytosis Analysis Using Fluorescence Microscopy. IEEE Trans. Image Process. 23(4): 1844-1857 (2014) - [j56]Colin B. Compas, Emily Y. Wong, Xiaojie Huang, Smita Sampath, Ben A. Lin, Prasanta Pal, Xenophon Papademetris, Karl Thiele, Donald P. Dione, Mitchel Stacy, Lawrence H. Staib, Albert J. Sinusas, Matthew O'Donnell, James S. Duncan:
Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography. IEEE Trans. Medical Imaging 33(6): 1275-1289 (2014) - 2013
- [c123]Xiaowei Zhou, Xiaojie Huang, James S. Duncan, Weichuan Yu:
Active Contours with Group Similarity. CVPR 2013: 2969-2976 - [c122]Liang Liang, Hongying Shen, Panteleimon Rompolas, Valentina Greco, Pietro De Camilli, James S. Duncan:
A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation. IPMI 2013: 98-109 - [c121]Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Puneet Sharma, Razvan Ioan Ionasec, Dorin Comaniciu, James S. Duncan:
Estimation of patient-specific material properties of the mitral valve using 4D Transesophageal Echocardiography. ISBI 2013: 1178-1181 - [c120]Xiaojie Huang, Donald P. Dione, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, James S. Duncan:
Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning. MICCAI (3) 2013: 57-65 - [c119]Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Puneet Sharma, Razvan Ioan Ionasec, Dorin Comaniciu, James S. Duncan:
Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography. STACOM 2013: 162-170 - 2012
- [j55]Paul C. Pearlman, Hemant D. Tagare, Ben A. Lin, Albert J. Sinusas, James S. Duncan:
Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor. Medical Image Anal. 16(2): 351-360 (2012) - [j54]Chao Lu, Sudhakar Chelikani, David A. Jaffray, Michael F. Milosevic, Lawrence H. Staib, James S. Duncan:
Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy. IEEE Trans. Medical Imaging 31(6): 1213-1227 (2012) - [j53]Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan:
Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation. IEEE Trans. Medical Imaging 31(8): 1607-1619 (2012) - [c118]Colin B. Compas, Emily Y. Wong, Xiaojie Huang, Smita Sampath, Ben A. Lin, Xenophon Papademetris, Karl Thiele, Donald P. Dione, Albert J. Sinusas, Matthew O'Donnell, James S. Duncan:
A combined shape tracking and speckle tracking approach for 4D deformation analysis in echocardiography. ISBI 2012: 458-461 - [c117]Liang Liang, Hongying Shen, Yingke Xu, Pietro De Camilli, Derek Toomre, James S. Duncan:
A Bayesian method for 3D estimation of subcellular particle features in multi-angle TIRF microscopy. ISBI 2012: 984-987 - [c116]Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Albert J. Sinusas, James S. Duncan:
A Dynamical Appearance Model Based on Multiscale Sparse Representation: Segmentation of the Left Ventricle from 4D Echocardiography. MICCAI (3) 2012: 58-65 - [c115]Nicha Chitphakdithai, Veronica L. Chiang, James S. Duncan:
Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling. STIA 2012: 124-136 - [c114]Chao Lu, Yefeng Zheng, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Christian Tietjen, Thomas Boettger, James S. Duncan, Shaohua Kevin Zhou:
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. MICCAI (2) 2012: 462-469 - [c113]Chao Lu, James S. Duncan:
A coupled segmentation and registration framework for medical image analysis using robust point matching and active shape model. MMBIA 2012: 129-136 - [c112]Liang Liang, Yingke Xu, Hongying Shen, Pietro De Camilli, Derek K. Toomre, James S. Duncan:
Automatic detection of subcellular particles in fluorescence microscopy via feature clustering and bayesian analysis. MMBIA 2012: 161-166 - [c111]Xiaojie Huang, Ben A. Lin, Colin B. Compas, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan:
Segmentation of left ventricles from echocardiographic sequences via sparse appearance representation. MMBIA 2012: 305-312 - 2011
- [j52]Chao Lu, Sudhakar Chelikani, Xenophon Papademetris, Jonathan Knisely, Michael F. Milosevic, Zhe Chen, David A. Jaffray, Lawrence H. Staib, James S. Duncan:
An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy. Medical Image Anal. 15(5): 772-785 (2011) - [j51]Qian Yang, Alexander Karpikov, Derek Toomre, James S. Duncan:
3-D Reconstruction of Microtubules From Multi-Angle Total Internal Reflection Fluorescence Microscopy Using Bayesian Framework. IEEE Trans. Image Process. 20(8): 2248-2259 (2011) - [c110]Nicha Chitphakdithai, Veronica L. Chiang, James S. Duncan:
Non-rigid registration of longitudinal brain tumor treatment MRI. EMBC 2011: 4893-4896 - [c109]Colin B. Compas, Ben A. Lin, Smita Sampath, Congxian Jia, Qifeng Wei, Albert J. Sinusas, James S. Duncan:
Multi-frame Radial Basis Functions to Combine Shape and Speckle Tracking for Cardiac Deformation Analysis in Echocardiography. FIMH 2011: 113-120 - [c108]Colin B. Compas, Ben A. Lin, Smita Sampath, Lingyun Huang, Qifeng Wei, Albert J. Sinusas, James S. Duncan:
Comparing Shape Tracking, Speckle Tracking, and a Combined Method for Deformation Analysis in Echocardiography. HISB 2011: 120-125 - [c107]Chao Lu, Jingjing Zhu, James S. Duncan:
An algorithm for simultaneous image segmentation and nonrigid registration, with clinical application in image guided radiotherapy. ICIP 2011: 429-432 - [c106]Paul C. Pearlman, Hemant D. Tagare, Ben A. Lin, Albert J. Sinusas, James S. Duncan:
Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor. IPMI 2011: 37-48 - [c105]Chao Lu, Sudhakar Chelikani, James S. Duncan:
A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy. IPMI 2011: 525-537 - [c104]Paul C. Pearlman, Hemant D. Tagare, Ben A. Lin, Albert J. Sinusas, James S. Duncan:
Segmentation of 3D RF echocardiography using a joint spatio-temporal predictor and signal intensity model. ISBI 2011: 649-652 - [c103]Colin B. Compas, Ben A. Lin, Smita Sampath, Albert J. Sinusas, James S. Duncan:
Combining shape and speckle tracking for deformation analysis in echocardiography using radial basis functions. ISBI 2011: 1322-1325 - [c102]Nicolas Honnorat, Régis Vaillant, James S. Duncan, Nikos Paragios:
Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods. ISBI 2011: 1353-1357 - [c101]Nicha Chitphakdithai, Kenneth P. Vives, James S. Duncan:
Registration of brain resection MRI with intensity and location priors. ISBI 2011: 1520-1523 - [c100]Chao Lu, James S. Duncan:
A Non-rigid Registration Framework That Accommodates Pathology Detection. MLMI 2011: 83-90 - [c99]Liang Liang, Hongying Shen, Pietro De Camilli, Derek Toomre, James S. Duncan:
An Expectation Maximization Based Method for Subcellular Particle Tracking Using Multi-angle TIRF Microscopy. MICCAI (1) 2011: 629-636 - 2010
- [j50]William Harvey Greene, Sudhakar Chelikani, Kailasnath Purushothaman, Jonathan Knisely, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan:
Corrigendum to "Constrained non-rigid registration for use in image-guided adaptive radiotherapy" [Medical Image Analysis 13 (2009) 809-817]. Medical Image Anal. 14(1): 85 (2010) - [j49]Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint. Medical Image Anal. 14(3): 429-448 (2010) - [j48]Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan:
Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery. IEEE Trans. Medical Imaging 29(2): 322-338 (2010) - [j47]Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
Segmentation of the Left Ventricle From Cardiac MR Images Using a Subject-Specific Dynamical Model. IEEE Trans. Medical Imaging 29(3): 669-687 (2010) - [c98]Chao Lu, Sudhakar Chelikani, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan:
Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy. CVPR Workshops 2010: 133-138 - [c97]Nicha Chitphakdithai, James S. Duncan:
Pairwise registration of images with missing correspondences due to resection. ISBI 2010: 1025-1028 - [c96]Chao Lu, Sudhakar Chelikani, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan:
Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy. MICCAI (1) 2010: 53-60 - [c95]Liang Liang, Hongying Shen, Pietro De Camilli, James S. Duncan:
Tracking Clathrin Coated Pits with a Multiple Hypothesis Based Method. MICCAI (2) 2010: 315-322 - [c94]Nicha Chitphakdithai, James S. Duncan:
Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images. MICCAI (1) 2010: 367-374 - [c93]Paul C. Pearlman, Hemant D. Tagare, Albert J. Sinusas, James S. Duncan:
3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor. MICCAI (1) 2010: 502-509 - [c92]Qian Yang, Alexander Karpikov, Derek Toomre, James S. Duncan:
Estimation of 3D Geometry of Microtubules Using Multi-angle Total Internal Reflection Fluorescence Microscopy. MICCAI (2) 2010: 538-545 - [e4]Barbara Caputo, Henning Müller, Tanveer Fathima Syeda-Mahmood, James S. Duncan, Fei Wang, Jayashree Kalpathy-Cramer:
Medical Content-Based Retrieval for Clinical Decision Support, First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009, Revised Selected Papers. Lecture Notes in Computer Science 5853, Springer 2010, ISBN 978-3-642-11768-8 [contents]
2000 – 2009
- 2009
- [j46]William Harvey Greene, Sudhakar Chelikani, Kailas Purushothaman, J. P. S. Knisely, Zhe Chen, Xenophon Papademetris, Lawrence H. Staib, James S. Duncan:
Constrained non-rigid registration for use in image-guided adaptive radiotherapy. Medical Image Anal. 13(5): 809-817 (2009) - [c91]Qian Yang, Alexander Karpikov, Derek Toomre, James S. Duncan:
3-D reconstruction and measurement of microtubules from multiple angle-total internal reflection fluorescence microscopy. CVPR Workshops 2009: 172-177 - [c90]Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography. MICCAI (1) 2009: 206-213 - 2008
- [j45]Stathis Hadjidemetriou, Derek Toomre, James S. Duncan:
Motion tracking of the outer tips of microtubules. Medical Image Anal. 12(6): 689-702 (2008) - [c89]James S. Duncan:
"Model-based strategies for biomedical image analysis". BIBE 2008: 1 - [c88]Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
Segmentation of left ventricle from 3D cardiac MR image sequences using a subject-specific dynamical model. CVPR 2008 - [c87]Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
Integrated segmentation and motion analysis of cardiac MR images using a subject-specific dynamical model. CVPR Workshops 2008: 1-8 - [c86]William Harvey Greene, Sudhakar Chelikani, Xenophon Papademetris, Lawrence H. Staib, Jonathan Knisely, James S. Duncan:
Tracking organ overlap for a constrained non-rigid registration algorithm. ISBI 2008: 1159-1162 - [c85]Yun Zhu, Ping Yan, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
Integrated segmentation and deformation analysis of 4-D cardiac MR images. ISBI 2008: 1437-1440 - [c84]Deepti R. Bathula, Hemant D. Tagare, Lawrence H. Staib, Xenophon Papademetris, Robert T. Schultz, James S. Duncan:
Bayesian Analysis of fMRI Data with ICA Based Spatial Prior. MICCAI (2) 2008: 246-254 - [c83]Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model. MICCAI (2) 2008: 450-457 - [c82]William Harvey Greene, Sudhakar Chelikani, Kailas Purushothaman, Zhe Chen, Jonathan Knisely, Lawrence H. Staib, Xenophon Papademetris, James S. Duncan:
A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy. MICCAI (1) 2008: 780-788 - 2007
- [j44]Ping Yan, Albert J. Sinusas, James S. Duncan:
Boundary element method-based regularization for recovering of LV deformation. Medical Image Anal. 11(6): 540-554 (2007) - [c81]Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
Local Shape Registration Using Boundary-Constrained Match of Skeletons. CVPR 2007 - [c80]Christine DeLorenzo, Xenophon Papademetris, Lawrence H. Staib, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan:
Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory. ICCV 2007: 1-8 - [c79]Ping Yan, Congxian Jia, Albert J. Sinusas, Karl Thiele, Matthew O'Donnell, James S. Duncan:
LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images. IPMI 2007: 233-244 - [c78]Christine DeLorenzo, Xenophon Papademetris, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan:
A Realistic Brain Phantom for 3d Deformation Recovery. ISBI 2007: 9-12 - [c77]Yun Zhu, Xenophon Papademetris, James S. Duncan, Albert J. Sinusas:
Cardiac Mr Image Segmentation with Incompressibility Constraint. ISBI 2007: 185-188 - [c76]Deepti R. Bathula, Xenophon Papademetris, James S. Duncan:
Level Set Based Clustering for Analysis of Functional Mri Data. ISBI 2007: 416-419 - [c75]James S. Duncan, Ping Yan, Yun Zhu, Albert J. Sinusas, Congxian Jia, Matthew O'Donnell:
Lv Strain Estimation from 4d Echocardiography. ISBI 2007: 696-699 - [c74]William Harvey Greene, Sudhakar Chelikani, Xenophon Papademetris, Jonathan Knisely, James S. Duncan:
A Constrained Non-Rigid Registration Algorithm for Application in Prostate Radiotherapy. ISBI 2007: 740-743 - [c73]Ping Yan, Albert J. Sinusas, James S. Duncan:
LV Segmentation from 3d Echocardiography Using Fuzzy Features and a Multilevel FFD Model. ISBI 2007: 848-851 - [c72]Yun Zhu, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility Constraint. MICCAI (1) 2007: 44-51 - [c71]Christine DeLorenzo, Xenophon Papademetris, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan:
A Comprehensive System for Intraoperative 3D Brain Deformation Recovery. MICCAI (2) 2007: 553-561 - 2006
- [j43]Weichuan Yu, Ping Yan, Albert J. Sinusas, Karl Thiele, James S. Duncan:
Towards pointwise motion tracking in echocardiographic image sequences - Comparing the reliability of different features for speckle tracking. Medical Image Anal. 10(4): 495-508 (2006) - [j42]James S. Duncan, Guido Gerig:
Editorial. Medical Image Anal. 10(5): 671-672 (2006) - [c70]Ping Yan, Albert J. Sinusas, James S. Duncan:
Boundary Element Method-Based Scattered Feature Interpolation Algorithm in the Analysis of LV Deformation. CVPR Workshops 2006: 84 - [c69]Christine DeLorenzo, Xenophon Papademetris, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan:
Combined feature/intensity-based brain shift compensation using stereo guidance. ISBI 2006: 335-338 - [c68]Xenophon Papademetris, Kenneth P. Vives, Marcello DiStasio, Lawrence H. Staib, Markus Neff, Sven Flossman, Nils Frielinghaus, Hitten Zaveri, Edward J. Novotny, Hal Blumenfeld, R. Todd Constable, Hoby P. Hetherington, Robert B. Duckrow, Susan S. Spencer, Dennis D. Spencer, James S. Duncan:
Development of a research interface for image guided intervention: initial application to epilepsy neurosurgery. ISBI 2006: 490-493 - [c67]Edward Scharff, Xenophon Papademetris, Hoby P. Hetherington, J. W. Pan, Hitten Zaveri, Hal Blumenfeld, Robert B. Duckrow, Susan S. Spencer, Dennis D. Spencer, James S. Duncan, Edward J. Novotny:
Correlation of magnetic resonance spectroscopic imaging and intracranial EEG localization of seizures. 7. ISBI 2006: 510-513 - [c66]Stathis Hadjidemetriou, Derek Toomre, James S. Duncan:
Tracking the motion of the outer tips of microtubules. ISBI 2006: 530-533 - [c65]Christine DeLorenzo, Xenophon Papademetris, Kun Wu, Kenneth P. Vives, Dennis D. Spencer, James S. Duncan:
Nonrigid 3D Brain Registration Using Intensity/Feature Information. MICCAI (1) 2006: 932-939 - 2005
- [j41]Weichuan Yu, Gerald Sommer, Konstantinos Daniilidis, James S. Duncan:
Using skew Gabor filter in source signal separation and local spectral orientation analysis. Image Vis. Comput. 23(4): 377-392 (2005) - [c64]Stathis Hadjidemetriou, Derek Toomre, James S. Duncan:
Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM). MICCAI 2005: 761-769 - [c63]Ping Yan, Ning Lin, Albert J. Sinusas, James S. Duncan:
A Boundary Element-Based Approach to Analysis of LV Deformation. MICCAI 2005: 778-785 - [e3]James S. Duncan, Guido Gerig:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3749, Springer 2005, ISBN 3-540-29327-2 [contents] - [e2]James S. Duncan, Guido Gerig:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3750, Springer 2005, ISBN 3-540-29326-4 [contents] - 2004
- [j40]Nicholas Ayache, Jim Duncan:
Editorial 2004. Medical Image Anal. 8(1): 1 (2004) - [j39]Jing Yang, James S. Duncan:
3D image segmentation of deformable objects with joint shape-intensity prior models using level sets. Medical Image Anal. 8(3): 285-294 (2004) - [j38]Jing Yang, Lawrence H. Staib, James S. Duncan:
Neighbor-constrained segmentation with level set based 3-D deformable models. IEEE Trans. Medical Imaging 23(8): 940-948 (2004) - [c62]Jing Yang, James S. Duncan:
Joint Prior Models of Neighboring Objects for 3D Image Segmentation. CVPR (1) 2004: 314-319 - [c61]Weichuan Yu, Ping Yan, Albert J. Sinusas, Karl Thiele, James S. Duncan:
Pointwise Motion Tracking in Echocardiographic Images. CVPR (1) 2004: 676-683 - [c60]Jing Yang, Hemant D. Tagare, Lawrence H. Staib, James S. Duncan:
Segmentation of 3D Deformable Objects with Level Set Based Prior Models. ISBI 2004: 85-88 - [c59]Weichuan Yu, James S. Duncan:
The Choice of Tracking Feature In Ultrasound-Based Strain Imaging Analysis. ISBI 2004: 304-307 - [c58]Ning Lin, James S. Duncan:
Generalized Robust Point Matching Using An Extended Free-Form Deformation Model: Application to Cardiac Images. ISBI 2004: 320-323 - [c57]Stathis Hadjidemetriou, James S. Duncan, Derek Toomre, David Tuck:
Automatic Quantification of Microtubule Dynamics. ISBI 2004: 656-659 - [c56]Jing Yang, Xenophon Papademetris, Lawrence H. Staib, Robert T. Schultz, James S. Duncan:
Functional Brain Image Analysis Using Joint Function-Structure Priors. MICCAI (2) 2004: 736-744 - [c55]Xenophon Papademetris, Andrea P. Jackowski, Robert T. Schultz, Lawrence H. Staib, James S. Duncan:
Integrated Intensity and Point-Feature Nonrigid Registration. MICCAI (1) 2004: 763-770 - [c54]Hirohito Okuda, Pavel Shkarin, Kevin L. Behar, James S. Duncan, Xenophon Papademetris:
Construction of a 3D Volumetric Probabilistic Model of the Mouse Kidney from MRI. MICCAI (2) 2004: 1052-1054 - 2003
- [j37]Haili Chui, Lawrence Win, Robert T. Schultz, James S. Duncan, Anand Rangarajan:
A unified non-rigid feature registration method for brain mapping. Medical Image Anal. 7(2): 113-130 (2003) - [j36]Ning Lin, Weichuan Yu, James S. Duncan:
Combinative multi-scale level set framework for echocardiographic image segmentation. Medical Image Anal. 7(4): 529-537 (2003) - [j35]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
Entropy-Based, Dual-Portal-to-3DCT Registration Incorporating Pixel Correlation. IEEE Trans. Medical Imaging 22(1): 29-49 (2003) - [j34]James S. Duncan, Lawrence H. Staib:
Image processing and analysis at ipag. IEEE Trans. Medical Imaging 22(12): 1505-1518 (2003) - [c53]Weichuan Yu, Ning Lin, Ping Yan, Kailasnath Purushothaman, Albert J. Sinusas, Karl Thiele, James S. Duncan:
Motion Analysis of 3D Ultrasound Texture Patterns. FIMH 2003: 252-261 - [c52]Jing Yang, Lawrence H. Staib, James S. Duncan:
Neighbor-Constrained Segmentation with 3D Deformable Models. IPMI 2003: 198-209 - [c51]Keiji Kobashi, Xenophon Papademetris, James S. Duncan:
A New Biomechanical Model Based Approach on Brain Shift Compensation. MICCAI (1) 2003: 59-66 - [c50]Ning Lin, Xenophon Papademetris, Albert J. Sinusas, James S. Duncan:
Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm. MICCAI (1) 2003: 556-563 - [c49]Jing Yang, James S. Duncan:
3D Image Segmentation of Deformable Objects with Shape-Appearance Joint Prior Models. MICCAI (1) 2003: 573-580 - [c48]Xenophon Papademetris, Andrea P. Jackowski, Robert T. Schultz, Lawrence H. Staib, James S. Duncan:
Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis. MICCAI (2) 2003: 788-795 - [c47]Sudhakar Chelikani, Kailasnath Purushothaman, James S. Duncan:
Support Vector Machine Density Estimator as a Generalized Parzen Windows Estimator for Mutual Information based Image Registration. MICCAI (2) 2003: 854-861 - 2002
- [j33]Oskar M. Skrinjar, Arya Nabavi, James S. Duncan:
Model-driven brain shift compensation. Medical Image Anal. 6(4): 361-373 (2002) - [j32]Xenophon Papademetris, Albert J. Sinusas, Donald P. Dione, R. Todd Constable, James S. Duncan:
Estimation of 3D left ventricular deformation from medical images using biomechanical models. IEEE Trans. Medical Imaging 21(7): 786-800 (2002) - [j31]Alejandro F. Frangi, Daniel Rueckert, James S. Duncan:
Three-dimensional Cardiovascular Image Analysis. IEEE Trans. Medical Imaging 21(9): 1005-1010 (2002) - [c46]James S. Duncan:
Geometrical and Physical Models for the Recovery of Quantitative Information from Medical Image Analysis. ICPR (2) 2002: 277 - [c45]Oskar M. Skrinjar, James S. Duncan:
Stereo-guided volumetric deformation recovery. ISBI 2002: 863-866 - [c44]Jing Yang, Lawrence H. Staib, James S. Duncan:
Statistical Neighbor Distance Influence in Active Contours. MICCAI (1) 2002: 588-595 - [c43]Ning Lin, Weichuan Yu, James S. Duncan:
Combinative Multi-scale Level Set Framework for Echocardiographic Image Segmentation. MICCAI (1) 2002: 682-689 - 2001
- [j30]Xenophon Papademetris, Albert J. Sinusas, Donald P. Dione, James S. Duncan:
Estimation of 3D left ventricular deformation from echocardiography. Medical Image Anal. 5(1): 17-28 (2001) - [c42]James S. Duncan:
The Use of Geometrical and Physical Models in Medical Image Analysis. BMVC 2001: 1 - [c41]Xenophon Papademetris, E. Turan Onat, Albert J. Sinusas, Donald P. Dione, R. Todd Constable, James S. Duncan:
The Active Elastic Model. IPMI 2001: 36-49 - [c40]Oskar M. Skrinjar, Colin Studholme, Arya Nabavi, James S. Duncan:
Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation. IPMI 2001: 183-189 - [c39]Haili Chui, Lawrence Win, Robert T. Schultz, James S. Duncan, Anand Rangarajan:
A Unified Feature Registration Method for Brain Mapping. IPMI 2001: 300-314 - 2000
- [j29]Mark E. Mattie, Lawrence H. Staib, Eric Stratmann, Hemant D. Tagare, James S. Duncan, Perry L. Miller:
Research Paper: PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction. J. Am. Medical Informatics Assoc. 7(4): 404-415 (2000) - [j28]Nicholas Ayache, James S. Duncan:
Welcome to the first issue of the new millennium. Medical Image Anal. 4(1): 3 (2000) - [j27]James S. Duncan, Nicholas Ayache:
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead. IEEE Trans. Pattern Anal. Mach. Intell. 22(1): 85-106 (2000) - [j26]John C. McEachen II, Arye Nehorai, James S. Duncan:
Multiframe temporal estimation of cardiac nonrigid motion. IEEE Trans. Image Process. 9(4): 651-665 (2000) - [j25]Pengcheng Shi, Albert J. Sinusas, R. Todd Constable, Erik L. Ritman, James S. Duncan:
Point-Tracked Quantitative Analysis of Left Ventricular Surface Motion from 3D Image Sequences. IEEE Trans. Medical Imaging 19(1): 36-50 (2000) - [j24]Colin Studholme, R. Todd Constable, James S. Duncan:
Accurate Alignment of Functional EPI Data to Anatomical MRI Using a Physics Based Distortion Model. IEEE Trans. Medical Imaging 19(11): 1115-1127 (2000) - [c38]Oskar M. Skrinjar, Hemant D. Tagare, James S. Duncan:
Surface Growing from Stereo Images. CVPR 2000: 2571-2576 - [c37]Xenophon Papademetris, Albert J. Sinusas, Donald P. Dione, R. Todd Constable, James S. Duncan:
Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation. MICCAI 2000: 678-686 - [c36]Colin Studholme, R. Todd Constable, James S. Duncan:
Phantom-based investigation of nonrigid registration constraints in mapping fMRI to anatomical MRI. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [j23]Peter N. Belhumeur, James S. Duncan, Gregory D. Hager, Drew V. McDermott, A. Stephen Morse, Steven W. Zucker:
Computational Vision at Yale. Int. J. Comput. Vis. 35(1): 5-12 (1999) - [j22]Pengcheng Shi, Albert J. Sinusas, R. Todd Constable, James S. Duncan:
Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery. Int. J. Comput. Vis. 35(1): 87-107 (1999) - [j21]Baba C. Vemuri, James S. Duncan:
Medical image analysis. Medical Image Anal. 3(4): 407 (1999) - [j20]Anand Rangarajan, Haili Chui, James S. Duncan:
Rigid point feature registration using mutual information. Medical Image Anal. 3(4): 425-440 (1999) - [j19]Amit Chakraborty, James S. Duncan:
Game-Theoretic Integration for Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 21(1): 12-30 (1999) - [j18]Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan:
Segmentation and Measurement of the Cortex from 3D MR Images Using Coupled Surfaces Propagation. IEEE Trans. Medical Imaging 18(10): 927-937 (1999) - [c35]Oskar M. Skrinjar, James S. Duncan:
Real Time 3D Brain Shift Compensation. IPMI 1999: 42-55 - [c34]Haili Chui, James Rambo, James S. Duncan, Robert T. Schultz, Anand Rangarajan:
Registration of Cortical Anatomical Structures via Robust 3D Point Matching. IPMI 1999: 168-181 - [c33]Xenophon Papademetris, Pengcheng Shi, Donald P. Dione, Albert J. Sinusas, R. Todd Constable, James S. Duncan:
Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models. IPMI 1999: 352-357 - [c32]Colin Studholme, R. Todd Constable, James S. Duncan:
Incorporating an Image Distortion Model in Non-rigid Alignment of EPI with Conventional MRI. IPMI 1999: 454-459 - [c31]Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, Hemant D. Tagare, Lawrence Win, James S. Duncan:
A New Approach to 3D Sulcal Ribbon Finding from MR Images. MICCAI 1999: 148-157 - [c30]Xenophon Papademetris, Albert J. Sinusas, Donald P. Dione, James S. Duncan:
3D Cardiac Deformation from Ultrasound Images. MICCAI 1999: 420-429 - [c29]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation. MICCAI 1999: 567-578 - [c28]Oskar M. Skrinjar, James S. Duncan:
Automatic Extraction of Implanted Electrode Grids. MICCAI 1999: 990-997 - 1998
- [c27]Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan:
Volumetric Layer Segmentation Using Coupled Surfaces Propagation. CVPR 1998: 708-715 - [c26]Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz, James S. Duncan:
Segmentation and Measurement of the Cortex from 3D MR Images. MICCAI 1998: 519-530 - [c25]Oskar M. Skrinjar, Dennis D. Spencer, James S. Duncan:
Brain Shift Modeling for Use in Neurosurgery. MICCAI 1998: 641-649 - [c24]Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan:
A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy. MICCAI 1998: 1075-1086 - 1997
- [j17]Wiro J. Niessen, James S. Duncan, Mads Nielsen, Luc Florack, Bart M. ter Haar Romeny, Max A. Viergever:
Multiscale Approach to Image Sequence Analysis. Comput. Vis. Image Underst. 65(2): 259-268 (1997) - [j16]Lawrence H. Staib, Amit Chakraborty, James S. Duncan:
An Integrated Approach for Locating Neuroanatomical Structure from MRI. Int. J. Pattern Recognit. Artif. Intell. 11(8): 1247-1269 (1997) - [j15]Hemant D. Tagare, C. Carl Jaffe, James S. Duncan:
Synthesis of Research: Medical Image Databases: A Content-based Retrieval Approach. J. Am. Medical Informatics Assoc. 4(3): 184-198 (1997) - [j14]Anand Rangarajan, Haili Chui, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan:
A robust point-matching algorithm for autoradiograph alignment. Medical Image Anal. 1(4): 379-398 (1997) - [j13]John C. McEachen II, James S. Duncan:
Shape-Based Tracking of Left Ventricular Wall Motion. IEEE Trans. Medical Imaging 16(3): 270-283 (1997) - [e1]James S. Duncan, Gene Gindi:
Information Processing in Medical Imaging, 15th International Conference, IPMI'97, Poultney, Vermont, USA, June 9-13, 1997, Proceedings. Lecture Notes in Computer Science 1230, Springer 1997, ISBN 3-540-63046-5 [contents] - 1996
- [j12]Marcel Worring, Arnold W. M. Smeulders, Lawrence H. Staib, James S. Duncan:
Parameterized Feasible Boundaries in Gradient Vector Fields. Comput. Vis. Image Underst. 63(1): 135-144 (1996) - [j11]Nicholas Ayache, James S. Duncan:
From the Editors. Medical Image Anal. 1(1): iv (1996) - [j10]François G. Meyer, R. Todd Constable, Albert J. Sinusas, James S. Duncan:
Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach. IEEE Trans. Medical Imaging 15(4): 453-465 (1996) - [j9]Lawrence H. Staib, James S. Duncan:
Model-based deformable surface finding for medical images. IEEE Trans. Medical Imaging 15(5): 720-731 (1996) - [j8]Amit Chakraborty, Lawrence H. Staib, James S. Duncan:
Deformable boundary finding in medical images by integrating gradient and region information. IEEE Trans. Medical Imaging 15(6): 859-870 (1996) - [c23]François G. Meyer, R. Todd Constable, Albert J. Sinusas, James S. Duncan:
Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields. CVPR 1996: 839-844 - [c22]Glynn P. Robinson, Amit Chakraborty, Michael Johnston, M. Lynne Reuss, James S. Duncan:
Segmentation of ovarian follicles using geometric properties, texture descriptions, and boundary information. Medical Imaging: Image Processing 1996 - [c21]Anand Rangarajan, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan:
A Robust Point Matching Algorithm for Autoradiograph Alignment. VBC 1996: 277-286 - 1995
- [j7]Hemant D. Tagare, Frans Vos, Conrade C. Jaffe, James S. Duncan:
Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section. IEEE Trans. Pattern Anal. Mach. Intell. 17(9): 880-893 (1995) - [c20]Pengcheng Shi, Glynn P. Robinson, Amit Chakraborty, Lawrence H. Staib, R. Todd Constable, Albert J. Sinusas, James S. Duncan:
A Unified Framework to Assess Myocardial Function from 4D Images. CVRMed 1995: 327-337 - [c19]John C. McEachen II, François G. Meyer, R. Todd Constable, Arye Nehorai, James S. Duncan:
A Recursive Filter for Phase Velocity Assisted Shape-Based Tracking of Cardiac Non-Rigid Motion. ICCV 1995: 653-658 - [c18]Pengcheng Shi, Glynn P. Robinson, R. Todd Constable, Albert J. Sinusas, James S. Duncan:
A Model-Based Integrated Approach to Track Myocardial Deformation Using Displacement and Velocity Constraints. ICCV 1995: 687- - [c17]Amit Chakraborty, Marcel Worring, James S. Duncan:
On Multi-Feature Integration for Deformable Boundary Finding. ICCV 1995: 846-851 - [c16]John C. McEachen II, Arye Nehorai, James S. Duncan:
Estimating cardiac motion from image sequences using recursive comb filtering. ICIP 1995: 496-499 - 1994
- [j6]H. Isil Bozma, James S. Duncan:
A Game-Theoretic Approach to Integration of Modules. IEEE Trans. Pattern Anal. Mach. Intell. 16(11): 1074-1086 (1994) - [c15]Amit Chakraborty, Lawrence H. Staib, James S. Duncan:
Deformable boundary finding influenced by region homogeneity. CVPR 1994: 624-627 - [c14]Pengcheng Shi, Glynn P. Robinson, James S. Duncan:
Myocardial motion and function assessment using 4D images. VBC 1994 - 1993
- [c13]John C. McEachen II, James S. Duncan:
Shape-based tracking of naturally occurring annuli in image sequences. CVPR 1993: 613-614 - [c12]Marcel Worring, Arnold W. M. Smeulders, Lawrence H. Staib, James S. Duncan:
Parameterized Feasible Boundaries in Gradient Vector Fields. IPMI 1993: 48-61 - [c11]Hemant D. Tagare, Frans Vos, Conrade C. Jaffe, James S. Duncan:
Arrangement: A Spatial Relation Comparing Part Embeddings and its Use in Medical Image Comparisons. IPMI 1993: 132-148 - 1992
- [j5]Amir A. Amini, James S. Duncan:
Bending and stretching models for LV wall motion analysis from curves and surfaces. Image Vis. Comput. 10(6): 418-430 (1992) - [j4]H. Isil Bozma, James S. Duncan:
Modular system for image analysis using a game-theoretic framework. Image Vis. Comput. 10(6): 431-443 (1992) - [j3]James S. Duncan, Thomas Birkhölzer:
Reinforcement of Linear Structure using Parametrized Relaxation Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 14(5): 502-515 (1992) - [j2]Lawrence H. Staib, James S. Duncan:
Boundary Finding with Parametrically Deformable Models. IEEE Trans. Pattern Anal. Mach. Intell. 14(11): 1061-1075 (1992) - [c10]Hemant D. Tagare, Conrade C. Jaffe, James S. Duncan:
Arrangement: a spatial relation for describing and comparing part embeddings. ICPR (1) 1992: 91-94 - [c9]Lawrence H. Staib, James S. Duncan:
Deformable Fourier models for surface finding in 3-D images. VBC 1992 - 1991
- [c8]James S. Duncan, R. L. Owen, Lawrence H. Staib, P. Anandan:
Measurement of non-rigid motion using contour shape descriptors. CVPR 1991: 318-324 - [c7]H. Isil Bozma, James S. Duncan:
Integration of vision modules: a game-theoretic framework. CVPR 1991: 501-507 - [c6]Amir A. Amini, R. L. Owen, P. Anandan, James S. Duncan:
Non-Rigid Motion Models for Tracking the Left Ventricular Wall. IPMI 1991: 343-357 - [c5]H. Isil Bozma, James S. Duncan:
Model-Based Recognition of Multiple Deformable Objects Using a Game-Theoretic Framework. IPMI 1991: 358-372 - [c4]H. Isil Bozma, James S. Duncan:
Noncooperative games for decentralized integration architectures in modular systems. IROS 1991: 1221-1225
1980 – 1989
- 1989
- [j1]James S. Duncan, Werner Frei:
Relaxation labeling using continuous label sets. Pattern Recognit. Lett. 9(1): 27-37 (1989) - [c3]James S. Duncan, Thomas Birkhölzer:
Edge reinforcement using parametrized relaxation labeling. CVPR 1989: 19-27 - [c2]Lawrence H. Staib, James S. Duncan:
Parametrically deformable contour models. CVPR 1989: 98-103 - 1988
- [c1]H. Isil Bozma, James S. Duncan:
Admissibility Of Constraint Functions In Relaxation Labeling. ICCV 1988: 328-332
Coauthor Index
Nicha C. Dvornek
aka: Nicha Chitphakdithai
aka: Nicha Chitphakdithai
[j86] [c199] [i60] [i58] [c189] [c188] [i46] [i45] [c181] [i38] [j72] [c173] [c172] [c165] [i31] [i30] [i28] [i27] [i22] [j67] [j65] [c163] [c161] [c158] [c157] [c155] [c153] [c152] [c151] [i21] [i20] [i19] [i15] [c150] [c149] [c148] [c147] [c145] [c144] [c143] [c142] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [c140] [c139] [c138] [c137] [c134] [c133] [i6] [i3] [i1] [c129] [c115] [c110] [c101] [c97] [c94]
[c172] [i30] [c163] [c151] [i20] [i15] [c138] [j60] [j59] [j58] [j56] [j53] [c118] [c116] [j52] [j50] [j49] [j48] [j47] [c98] [c96] [j46] [c90] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c78] [c77] [c76] [c74] [c72] [c71] [c69] [c68] [c67] [c65] [c56] [c55] [c54] [c51] [c50] [c48] [j32] [j30] [c41] [c37] [c33] [c30]
[j83] [j82] [c201] [c197] [i64] [j80] [j79] [i42] [i41] [j69] [c170] [c167] [c164] [c160] [c154] [j64] [j63] [c135] [i5] [i4] [c131] [c130] [c127] [j60] [j59] [c125] [j58] [j56] [c120] [j55] [c118] [c116] [c111] [c109] [c108] [c106] [c104] [c103] [j49] [j47] [c93] [c90] [c88] [c87] [c85] [c83] [j44] [c81] [c79] [c77] [c75] [c73] [c72] [j43] [c70] [c63] [c61] [c53] [c50] [j32] [j30] [c41] [j25] [c37] [j22] [c33] [c30] [j10] [c23] [c20] [c18]
Lawrence H. Staib
aka: Lawrence Hamilton Staib
aka: Lawrence Hamilton Staib
[j83] [c202] [c201] [c197] [i61] [i58] [c192] [c189] [c187] [c185] [c183] [i55] [i50] [i49] [i45] [i42] [i41] [j75] [c179] [c177] [c176] [c175] [i40] [i37] [i36] [i33] [i32] [j72] [j69] [i26] [i23] [j67] [i21] [c138] [i6] [i4] [c132] [j60] [j59] [j58] [j56] [j54] [j53] [c111] [j52] [j50] [j48] [c98] [c96] [j46] [c86] [c84] [c82] [c80] [c68] [j38] [c60] [c56] [c55] [j35] [j34] [c52] [c48] [c44] [j29] [j18] [c31] [c29] [c27] [c26] [c24] [j16] [j12] [j9] [j8] [c20] [c15] [c12] [j2] [c9] [c8] [c2]
Tanveer F. Syeda-Mahmood
aka: Tanveer Fathima Syeda-Mahmood
aka: Tanveer Fathima Syeda-Mahmood
Shaohua Kevin Zhou
aka: S. Kevin Zhou
aka: S. Kevin Zhou
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