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ORCIDJinman Kim
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- affiliation: University of Sydney, School of Computer Science, Sydney, Australia
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2020 – today
- 2024
[j109]Lei Bi
, Ulrich Buehner, Xiaohang Fu, Tom M. Williamson, Peter Choong, Jinman Kim:
Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images. Comput. Methods Programs Biomed. 243: 107875 (2024)- [j108]Younhyun Jung, Jim Kong, Bin Sheng, Jinman Kim:
A Transfer Function Design for Medical Volume Data Using a Knowledge Database Based on Deep Image and Primitive Intensity Profile Features Retrieval. J. Comput. Sci. Technol. 39(2): 320-335 (2024) - [j107]Ziyi Qi, Tingyao Li, Jun Chen, Jason C. Yam, Yang Wen, Gengyou Huang, Hua Zhong, Mingguang He, Dan Zhu, Rongping Dai, Bo Qian, Jingjing Wang, Chaoxu Qian, Wei Wang, Yanfei Zheng, Jian Zhang, Xianglong Yi, Zheyuan Wang, Bo Zhang, Chunyu Liu, Tianyu Cheng, Xiaokang Yang, Jun Li, Yan-Ting Pan, Xiaohu Ding, Ruilin Xiong, Yan Wang, Yan Zhou, Dagan Feng, Sichen Liu, Linlin Du, Jinliuxing Yang, Zhuoting Zhu, Lei Bi, Jinman Kim, Fangyao Tang, Yuzhou Zhang, Xiujuan Zhang, Haidong Zou, Marcus Ang, Clement C. Tham, Carol Y. Cheung, Chi Pui Pang, Bin Sheng, Xiangui He, Xun Xu:
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. npj Digit. Medicine 7(1) (2024) - [j106]Kristian Stanceski, Sharleen Zhong, Xumou Zhang, Sam Khadra, Marguerite Tracy, Linda Koria, Sarita Lo, Vasi Naganathan, Jinman Kim, Adam G. Dunn, Julie Ayre:
The quality and safety of using generative AI to produce patient-centred discharge instructions. npj Digit. Medicine 7(1) (2024) - [j105]Hao Wang, Euijoon Ahn, Jinman Kim:
A multi-resolution self-supervised learning framework for semantic segmentation in histopathology. Pattern Recognit. 155: 110621 (2024) - [j104]Jiadi Dong, Tianwei Qian, Yuxian Jiang, Lei Bi, Jinman Kim, Lisheng Wang, Xun Xu:
ClarityDiffuseNet: Enhancing fundus image quality under black shadows with diffusion model-based research. Pattern Recognit. Lett. 186: 279-285 (2024) - [j103]Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, David Dagan Feng:
Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation. IEEE Trans. Artif. Intell. 5(9): 4660-4674 (2024) - [j102]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. IEEE Trans. Comput. Soc. Syst. 11(4): 4663-4672 (2024) - [j101]Usman Naseem, Matloob Khushi, Adam G. Dunn, Jinman Kim:
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 28(4): 1886-1895 (2024) - [j100]Ahmad Karambakhsh, Bin Sheng, Ping Li, Huating Li, Jinman Kim, Younhyun Jung, C. L. Philip Chen:
SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks. IEEE Trans. Neural Networks Learn. Syst. 35(1): 532-546 (2024) - [j99]Saleha Masood, Saba Ghazanfar Ali, Xiangning Wang, Afifa Masood, Ping Li, Huating Li, Younhyun Jung, Bin Sheng, Jinman Kim:
Deep choroid layer segmentation using hybrid features extraction from OCT images. Vis. Comput. 40(4): 2775-2792 (2024) - [j98]Mingjian Li, Younhyun Jung, Michael J. Fulham, Jinman Kim:
Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study. Virtual Real. Intell. Hardw. 6(1): 71-81 (2024) - [c112]Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim:
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CVPR 2024: 9645-9654 - [c111]Na Liu, Julian Prester, Jinman Kim:
Patient Adaptation Processes in Remote Monitoring Environments: A Computational Analysis. ICIS 2024 - [c110]Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. MICCAI (7) 2024: 25-34 - [c109]Shuchang Ye, Mingyuan Meng, Mingjian Li, David Dagan Feng, Jinman Kim:
Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. MICCAI (8) 2024: 242-252 - [c108]Boyuan Tan, Yuxin Xue, Lei Bi, Jinman Kim:
Full-TrSUN: A Full-Resolution Transformer UNet for High Quality PET Image Synthesis. MLMI@MICCAI (1) 2024: 238-247 - [c107]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Vaccine Misinformation Detection in X using Cooperative Multimodal Framework. ACM Multimedia 2024: 4034-4042 - [c106]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. WSDM 2024: 529-537 - [e8]Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann:
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14495, Springer 2024, ISBN 978-3-031-50068-8 [contents] - [e7]Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann:
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14496, Springer 2024, ISBN 978-3-031-50071-8 [contents] - [e6]Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann:
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14497, Springer 2024, ISBN 978-3-031-50074-9 [contents] - [e5]Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann:
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14498, Springer 2024, ISBN 978-3-031-50077-0 [contents] - [i55]Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim:
Enhancing medical vision-language contrastive learning via inter-matching relation modelling. CoRR abs/2401.10501 (2024) - [i54]Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim:
Dual-modal Dynamic Traceback Learning for Medical Report Generation. CoRR abs/2401.13267 (2024) - [i53]Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim:
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CoRR abs/2406.00123 (2024) - [i52]Hao Wang, Euijoon Ahn, Jinman Kim:
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement. CoRR abs/2406.13136 (2024) - [i51]Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. CoRR abs/2408.01292 (2024) - [i50]Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim:
SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance. CoRR abs/2409.04758 (2024) - [i49]Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, Jinman Kim:
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. CoRR abs/2409.18701 (2024) - 2023
- [j97]Xiaohang Fu, Ellis Patrick, Jean Y. H. Yang, David Dagan Feng, Jinman Kim:
Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables. Comput. Biol. Medicine 154: 106576 (2023) - [j96]Lei Bi, M. Emre Celebi, Hitoshi Iyatomi, Pablo Fernandez-Penas, Jinman Kim:
Image analysis in advanced skin imaging technology. Comput. Methods Programs Biomed. 238: 107599 (2023) - [j95]Haill An, Jinman Kim, Bin Sheng, Ping Li, Younhyun Jung:
A transfer function optimization using visual saliency for region of interest-based direct volume rendering. Displays 80: 102531 (2023) - [j94]Wei-Chien Wang, Euijoon Ahn, David Feng, Jinman Kim:
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. Mach. Intell. Res. 20(4): 483-513 (2023) - [j93]Tian Xia, Xiaohang Fu, Michael J. Fulham, Yue Wang, David Feng, Jinman Kim:
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations. J. Digit. Imaging 36(6): 2356-2366 (2023) - [j92]Yannik Kalbas, Hoijoon Jung, John Ricklin, Ge Jin, Mingjian Li, Thomas Rauer, Shervin Dehghani, Nassir Navab, Jinman Kim, Hans-Christoph Pape, Sandro-Michael Heining:
Remote Interactive Surgery Platform (RISP): Proof of Concept for an Augmented-Reality-Based Platform for Surgical Telementoring. J. Imaging 9(3): 56 (2023) - [j91]Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann:
Editorial. Comput. Animat. Virtual Worlds 34(1) (2023) - [j90]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Robust Identification of Figurative Language in Personal Health Mentions on Twitter. IEEE Trans. Artif. Intell. 4(2): 362-372 (2023) - [j89]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
RHMD: A Real-World Dataset for Health Mention Classification on Reddit. IEEE Trans. Comput. Soc. Syst. 10(5): 2325-2334 (2023) - [j88]Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim:
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images. IEEE Trans. Cybern. 53(6): 3532-3545 (2023) - [j87]Usman Naseem, Matloob Khushi, Jinman Kim:
Vision-Language Transformer for Interpretable Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 27(4): 1681-1690 (2023) - [j86]Wenxiang Ding, Qiaoqiao Ding, Kewei Chen, Miao Zhang, Li Lv, David Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang:
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging. IEEE Trans. Medical Imaging 42(10): 2842-2852 (2023) - [j85]Abdulrhman H. Al-Jebrni, Saba Ghazanfar Ali, Huating Li, Xiao Lin, Ping Li, Younhyun Jung, Jinman Kim, David Dagan Feng, Bin Sheng, Lixin Jiang, Jing Du:
SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images. Vis. Comput. 39(8): 3675-3689 (2023) - [c105]Ge Jin, Younhyun Jung, Jinman Kim:
Challenges and Constraints in Deformation-Based Medical Mesh Representation. CGI (4) 2023: 146-156 - [c104]Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim:
Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. DICTA 2023: 251-257 - [c103]Lei Bi, Michael J. Fulham, Shaoli Song, David Dagan Feng, Jinman Kim:
Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. EMBC 2023: 1-4 - [c102]Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim:
SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI. EMBC 2023: 1-4 - [c101]Anum Masood, Usman Naseem, Jinman Kim:
Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases. EMBC 2023: 1-4 - [c100]Mingxiao Tu, Hoijoon Jung, Alireza Moghadam, Jineel Raythatha, Jeremy Hsu, Jinman Kim:
Exploring the Performance of Geometry-Based Markerless Registration in a Simulated Surgical Environment: A Comparative Study of Registration Algorithms in Medical Augmented Reality. EMBC 2023: 1-4 - [c99]Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim:
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. EMBC 2023: 1-4 - [c98]Shijia Zhou, Pradeeba Sridar, Narelle June Kennedy, Ann Quinton, Euijoon Ahn, Ralph Nanan, Jinman Kim:
A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm. EMBC 2023: 1-5 - [c97]Ye Cai, Na Liu, Robin Huang, Kamal Sud, Jinman Kim:
Predicting Remote Monitoring Patients' Non-compliance Behavior Through App-mediated Communications. HICSS 2023: 3101-3110 - [c96]Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim:
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. MICCAI (7) 2023: 283-292 - [c95]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim:
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. MICCAI (6) 2023: 400-410 - [c94]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. MICCAI (10) 2023: 750-760 - [c93]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. WSDM 2023: 706-714 - [c92]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. WWW (Companion Volume) 2023: 995-1003 - [i48]Wei-Chien Wang, Euijoon Ahn, Dagan Feng, Jinman Kim:
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. CoRR abs/2302.05043 (2023) - [i47]Hao Wang, Euijoon Ahn, Jinman Kim:
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images. CoRR abs/2303.11019 (2023) - [i46]Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim:
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. CoRR abs/2304.00725 (2023) - [i45]Mingyuan Meng, Bingxin Gu, Michael J. Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim:
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. CoRR abs/2305.09946 (2023) - [i44]Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration. CoRR abs/2307.03421 (2023) - [i43]Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. CoRR abs/2307.03427 (2023) - [i42]Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim:
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR abs/2309.05271 (2023) - [i41]Yuxin Xue, Lei Bi, Yige Peng, Michael J. Fulham, David Dagan Feng, Jinman Kim:
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. CoRR abs/2310.15550 (2023) - [i40]Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim:
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification. CoRR abs/2310.18583 (2023) - [i39]Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim:
Full-resolution MLPs Empower Medical Dense Prediction. CoRR abs/2311.16707 (2023) - 2022
- [j84]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning:
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images. Artif. Intell. Medicine 132: 102374 (2022) - [j83]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. BMC Bioinform. 23(1): 144 (2022) - [j82]Joyce Zhanzi Wang, Jonathon Lillia, Ashnil Kumar, Paula Bray, Jinman Kim, Joshua Burns, Tegan L. Cheng:
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review. BMC Bioinform. 23(1): 431 (2022) - [j81]Saba Ghazanfar Ali, Riaz Ali, Bin Sheng, Yan Chen, Huating Li, Po Yang, Ping Li, Younhyun Jung, Fang Zhu, Ping Lu, Jinman Kim:
Experimental protocol designed to employ Nd: YAG laser surgery for anterior chamber glaucoma detection via UBM. IET Image Process. 16(8): 2171-2179 (2022) - [j80]Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann:
Special issue on computer graphics international 2022 part 1. Comput. Animat. Virtual Worlds 33(5) (2022) - [j79]Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann:
Editorial. Comput. Animat. Virtual Worlds 33(6) (2022) - [j78]Lei Bi, Michael J. Fulham, Jinman Kim:
Hyper-fusion network for semi-automatic segmentation of skin lesions. Medical Image Anal. 76: 102334 (2022) - [j77]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259: 119444 (2022) - [j76]Genevieve Coorey, Gemma A. Figtree, David F. Fletcher, Victoria J. Snelson, Stephen T. Vernon, David S. Winlaw, Stuart M. Grieve, Alistair Lee McEwan, Jean Yee Hwa Yang, Pierre Qian, Kieran O'Brien, Jessica Orchard, Jinman Kim, Sanjay Patel, Julie Redfern:
The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field. npj Digit. Medicine 5 (2022) - [j75]Ke Yan, Xiuying Wang, Jinman Kim, Wangmeng Zuo, Dagan Feng:
Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4776-4792 (2022) - [j74]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. Pattern Recognit. 126: 108576 (2022) - [j73]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Huating Li, Guangtao Xue, Jing Qin, Jinman Kim, David Dagan Feng:
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification. IEEE Trans. Image Process. 31: 880-893 (2022) - [j72]Xiaoya Qiao, Chunjuan Jiang, Panli Li, Yuan Yuan, Qinglong Zeng, Lei Bi, Shaoli Song, Jinman Kim, David Dagan Feng, Qiu Huang:
Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization. IEEE J. Biomed. Health Informatics 26(7): 3261-3271 (2022) - [j71]Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim:
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. IEEE J. Biomed. Health Informatics 26(9): 4497-4507 (2022) - [j70]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. IEEE Trans. Medical Imaging 41(11): 3266-3277 (2022) - [j69]Sofiane Zeghoud, Saba Ghazanfar Ali, Egemen Ertugrul, Aouaidjia Kamel, Bin Sheng, Ping Li, Xiaoyu Chi, Jinman Kim, Lijuan Mao:
Real-time spatial normalization for dynamic gesture classification. Vis. Comput. 38(4): 1345-1357 (2022) - [j68]Nadia Magnenat-Thalmann, Jinman Kim, George Papagiannakis, Daniel Thalmann, Bin Sheng:
Computer graphics for metaverse. Virtual Real. Intell. Hardw. 4(5): ii-iv (2022) - [c91]Hao Wang, Euijoon Ahn, Jinman Kim:
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. AAAI 2022: 2431-2439 - [c90]Mingyuan Meng, Lei Bi, David Feng, Jinman Kim:
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. BrainLes@MICCAI 2022: 273-282 - [c89]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. MICCAI (6) 2022: 88-97 - [c88]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2022: 135-143 - [c87]Hoijoon Jung, Younhyun Jung, Jinman Kim:
Understanding the Capabilities of the HoloLens 1 and 2 in a Mixed Reality Environment for Direct Volume Rendering with a Ray-casting Algorithm. VR Workshops 2022: 698-699 - [c86]Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi:
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. WWW 2022: 2563-2572 - [c85]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. WWW 2022: 2573-2581 - [e4]Nadia Magnenat-Thalmann, Jian Zhang, Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann, Marina L. Gavrilova:
Advances in Computer Graphics - 39th Computer Graphics International Conference, CGI 2022, Virtual Event, September 12-16, 2022, Proceedings. Lecture Notes in Computer Science 13443, Springer 2022, ISBN 978-3-031-23472-9 [contents] - [i38]Hoijoon Jung, Younhyun Jung, Michael J. Fulham, Jinman Kim:
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization. CoRR abs/2201.10704 (2022) - [i37]Usman Naseem, Byoung-Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. CoRR abs/2204.04521 (2022) - [i36]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning. CoRR abs/2206.12596 (2022) - [i35]Younhyun Jung, Jim Kong, Jinman Kim:
A Transfer Function Design Using A Knowledge Database based on Deep Image and Primitive Intensity Profile Features Retrieval. CoRR abs/2209.06421 (2022) - [i34]Yige Peng, Jinman Kim, Dagan Feng, Lei Bi:
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images. CoRR abs/2209.07705 (2022) - [i33]Lei Bi, Xiaohang Fu, Qiufang Liu, Shaoli Song, David Dagan Feng, Michael J. Fulham, Jinman Kim:
Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features. CoRR abs/2210.15808 (2022) - [i32]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. CoRR abs/2211.05409 (2022) - [i31]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision. CoRR abs/2211.07876 (2022) - [i30]Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim:
Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI. CoRR abs/2212.05808 (2022) - 2021
- [j67]Vishal Singh, Pradeeba Sridar, Jinman Kim, Ralph Nanan, N. Poornima, Shanmuga Priya, G. Sameera Reddy, Sathyabama Chandrasekaran, Ramarathnam Krishna Kumar:
Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks. IEEE Access 9: 85864-85873 (2021) - [j66]Ruicong Zhang, Li Zhuo, Hui Zhang, Yan Zhang, Jinman Kim, Hongxia Yin, Pengfei Zhao, Zhenchang Wang:
Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies. Comput. Medical Imaging Graph. 89: 101872 (2021) - [j65]Yuyu Guo, Lei Bi, Zhengbin Zhu, David Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim:
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography. Comput. Medical Imaging Graph. 91: 101952 (2021) - [j64]Lei Bi, Michael J. Fulham, Nan Li, Qiufang Liu, Shaoli Song, David Dagan Feng, Jinman Kim:
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation. Comput. Methods Programs Biomed. 203: 106043 (2021) - [j63]Mingyuan Meng, Xingyu Yang, Lei Bi, Jinman Kim, Shanlin Xiao, Zhiyi Yu:
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. Neurocomputing 441: 92-104 (2021) - [j62]Xinheng Wu, Lei Bi, Michael J. Fulham, David Dagan Feng, Luping Zhou, Jinman Kim:
Unsupervised brain tumor segmentation using a symmetric-driven adversarial network. Neurocomputing 455: 242-254 (2021) - [j61]Yu Zhou, Zhihua Chen, Bin Sheng, Ping Li, Jinman Kim, Enhua Wu:
AFF-Dehazing: Attention-based feature fusion network for low-light image Dehazing. Comput. Animat. Virtual Worlds 32(3-4) (2021) - [j60]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Jinman Kim, Tong-Yee Lee:
Living Donor-Recipient Pair Matching for Liver Transplant via Ternary Tree Representation With Cascade Incremental Learning. IEEE Trans. Biomed. Eng. 68(8): 2540-2551 (2021) - [j59]Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim:
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 8(4): 1003-1015 (2021) - [j58]Ke Yan, Xiuying Wang, Jinman Kim, Dagan Feng:
A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection. IEEE Trans. Cybern. 51(12): 5907-5920 (2021) - [j57]Riaz Ali, Bin Sheng, Ping Li, Yan Chen, Huating Li, Po Yang, Younhyun Jung, Jinman Kim, C. L. Philip Chen:
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening. IEEE Trans. Ind. Informatics 17(4): 2476-2487 (2021) - [j56]Muhammad Nadeem Cheema, Anam Nazir, Po Yang, Bin Sheng, Ping Li, Huating Li, Xiaoer Wei, Jing Qin, Jinman Kim, David Dagan Feng:
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Trans. Ind. Informatics 17(12): 7991-8002 (2021) - [j55]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. IEEE J. Biomed. Health Informatics 25(9): 3507-3516 (2021) - [j54]Aouaidjia Kamel, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng:
Hybrid Refinement-Correction Heatmaps for Human Pose Estimation. IEEE Trans. Multim. 23: 1330-1342 (2021) - [j53]Aouaidjia Kamel, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng:
Efficient Body Motion Quantification and Similarity Evaluation Using 3-D Joints Skeleton Coordinates. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 2774-2788 (2021) - [c84]Yang Wen, Yupeng Xu, Bin Sheng, Ping Li, Lei Bi, Jinman Kim, Xiangui He, Xun Xu:
Multi-Stream Fusion Network for Multi-Distortion Image Super-Resolution. CGI 2021: 242-251 - [c83]Yang Wen, Yupeng Xu, Kun Liu, Bin Sheng, Lei Bi, Jinman Kim, Xiangui He, Xun Xu:
A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention. CGI 2021: 354-361 - [c82]Jihong Wang, Zhen Li, Saba Ghazanfar Ali, Bin Sheng, Ping Li, Xiaoyu Chi, Jinman Kim, Lijuan Mao:
Dynamic Shadow Synthesis Using Silhouette Edge Optimization. CGI 2021: 421-432 - [c81]Zimo Huang, Tian Xia, Jinman Kim, Lefei Zhang, Bo Li:
Combining CNN with Pathological Information for the Detection of Transmissive Lesions of Jawbones from CBCT Images. EMBC 2021: 2972-2975 - [c80]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. IJCNN 2021: 1-8 - [c79]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. IJCNN 2021: 1-7 - [c78]Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim:
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 160-167 - [c77]Euijoon Ahn, Dagan Feng, Jinman Kim:
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. MICCAI (1) 2021: 379-388 - [e3]Nadia Magnenat-Thalmann, Victoria Interrante, Daniel Thalmann, George Papagiannakis, Bin Sheng, Jinman Kim, Marina L. Gavrilova:
Advances in Computer Graphics - 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6-10, 2021, Proceedings. Lecture Notes in Computer Science 13002, Springer 2021, ISBN 978-3-030-89028-5 [contents] - [i29]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT. CoRR abs/2103.03931 (2021) - [i28]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Enhancing Medical Image Registration via Appearance Adjustment Networks. CoRR abs/2103.05213 (2021) - [i27]Bingxin Gu, Mingyuan Meng, Lei Bi, Jinman Kim, David Dagan Feng, Shaoli Song:
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics. CoRR abs/2103.05220 (2021) - [i26]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. CoRR abs/2104.00201 (2021) - [i25]Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. CoRR abs/2104.11416 (2021) - [i24]Kai-Chieh Liang, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation. CoRR abs/2106.04961 (2021) - [i23]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. CoRR abs/2106.09589 (2021) - [i22]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT. CoRR abs/2107.04374 (2021) - [i21]Euijoon Ahn, Dagan Feng, Jinman Kim:
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. CoRR abs/2107.04934 (2021) - [i20]Hao Wang, Euijoon Ahn, Jinman Kim:
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation. CoRR abs/2107.07695 (2021) - [i19]Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim:
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT. CoRR abs/2109.07711 (2021) - [i18]Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim:
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images. CoRR abs/2109.14805 (2021) - 2020
- [j52]Robin Huang, Na Liu, Mary Ann Nicdao, Mary Mikaheal, Tanya Baldacchino, Annabelle Albeos, Kathy Petoumenos, Kamal Sud, Jinman Kim:
Emotion sharing in remote patient monitoring of patients with chronic kidney disease. J. Am. Medical Informatics Assoc. 27(2): 185-193 (2020) - [j51]Lei Bi, David Dagan Feng, Michael J. Fulham, Jinman Kim:
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network. Pattern Recognit. 107: 107502 (2020) - [j50]Anum Masood, Bin Sheng, Po Yang, Ping Li, Huating Li, Jinman Kim, David Dagan Feng:
Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN. IEEE Trans. Ind. Informatics 16(12): 7791-7801 (2020) - [j49]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Huating Li, Ping Li, Po Yang, Younhyun Jung, Jing Qin, Jinman Kim, David Dagan Feng:
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation. IEEE Trans. Image Process. 29: 7192-7202 (2020) - [j48]Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer. IEEE Trans. Medical Imaging 39(1): 204-217 (2020) - [j47]Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. IEEE Trans. Medical Imaging 39(7): 2385-2394 (2020) - [j46]Zhihua Chen, Zhuoliang Hu, Bin Sheng, Ping Li, Jinman Kim, Enhua Wu:
Simplified non-locally dense network for single-image dehazing. Vis. Comput. 36(10): 2189-2200 (2020) - [c76]Zhanpeng Tang, Robin Huang, Na Liu, Jinman Kim:
An Investigation of Social Support Features of Digital Health Applications. ACIS 2020: 65 - [c75]Ping Lu, Fang Zhu, Ping Li, Jinman Kim, Bin Sheng, Lijuan Mao:
Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality. CGI 2020: 24-32 - [c74]Pengsheng Wang, Guangtao Xue, Ping Li, Jinman Kim, Bin Sheng, Lijuan Mao:
GHand: A Graph Convolution Network for 3D Hand Pose Estimation. CGI 2020: 374-381 - [c73]Han Zhang, Riaz Ali, Bin Sheng, Ping Li, Jinman Kim, Jihong Wang:
Preserving Temporal Consistency in Videos Through Adaptive SLIC. CGI 2020: 405-410 - [c72]Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. CVPR 2020: 4725-4734 - [c71]Xinheng Wu, Lei Bi, Michael J. Fulham, Jinman Kim:
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder. ICARCV 2020: 448-453 - [c70]Xiaoshuang Li, Lei Bi, Jinman Kim, Tingyao Li, Peng Li, Ye Tian, Bin Sheng, Dagan Feng:
Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network. MICCAI (3) 2020: 105-114 - [c69]Kaiyi Cao, Lei Bi, Dagan Feng, Jinman Kim:
Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation. MLMIR@MICCAI 2020: 145-152 - [c68]Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. MICCAI (7) 2020: 763-771 - [e2]Nadia Magnenat-Thalmann, Constantine Stephanidis, Enhua Wu, Daniel Thalmann, Bin Sheng, Jinman Kim, George Papagiannakis, Marina L. Gavrilova:
Advances in Computer Graphics - 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20-23, 2020, Proceedings. Lecture Notes in Computer Science 12221, Springer 2020, ISBN 978-3-030-61863-6 [contents] - [i17]Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. CoRR abs/2002.12680 (2020) - [i16]Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search. CoRR abs/2007.06002 (2020) - [i15]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning:
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images. CoRR abs/2007.14625 (2020) - [i14]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. CoRR abs/2007.14728 (2020) - [i13]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. CoRR abs/2009.09223 (2020)
2010 – 2019
- 2019
- [j45]Younhyun Jung, Jinman Kim, Lei Bi, Ashnil Kumar, David Dagan Feng, Michael J. Fulham:
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency. Int. J. Comput. Assist. Radiol. Surg. 14(5): 733-744 (2019) - [j44]Hoijoon Jung, Younhyun Jung, David Dagan Feng, Michael J. Fulham, Jinman Kim:
A web-based multidisciplinary team meeting visualisation system. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2221-2231 (2019) - [j43]Robin Huang, Anthony Nedanoski, David F. Fletcher, Narinder Singh, Jérôme Schmid, Paul M. Young, Nicholas Stow, Lei Bi, Daniela Traini, Eugene Wong, Craig L. Phillips, Ronald R. Grunstein, Jinman Kim:
An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography. Comput. Biol. Medicine 115 (2019) - [j42]Ke Yan, Xiuying Wang, Jinman Kim, Mohamed Khadra, Michael J. Fulham, Dagan Feng:
A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation. Comput. Methods Programs Biomed. 170: 11-21 (2019) - [j41]Yuxi Jin, Ping Li, Bin Sheng, Yongwei Nie, Jinman Kim, Enhua Wu:
SRNPD: Spatial rendering network for pencil drawing stylization. Comput. Animat. Virtual Worlds 30(3-4) (2019) - [j40]Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Anal. 56: 140-151 (2019) - [j39]Michael de Ridder, Karsten Klein, Jean Yee Hwa Yang, Pengyi Yang, Jim Lagopoulos, Ian B. Hickie, Max Bennett, Jinman Kim:
An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity. Neuroinformatics 17(2): 211-223 (2019) - [j38]Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham:
Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognit. 85: 78-89 (2019) - [j37]Muhammad Nadeem Cheema, Anam Nazir, Bin Sheng, Ping Li, Jing Qin, Jinman Kim, David Dagan Feng:
Image-Aligned Dynamic Liver Reconstruction Using Intra-Operative Field of Views for Minimal Invasive Surgery. IEEE Trans. Biomed. Eng. 66(8): 2163-2173 (2019) - [j36]Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns. IEEE Trans. Medical Imaging 38(6): 1477-1487 (2019) - [c67]Sabrina Jaeger, Karsten Klein, Lucas Joos, Johannes Zagermann, Michael de Ridder, Jinman Kim, Jean Yee Hwa Yang, Ulrike Pfeil, Harald Reiterer, Falk Schreiber:
Challenges for Brain Data Analysis in VR Environments. PacificVis 2019: 42-46 - [c66]Lianyi Wu, Yiming Liu, Yelin Shi, Bin Sheng, Ping Li, Lei Bi, Jinman Kim:
Optic Disc and Cup Segmentation Based on Enhanced SegNet. CASA 2019: 33-36 - [c65]Lianyi Wu, Yiming Liu, Yelin Shi, Bin Sheng, Ping Li, Lei Bi, Jinman Kim:
Detect Glaucoma with Image Segmentation and Transfer Learning. CASA 2019: 37-40 - [c64]Yuan Yuan, Bin Sheng, Ping Li, Lei Bi, Jinman Kim, Enhua Wu:
Deep Intrinsic Image Decomposition Using Joint Parallel Learning. CGI 2019: 336-341 - [c63]Yige Peng, Lei Bi, Yuyu Guo, Dagan Feng, Michael J. Fulham, Jinman Kim:
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies. EMBC 2019: 3658-3688 - [c62]Son Phung, Ashnil Kumar, Jinman Kim:
A deep learning technique for imputing missing healthcare data. EMBC 2019: 6513-6516 - [c61]Anum Masood, Bin Sheng, Ping Li, Po Yang, Jinman Kim:
Automatic Computer Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network. INDIN 2019: 1377-1380 - [c60]Ha Tran Hong Phan, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. ISBI 2019: 240-243 - [c59]Lei Bi, Dagan Feng, Michael J. Fulham, Jinman Kim:
Improving Skin Lesion Segmentation via Stacked Adversarial Learning. ISBI 2019: 1100-1103 - [c58]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. ISBI 2019: 1915-1918 - [c57]Yuyu Guo, Lei Bi, Ashnil Kumar, Yue Gao, Ruiyan Zhang, Dagan Feng, Qian Wang, Jinman Kim:
Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images. MICCAI (5) 2019: 539-546 - [i12]Lei Bi, Yuyu Guo, Qian Wang, Dagan Feng, Michael J. Fulham, Jinman Kim:
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks. CoRR abs/1902.04713 (2019) - [i11]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. CoRR abs/1903.06342 (2019) - [i10]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. CoRR abs/1906.03359 (2019) - [i9]Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
Semi-supervised estimation of event temporal length for cell event detection. CoRR abs/1909.09946 (2019) - 2018
- [j35]Michael de Ridder, Karsten Klein, Jinman Kim:
A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging. Brain Informatics 5(2) (2018) - [j34]Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham:
Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis. Comput. Graph. Forum 37(6): 5-19 (2018) - [j33]Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng:
Dense and Sparse Labeling With Multidimensional Features for Saliency Detection. IEEE Trans. Circuits Syst. Video Technol. 28(5): 1130-1143 (2018) - [j32]Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng:
Reversion Correction and Regularized Random Walk Ranking for Saliency Detection. IEEE Trans. Image Process. 27(3): 1311-1322 (2018) - [j31]Lei Bi, Dagan Feng, Jinman Kim:
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation. Vis. Comput. 34(6-8): 1043-1052 (2018) - [c56]Xiaoshuang Li, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng:
Voxelized Facial Reconstruction Using Deep Neural Network. CGI 2018: 1-4 - [c55]Tian Xia, Ashnil Kumar, Dagan Feng, Jinman Kim:
Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning. EMBC 2018: 644-647 - [c54]Michael de Ridder, Karsten Klein, Jinman Kim:
Adapted K-Core Decomposition and Visualization for Functional Magnetic Resonance Imaging Connectivity Networks. EMBC 2018: 4134-4137 - [c53]Ke Yan, Chaojie Zheng, Qiu Huang, Jinman Kim, Dagan Feng, Xiuying Wang:
Prior Knowledge Driven Energy for Saliency Detection. ICARCV 2018: 15-20 - [p1]Tobias Czauderna, Jason Haga, Jinman Kim, Matthias Klapperstück, Karsten Klein, Torsten W. Kuhlen, Steffen Oeltze-Jafra, Björn Sommer, Falk Schreiber:
Immersive Analytics Applications in Life and Health Sciences. Immersive Analytics 2018: 289-330 - [e1]Nadia Magnenat-Thalmann, Jinman Kim, Holly E. Rushmeier, Bruno Lévy, Hao (Richard) Zhang, Daniel Thalmann:
Proceedings of Computer Graphics International 2018, CGI 2018, Bintan Island, Indonesia, June 11-14, 2018. ACM 2018 [contents] - [i8]Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. CoRR abs/1807.05648 (2018) - [i7]Lei Bi, Dagan Feng, Jinman Kim:
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation. CoRR abs/1807.08392 (2018) - [i6]Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer. CoRR abs/1810.02492 (2018) - 2017
- [j30]Lei Bi, Jinman Kim, Ashnil Kumar, Lingfeng Wen, Dagan Feng, Michael J. Fulham:
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. Comput. Medical Imaging Graph. 60: 3-10 (2017) - [j29]Yesool Cha, Jinman Kim, Byoung-Ha Park, Young-Choong Park, Seong-Dong Kim:
Development of an ICT Car Service Applying a Human-Centered Design. KSII Trans. Internet Inf. Syst. 11(6): 3071-3085 (2017) - [j28]Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. IEEE Trans. Biomed. Eng. 64(9): 2065-2074 (2017) - [j27]Ashnil Kumar, Jinman Kim, David Lyndon, Michael J. Fulham, David Dagan Feng:
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification. IEEE J. Biomed. Health Informatics 21(1): 31-40 (2017) - [j26]Younhyun Jung, Jinman Kim, Dagan Feng, Michael J. Fulham:
Occlusion and Slice-Based Volume Rendering Augmentation for PET-CT. IEEE J. Biomed. Health Informatics 21(4): 1005-1014 (2017) - [j25]Pradeeba Sridar, Ashnil Kumar, Changyang Li, Joyce Woo, Ann Quinton, Ron Benzie, Michael J. Peek, Dagan Feng, R. Krishna Kumar, Ralph Nanan, Jinman Kim:
Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets. IEEE J. Biomed. Health Informatics 21(4): 1069-1078 (2017) - [j24]Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael J. Fulham, David Dagan Feng:
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE J. Biomed. Health Informatics 21(6): 1685-1693 (2017) - [j23]Lei Bi, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation. Vis. Comput. 33(6-8): 1061-1071 (2017) - [j22]Takayuki Itoh, Ashnil Kumar, Karsten Klein, Jinman Kim:
High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots. J. Vis. Lang. Comput. 43: 1-13 (2017) - [c52]Michael de Ridder, Karsten Klein, Jinman Kim:
Temporaltracks: visual analytics for exploration of 4D fMRI time-series coactivation. CGI 2017: 13:1-13:6 - [c51]David Lyndon, Ashnil Kumar, Jinman Kim:
Neural Captioning for the ImageCLEF 2017 Medical Image Challenges. CLEF (Working Notes) 2017 - [c50]Jae Hyun Han, Jinman Kim, Eui Chul Lee:
Single-Camera Vision-Based Vein Biometric Authentication and Heart Rate Monitoring via Infrared Imaging Analysis. CSA/CUTE 2017: 1307-1313 - [c49]Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham:
Semi-automatic skin lesion segmentation via fully convolutional networks. ISBI 2017: 561-564 - [c48]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, Dagan Feng, Guang Ning:
Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration. ISBI 2017: 895-898 - [c47]Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham:
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). CMMI/RAMBO/SWITCH@MICCAI 2017: 43-51 - [i5]Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng:
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks. CoRR abs/1703.04197 (2017) - [i4]Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng:
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks. CoRR abs/1704.02703 (2017) - [i3]Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham:
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). CoRR abs/1707.09747 (2017) - [i2]Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
An unsupervised long short-term memory neural network for event detection in cell videos. CoRR abs/1709.02081 (2017) - 2016
- [j21]Yuchen Yuan, Yi Shi, Changyang Li, Jinman Kim, Weidong Cai, Zeguang Han, David Dagan Feng:
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations. BMC Bioinform. 17(S-17): 243-256 (2016) - [j20]Ashnil Kumar, Shane Dyer, Jinman Kim, Changyang Li, Philip Heng Wai Leong, Michael J. Fulham, Dagan Feng:
Adapting content-based image retrieval techniques for the semantic annotation of medical images. Comput. Medical Imaging Graph. 49: 37-45 (2016) - [j19]Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham:
Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram. Comput. Medical Imaging Graph. 51: 40-49 (2016) - [c46]Younhyun Jung, Jinman Kim, Ashnil Kumar, Michael J. Fulham, David Feng:
An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling. CGI (Short Papers) 2016: 73-76 - [c45]Younhyun Jung, Jinman Kim:
Multi-Modal Image Processing and Visualization: Application to PET-CT. CGI (Short Papers) 2016: 109-112 - [c44]Ashnil Kumar, David Lyndon, Jinman Kim, David Feng:
Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network. CLEF (Working Notes) 2016: 318-321 - [c43]Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Dagan Feng, Mohamed Khadra, Jinman Kim:
Automatic prostate segmentation on MR images with deep network and graph model. EMBC 2016: 635-638 - [c42]Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Jinman Kim, Dagan Feng:
Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder. ICIP 2016: 2767-2771 - [c41]Ashnil Kumar, Pradeeba Sridar, Ann Quinton, Ramarathnam Krishna Kumar, Dagan Feng, Ralph Nanan, Jinman Kim:
Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks. ISBI 2016: 791-794 - [c40]Euijoon Ahn, Ashnil Kumar, Jinman Kim, ChangYang Li, Dagan Feng, Michael J. Fulham:
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. ISBI 2016: 855-858 - [c39]Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham:
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. ISBI 2016: 1055-1058 - [c38]Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham:
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. ISBI 2016: 1059-1062 - [c37]Ke Yan, ChangYang Li, Xiuying Wang, Yuchen Yuan, Ang Li, Jinman Kim, Biao Li, Dagan Feng:
Comprehensive autoencoder for prostate recognition on MR images. ISBI 2016: 1190-1194 - [c36]Ha Tran Hong Phan, Ashnil Kumar, Jinman Kim, Dagan Feng:
Transfer learning of a convolutional neural network for HEp-2 cell image classification. ISBI 2016: 1208-1211 - [c35]Robin Huang, Ang Li, Lei Bi, Changyang Li, Paul M. Young, Gregory King, David Dagan Feng, Jinman Kim:
A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography. ISBI 2016: 1334-1337 - [i1]Takayuki Itoh, Ashnil Kumar, Karsten Klein, Jinman Kim:
High-Dimensional Data Visualization by Interactive Construction of Low-Dimensional Parallel Coordinate Plots. CoRR abs/1609.05268 (2016) - 2015
- [j18]David Dagan Feng, Jinman Kim, Mohamed Khadra, Donna L. Hudson, Christian Roux:
Guest-Editorial - Telehealth Systems and Applications. IEEE J. Biomed. Health Informatics 19(1): 81 (2015) - [j17]Ashnil Kumar, Falk Nette, Karsten Klein, Michael J. Fulham, Jinman Kim:
A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval. IEEE J. Biomed. Health Informatics 19(5): 1734-1746 (2015) - [c34]Michael de Ridder, Younhyun Jung, Robin Huang, Jinman Kim, David Dagan Feng:
Exploration of Virtual and Augmented Reality for Visual Analytics and 3D Volume Rendering of Functional Magnetic Resonance Imaging (fMRI) Data. BDVA 2015: 49-56 - [c33]David Lyndon, Ashnil Kumar, Jinman Kim, Philip Heng Wai Leong, Dagan Feng:
Convolutional Neural Networks for Medical Clustering. CLEF (Working Notes) 2015 - [c32]David Lyndon, Ashnil Kumar, Jinman Kim, Philip Heng Wai Leong, Dagan Feng:
Convolutional Neural Networks for Subfigure Classification. CLEF (Working Notes) 2015 - [c31]Robin Huang, Lei Bi, ChangYang Li, Younhyun Jung, Jinman Kim, Michael J. Fulham, David Dagan Feng:
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. DICTA 2015: 1-7 - [c30]Euijoon Ahn, Lei Bi, Younhyun Jung, Jinman Kim, Changyang Li, Michael J. Fulham, David Dagan Feng:
Automated saliency-based lesion segmentation in dermoscopic images. EMBC 2015: 3009-3012 - [c29]Michael de Ridder, Karsten Klein, Jinman Kim:
CereVA - Visual Analysis of Functional Brain Connectivity. IVAPP 2015: 131-138 - [c28]Lei Bi, Jinman Kim, Lingfeng Wen, David Dagan Feng, Michael J. Fulham:
Automated thresholded region classification using a robust feature selection method for PET-CT. ISBI 2015: 1435-1438 - 2014
- [j16]Ashnil Kumar, Jinman Kim, Lingfeng Wen, Michael J. Fulham, Dagan Feng:
A graph-based approach for the retrieval of multi-modality medical images. Medical Image Anal. 18(2): 330-342 (2014) - [j15]Jinman Kim, Daniel Thalmann, Kun Zhou, Dagan Feng, Holly E. Rushmeier:
Editorial. Vis. Comput. 30(6-8): 565-567 (2014) - [c27]Ashnil Kumar, Shane Dyer, Changyang Li, Philip Heng Wai Leong, Jinman Kim:
Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014. CLEF (Working Notes) 2014: 428-437 - [c26]Ashnil Kumar, Jinman Kim, Michael J. Fulham, David Dagan Feng:
Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images. ED/GViP@Diagrams 2014: 63-72 - [c25]Mohib A. Shah, Jinman Kim, Mohamed H. Khadra, Dagan Feng:
Home area network for optimizing telehealth services- empirical simulation analysis. EMBC 2014: 1370-1373 - [c24]Ashnil Kumar, Jinman Kim, Michael J. Fulham, Dagan Feng:
Efficient PET-CT image retrieval using graphs embedded into a vector space. EMBC 2014: 1901-1904 - [c23]Lei Bi, Jinman Kim, David Dagan Feng, Michael J. Fulham:
Classification of thresholded regions based on selective use of PET, CT and PET-CT image features. EMBC 2014: 1913-1916 - [c22]Younhyun Jung, Jinman Kim, Michael J. Fulham, David Dagan Feng:
Opacity-driven volume clipping for slice of interest (SOI) visualisation of multi-modality PET-CT volumes. EMBC 2014: 6714-6717 - [c21]Lei Bi, Jinman Kim, David Dagan Feng, Michael J. Fulham:
Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies. MICCAI (1) 2014: 569-576 - 2013
- [j14]Ashnil Kumar, Jinman Kim, Lei Bi, Michael J. Fulham, Dagan Feng:
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images. Int. J. Comput. Assist. Radiol. Surg. 8(6): 1003-1014 (2013) - [j13]Liviu Constantinescu, Jinman Kim, Ashnil Kumar, Daiki Haraguchi, Lingfeng Wen, Dagan Feng:
A patient-centric distribution architecture for medical image sharing. Health Inf. Sci. Syst. 1(1): 3 (2013) - [j12]Ashnil Kumar, Jinman Kim, Weidong Cai, Michael J. Fulham, Dagan Feng:
Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data. J. Digit. Imaging 26(6): 1025-1039 (2013) - [j11]Younhyun Jung, Jinman Kim, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Visibility-driven PET-CT visualisation with region of interest (ROI) segmentation. Vis. Comput. 29(6-8): 805-815 (2013) - [c20]Michael de Ridder, Liviu Constantinescu, Lei Bi, Younhyun Jung, Ashnil Kumar, Jinman Kim, David Dagan Feng, Michael J. Fulham:
A web-based medical multimedia visualisation interface for personal health records. CBMS 2013: 191-196 - [c19]Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham:
Graph-based retrieval of PET-CT images using vector space embedding. CBMS 2013: 413-416 - [c18]Michael de Ridder, Lei Bi, Liviu Constantinescu, Jinman Kim, David Dagan Feng:
Data processing and presentation for a personalised, image-driven medical graphical avatar. EMBC 2013: 4183-4186 - [c17]Lei Bi, Jinman Kim, Lingfeng Wen, Ashnil Kumar, Michael J. Fulham, David Dagan Feng:
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography. EMBC 2013: 5453-5456 - [c16]Mohib A. Shah, Jinman Kim, Dagan Feng:
Impact of wireless devices over real-time applications: An empirical test-bed analysis. LCN Workshops 2013: 882-889 - 2012
- [j10]Liviu Constantinescu, Jinman Kim, David Dagan Feng:
SparkMed: A Framework for Dynamic Integration of Multimedia Medical Data Into Distributed m-Health Systems. IEEE Trans. Inf. Technol. Biomed. 16(1): 40-52 (2012) - [j9]Yang Song, Weidong Cai, Jinman Kim, David Dagan Feng:
A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images. IEEE Trans. Medical Imaging 31(5): 1061-1075 (2012) - [c15]Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham:
Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images. CBMS 2012: 1-6 - [c14]Lei Bi, Jinman Kim, Lingfeng Wen, David Dagan Feng:
Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding. DICTA 2012: 1-6 - [c13]Younhyun Jung, Jinman Kim, David Dagan Feng:
Dual-modal visibility metrics for interactive PET-CT visualization. EMBC 2012: 2696-2699 - [c12]Lei Bi, Jinman Kim, Lingfeng Wen, David Dagan Feng:
Automated and Robust PERCIST-based Thresholding framework for whole body PET-CT studies. EMBC 2012: 5335-5338 - [c11]Ashnil Kumar, Jinman Kim, Lingfeng Wen, Dagan Feng:
A Graph-based approach to the retrieval of volumetric PET-CT lung images. EMBC 2012: 5408-5411 - [c10]Goodal Nyirenda, Jinman Kim, Lingfeng Wen, David Dagan Feng:
Automated segmentation of tumour changes in temporal PET-CT data. ISBI 2012: 1699-1702 - 2011
- [j8]Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann:
Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures. Int. J. Comput. Assist. Radiol. Surg. 6(1): 47-57 (2011) - [j7]Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann:
Robust statistical shape models for MRI bone segmentation in presence of small field of view. Medical Image Anal. 15(1): 155-168 (2011) - [c9]Daiki Haraguchi, Jinman Kim, Ashnil Kumar, Liviu Constantinescu, Lingfeng Wen, David Dagan Feng:
A web-based image viewer for multiple PET-CT follow-up studies. EMBC 2011: 5279-5282 - 2010
- [j6]Seunghyun Han, Niels A. Nijdam, Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann:
Collaborative telemedicine for interactive multiuser segmentation of volumetric medical images. Vis. Comput. 26(6-8): 639-648 (2010) - [c8]Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann:
Coupled Registration-Segmentation: Application to Femur Analysis with Intra-subject Multiple Levels of Detail MRI Data. MICCAI (2) 2010: 562-569
2000 – 2009
- 2009
- [j5]Jinman Kim, Weidong Cai, David Dagan Feng:
Bridging the Feature Gaps for Retrieval of Multi-Dimensional Images. Int. J. Heal. Inf. Syst. Informatics 4(1): 34-46 (2009) - [c7]Jérôme Schmid, Niels A. Nijdam, Seunghyun Han, Jinman Kim, Nadia Magnenat-Thalmann:
Interactive Segmentation of Volumetric Medical Images for Collaborative Telemedicine. 3DPH 2009: 13-24 - 2007
- [j4]Jinman Kim, Stefan Eberl, David Dagan Feng:
Visualizing Dual-Modality Rendered Volumes Using a Dual-Lookup Table Transfer Function. Comput. Sci. Eng. 9(1): 20-25 (2007) - [j3]Jinman Kim, Weidong Cai, Stefan Eberl, David Dagan Feng:
Real-Time Volume Rendering Visualization of Dual-Modality PET/CT Images With Interactive Fuzzy Thresholding Segmentation. IEEE Trans. Inf. Technol. Biomed. 11(2): 161-169 (2007) - 2006
- [j2]Jinman Kim, Weidong Cai, David Dagan Feng, Hao Wu:
A New Way for Multidimensional Medical Data Management: Volume of Interest (VOI)-Based Retrieval of Medical Images With Visual and Functional Features. IEEE Trans. Inf. Technol. Biomed. 10(3): 598-607 (2006) - [j1]Jinman Kim, Weidong Cai, David Dagan Feng, Stefan Eberl:
Segmentation of VOI From Multidimensional Dynamic PET Images by Integrating Spatial and Temporal Features. IEEE Trans. Inf. Technol. Biomed. 10(4): 637-646 (2006) - [c6]Hugh Macready, Jinman Kim, David Feng, Weidong Cai:
Interactive dual-volume rendering visualization with real-time fusion and transfer function enhancement. Image-Guided Procedures 2006: 61412P - 2002
- [c5]Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl:
Content access and distribution of multimedia medical data in E-health. ICME (2) 2002: 341-344 - 2001
- [c4]Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl:
Integrated Multimedia Medical Data Agent in E-Health. VIP 2001: 11-15 - [c3]Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl:
A Solution to the Distribution and Standarization of Multimedia Medical Data in E-Health. VIP 2001: 161-164 - 2000
- [c2]Jinman Kim, David Dagan Feng, Tom Weidong Cai:
A Web Based Medical Image Data Processing and Management System. VIP 2000: 89-91
1990 – 1999
- 1995
- [c1]Ralph Martinez, Yasser H. Alsafadi, Jinman Kim:
Design of multimedia global PACS distributed computing environment. HICSS (3) 1995: 461-469
Coauthor Index
[j109] [j107] [j104] [c112] [c110] [c108] [e8] [e7] [e6] [e5] [i55] [i53] [i51] [i49] [j96] [j88] [j86] [c103] [c99] [c95] [c94] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [j84] [j78] [j77] [j74] [j72] [j71] [j70] [c90] [c89] [c88] [i36] [i34] [i33] [i32] [i31] [j65] [j64] [j63] [j62] [j55] [c84] [c83] [c78] [i29] [i28] [i27] [i26] [i25] [i24] [i19] [i18] [j51] [c72] [c71] [c70] [c69] [c68] [i17] [i16] [i15] [i14] [j45] [j43] [j38] [c66] [c65] [c64] [c63] [c59] [c57] [i12] [j31] [i7] [j30] [j28] [j24] [j23] [c49] [c48] [c47] [i5] [i4] [i3] [c39] [c38] [c35] [c31] [c30] [c28] [c23] [c21] [j14] [c20] [c18] [c17] [c14] [c12]
[j107] [j103] [c112] [c110] [c109] [i55] [i54] [i53] [i51] [i50] [i49] [j97] [j94] [j93] [j88] [j86] [j85] [c104] [c103] [c102] [c99] [c95] [c94] [i48] [i46] [i45] [i44] [i43] [i42] [i41] [i39] [j84] [j77] [j75] [j73] [j72] [j71] [c90] [c89] [c88] [i36] [i34] [i33] [i32] [i31] [i30] [j65] [j64] [j62] [j58] [j56] [j54] [j53] [c77] [i28] [i27] [i25] [i21] [i19] [i18] [j51] [j50] [j49] [j48] [j47] [c72] [c70] [c69] [c68] [i17] [i16] [i15] [j45] [j44] [j42] [j40] [j38] [j37] [j36] [c63] [c60] [c59] [c58] [c57] [i12] [i11] [i10] [i9] [j34] [j33] [j32] [j31] [c56] [c55] [c53] [i8] [i7] [i6] [j30] [j28] [j27] [j26] [j25] [j24] [j23] [c49] [c48] [c47] [i5] [i4] [i3] [i2] [j21] [j20] [j19] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [j18] [c34] [c33] [c32] [c31] [c30] [c28] [j16] [j15] [c26] [c25] [c24] [c23] [c22] [c21] [j14] [j13] [j12] [j11] [c20] [c19] [c18] [c17] [c16] [j10] [j9] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j5] [j4] [j3] [j2] [j1] [c6] [c5] [c4] [c3] [c2]
[j98] [i55] [j93] [c103] [c95] [c94] [i45] [i44] [i43] [i42] [i41] [j84] [j78] [j77] [j74] [j70] [i38] [i33] [j64] [j62] [j55] [i29] [i28] [i26] [i25] [i24] [j51] [j48] [j47] [c71] [c68] [i16] [i15] [i14] [j45] [j44] [j42] [j40] [j38] [j36] [c63] [c60] [c59] [c58] [i12] [i11] [i10] [i9] [j34] [i8] [i6] [j30] [j28] [j27] [j26] [j24] [j23] [c49] [c48] [c47] [i3] [i2] [j20] [j19] [c46] [c40] [c39] [c38] [j17] [c31] [c30] [c28] [j16] [c26] [c24] [c23] [c22] [c21] [j14] [j12] [j11] [c20] [c19] [c17] [c15]
[j82] [j74] [j70] [j55] [i29] [i26] [i25] [i24] [j48] [j47] [i14] [j45] [j40] [j38] [j36] [c62] [c60] [c58] [c57] [i11] [i10] [i9] [j34] [c55] [i8] [i6] [j30] [j28] [j27] [j25] [j24] [j23] [j22] [c51] [c47] [i4] [i3] [i2] [j20] [j19] [c46] [c44] [c41] [c40] [c36] [i1] [j17] [c33] [c32] [j16] [c27] [c26] [c24] [j14] [j13] [j12] [c20] [c19] [c17] [c15] [c11] [c9]
ChangYang Li
aka: Changyang Li
aka: Changyang Li
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