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2020 – today
- 2023
[c38]Youngjin Yoo, Gengyan Zhao, Andreea Sandu, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu:
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation. Medical Imaging: Computer-Aided Diagnosis 2023- [c37]Gengyan Zhao, Youngjin Yoo, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu:
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation. Medical Imaging: Image Processing 2023 - 2021
- [j16]Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath
, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu:
Quantifying and leveraging predictive uncertainty for medical image assessment. Medical Image Anal. 68: 101855 (2021) - [j15]Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu:
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks. IEEE Trans. Medical Imaging 40(1): 335-345 (2021) - [c36]Nguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, Jyotipriya Das, Abishek Balachandran, Yvonne W. Lui, Pina C. Sanelli, Thomas J. Schroeppel, Uttam Bodanapally, Savvas Nicolaou, Tommi A. White, Filiz Bunyak, Dorin Comaniciu, Eli Gibson:
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. ICCVW 2021: 487-495 - 2020
- [i14]Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu:
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks. CoRR abs/2003.03824 (2020) - [i13]Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu:
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. CoRR abs/2003.07999 (2020) - [i12]Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu:
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment. CoRR abs/2007.04258 (2020)
2010 – 2019
- 2019
- [j14]Nooshin Ghavami, Yipeng Hu, Eli Gibson, Ester Bonmati, Mark Emberton, Caroline M. Moore, Dean C. Barratt:
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration. Medical Image Anal. 58 (2019) - [c35]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis In CT Images. ISBI 2019: 1348-1352 - [c34]Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren:
Conditional Segmentation in Lieu of Image Registration. MICCAI (2) 2019: 401-409 - [c33]Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu:
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) 2019: 676-684 - [i11]Sebastian Gündel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu:
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. CoRR abs/1905.06362 (2019) - [i10]Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu:
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. CoRR abs/1906.07775 (2019) - [i9]Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren:
Conditional Segmentation in Lieu of Image Registration. CoRR abs/1907.00438 (2019) - 2018
- [j13]Ester Bonmati, Yipeng Hu, Eli Gibson, Laura Uribarri, Geri Keane, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt:
Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures. Int. J. Comput. Assist. Radiol. Surg. 13(6): 875-883 (2018) - [j12]Weifu Chen, Mingquan Lin, Eli Gibson, Matthew Bastian-Jordan, Derek W. Cool, Zahra Kassam, Huageng Liang, Guocan Feng, Aaron D. Ward, Bernard Chiu:
A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging. Comput. Biol. Medicine 96: 252-265 (2018) - [j11]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. 158: 113-122 (2018) - [j10]John S. H. Baxter, Eli Gibson, Roy Eagleson, Terry M. Peters:
The semiotics of medical image Segmentation. Medical Image Anal. 44: 54-71 (2018) - [j9]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Anal. 49: 1-13 (2018) - [j8]Layan Nahlawi, Caroline Goncalves, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron D. Ward, Purang Abolmaesumi, Hagit Shatkay, Parvin Mousavi:
Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization. IEEE Trans. Biomed. Eng. 65(8): 1798-1809 (2018) - [j7]Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt:
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks. IEEE Trans. Medical Imaging 37(8): 1822-1834 (2018) - [c32]Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Label-driven weakly-supervised learning for multimodal deformarle image registration. ISBI 2018: 1070-1074 - [c31]Ryan Alfano, D. Soetemans, Glenn S. Bauman, Eli Gibson, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward:
Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI. Medical Imaging: Computer-Aided Diagnosis 2018: 1057515 - [c30]Eli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Henkjan J. Huisman, Dean C. Barratt:
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. MICCAI (4) 2018: 506-514 - [c29]Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt:
Adversarial Deformation Regularization for Training Image Registration Neural Networks. MICCAI (1) 2018: 774-782 - [c28]Nooshin Ghavami, Yipeng Hu, Ester Bonmati, Rachael Rodell, Eli Gibson, Caroline M. Moore, Dean C. Barratt:
Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks. Medical Imaging: Image-Guided Procedures 2018: 1057603 - [i8]Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt:
Adversarial Deformation Regularization for Training Image Registration Neural Networks. CoRR abs/1805.10665 (2018) - [i7]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration. CoRR abs/1807.03361 (2018) - [i6]Siqi Liu, Eli Gibson, Sasa Grbic, Zhoubing Xu, Arnaud Arindra Adiyoso Setio, Jie Yang, Bogdan Georgescu, Dorin Comaniciu:
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. CoRR abs/1812.01737 (2018) - [i5]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis in CT Images. CoRR abs/1812.11204 (2018) - 2017
- [j6]Eli Gibson, Yipeng Hu, Henkjan J. Huisman, Dean C. Barratt:
Designing image segmentation studies: Statistical power, sample size and reference standard quality. Medical Image Anal. 42: 44-59 (2017) - [c27]Weifu Chen, Bernard Chiu, Eli Gibson, Matthew Bastian-Jordan, Derek Cool, Zahra Kassam, Huageng Liang, Aaron D. Ward, Qi Shen, Guocan Feng:
A Graph-Based Multi-kernel Feature Weight Learning Framework for Detection and Grading of Prostate Lesions Using Multi-parametric MR Images. ACPR 2017: 658-663 - [c26]Mingquan Lin, Weifu Chen, Mingbo Zhao, Eli Gibson, Matthew Bastian-Jordan, Derek W. Cool, Zahra Kassam, Tommy W. S. Chow, Aaron D. Ward, Bernard Chiu:
Prostate lesion detection and localization based on locality alignment discriminant analysis. Medical Imaging: Computer-Aided Diagnosis 2017: 101344A - [c25]Yipeng Hu, Eli Gibson, Li-Lin Lee, Weidi Xie, Dean C. Barratt, Tom Vercauteren, J. Alison Noble:
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks. CMMI/RAMBO/SWITCH@MICCAI 2017: 105-115 - [c24]Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim Uddin Ahmed, Mark Emberton, Caroline M. Moore, J. Alison Noble, Dean C. Barratt:
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. MICCAI (2) 2017: 368-376 - [c23]Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt:
Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks. MICCAI (1) 2017: 728-736 - [c22]Eli Gibson, Maria R. Robu, Stephen A. Thompson, Eddie Edwards, Crispin Schneider, Kurinchi Gurusamy, Brian R. Davidson, David J. Hawkes, Dean C. Barratt, Matthew J. Clarkson:
Deep residual networks for automatic segmentation of laparoscopic videos of the liver. Medical Imaging: Image-Guided Procedures 2017: 101351M - [c21]Layan Nahlawi, Caroline Goncalves, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron D. Ward, Purang Abolmaesumi, Parvin Mousavi, Hagit Shatkay:
Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order. Medical Imaging: Image-Guided Procedures 2017: 101351D - [i4]Yipeng Hu, Eli Gibson, Li-Lin Lee, Weidi Xie, Dean C. Barratt, Tom Vercauteren, J. Alison Noble:
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks. CoRR abs/1707.05392 (2017) - [i3]Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim Uddin Ahmed, Mark Emberton, Caroline M. Moore, J. Alison Noble, Dean C. Barratt:
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. CoRR abs/1709.02255 (2017) - [i2]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. CoRR abs/1709.03485 (2017) - [i1]Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Label-driven weakly-supervised learning for multimodal deformable image registration. CoRR abs/1711.01666 (2017) - 2016
- [c20]Farhad Imani, Sahar Ghavidel, Purang Abolmaesumi, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Derek W. Cool, Matthew Bastian-Jordan, Zahra Kassam, D. Robert Siemens, Michael Leveridge, Silvia D. Chang, Aaron Fenster, Aaron D. Ward, Parvin Mousavi:
Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study. Medical Imaging: Computer-Aided Diagnosis 2016: 97851K - [c19]Yipeng Hu, Ester Bonmati, Eli Gibson, John H. Hipwell, David J. Hawkes, Steven Bandula, Stephen P. Pereira, Dean C. Barratt:
2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions. MICCAI (1) 2016: 516-524 - [c18]Layan Nahlawi, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron D. Ward, Purang Abolmaesumi, Hagit Shatkay, Parvin Mousavi:
Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data. MICCAI (1) 2016: 644-652 - [c17]Sahar Ghavidel, Farhad Imani, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, D. Robert Siemens, Michael Leveridge, Silvia D. Chang, Aaron Fenster, Aaron D. Ward, Purang Abolmaesumi, Parvin Mousavi:
Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study. Medical Imaging: Image-Guided Procedures 2016: 97860K - [c16]Eli Gibson, Ian A. Donaldson, Taimur T. Shah, Yipeng Hu, Hashim Uddin Ahmed, Dean C. Barratt:
Impact of region contouring variability on image-based focal therapy evaluation. Medical Imaging: Image-Guided Procedures 2016: 97861K - [c15]Peter R. Martin, Mena Gaed, José A. Gómez, Madeleine Moussa, Eli Gibson, Derek W. Cool, Joseph L. Chin, Stephen E. Pautler, Aaron Fenster, Aaron D. Ward:
How does prostate biopsy guidance error impact pathologic cancer risk assessment? Medical Imaging: Image-Guided Procedures 2016: 97861J - 2015
- [j5]Yipeng Hu, Eli Gibson, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Dean C. Barratt:
Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration. Medical Image Anal. 26(1): 332-344 (2015) - [j4]Farhad Imani, Mahdi Ramezani, Saman Nouranian, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Michael Leveridge, Silvia D. Chang, Aaron Fenster, Robert Siemens, Aaron D. Ward, Parvin Mousavi, Purang Abolmaesumi:
Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis. IEEE Trans. Biomed. Eng. 62(7): 1796-1804 (2015) - [j3]Farhad Imani, Purang Abolmaesumi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Michael Leveridge, Silvia D. Chang, Robert Siemens, Aaron Fenster, Aaron D. Ward, Parvin Mousavi:
Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study. IEEE Trans. Medical Imaging 34(11): 2248-2257 (2015) - [c14]Layan Nahlawi, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron D. Ward, Purang Abolmaesumi, Parvin Mousavi, Hagit Shatkay:
Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer. BIBM 2015: 446-449 - [c13]Eli Gibson, Henkjan J. Huisman, Dean C. Barratt:
Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality. MICCAI (3) 2015: 105-113 - 2014
- [c12]Eli Gibson, Mena Gaed, W. Thomas Hrinivich, José A. Gómez, Madeleine Moussa, Cesare Romagnoli, Jonathan Mandel, Matthew Bastian-Jordan, Derek W. Cool, Suha Ghoul, Stephen E. Pautler, Joseph L. Chin, Cathie Crukley, Glenn S. Bauman, Aaron Fenster, Aaron D. Ward:
Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts. Medical Imaging: Digital Pathology 2014: 90410N - [c11]Mehrnoush Salarian, Eli Gibson, Maysam Shahedi, Mena Gaed, José A. Gómez, Madeleine Moussa, Cesare Romagnoli, Derek W. Cool, Matthew Bastian-Jordan, Joseph L. Chin, Stephen E. Pautler, Glenn S. Bauman, Aaron D. Ward:
Accuracy and variability of tumor burden measurement on multi-parametric MRI. Medical Imaging: Digital Pathology 2014: 90410I - [c10]Yiwen Xu, J. Geoffrey Pickering, Zengxuan Nong, Eli Gibson, Aaron D. Ward:
3D reconstruction of digitized histological sections for vasculature quantification in the mouse hind limb. Medical Imaging: Digital Pathology 2014: 90410G - [c9]W. Thomas Hrinivich, Eli Gibson, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Charles A. McKenzie, Glenn S. Bauman, Aaron D. Ward, Aaron Fenster, Eugene Wong:
A dimensionless dynamic contrast enhanced MRI parameter for intra-prostatic tumour target volume delineation: initial comparison with histology. Medical Imaging: Image-Guided Procedures 2014: 90362I - 2013
- [j2]Eli Gibson, Aaron Fenster, Aaron D. Ward:
The impact of registration accuracy on imaging validation study design: A novel statistical power calculation. Medical Image Anal. 17(7): 805-815 (2013) - [c8]Farhad Imani, Purang Abolmaesumi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Robert Siemens, Michael Leveridge, Silvia D. Chang, Aaron Fenster, Aaron D. Ward, Parvin Mousavi:
Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study. MICCAI (2) 2013: 279-286 - [c7]Eli Gibson, Mena Gaed, José A. Gómez, Madeleine Moussa, Cesare Romagnoli, Joseph L. Chin, Cathie Crukley, Glenn S. Bauman, Aaron Fenster, Aaron D. Ward:
3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms. Medical Imaging: Digital Pathology 2013: 86760A - [c6]Mehrnoush Salarian, Maysam Shahedi, Eli Gibson, Mena Gaed, José A. Gómez, Madeleine Moussa, Glenn S. Bauman, Aaron D. Ward:
Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement. Medical Imaging: Digital Pathology 2013: 86760F - 2012
- [c5]Eli Gibson, Aaron Fenster, Aaron D. Ward:
Registration Accuracy: How Good Is Good Enough? A Statistical Power Calculation Incorporating Image Registration Uncertainty. MICCAI (2) 2012: 643-650 - 2011
- [c4]Eli Gibson, Cathie Crukley, Jose A. Gomez, Madeleine Moussa, Glenn Bauman, Aaron Fenster, Aaron D. Ward:
Tissue block MRI for slice orientation-independent registration of digital histology images to ex vivo MRI of the prostate. ISBI 2011: 566-569 - [c3]Eli Gibson, Cathie Crukley, Jose A. Gomez, Madeleine Moussa, Joseph L. Chin, Glenn Bauman, Aaron Fenster, Aaron D. Ward:
Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images. Prostate Cancer Imaging 2011: 134-145 - 2010
- [j1]Eli Gibson, Mei Young, Marinko Sarunic, Mirza Faisal Beg:
Optic Nerve Head Registration Via Hemispherical Surface and Volume Registration. IEEE Trans. Biomed. Eng. 57(10): 2592-2595 (2010) - [c2]Aaron D. Ward, Cathie Crukley, Charles A. McKenzie, Jacques Montreuil, Eli Gibson, Jose A. Gomez, Madeleine Moussa, Glenn Bauman, Aaron Fenster:
Registration of In Vivo Prostate Magnetic Resonance Images to Digital Histopathology Images. Prostate Cancer Imaging 2010: 66-76
2000 – 2009
- 2009
- [c1]Eli Gibson, Ali R. Khan, Mirza Faisal Beg:
A Combined Surface And VOlumetric Registration (SAVOR) Framework to Study Cortical Biomarkers and Volumetric Imaging Data. MICCAI (1) 2009: 713-720
Coauthor Index
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