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ORCIDWilliam M. Wells III
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- affiliation: Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory
- affiliation: Harvard Medical School, Department of Radiology
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2020 – today
- 2025
[e14]Carole H. Sudre
, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells III:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15167, Springer 2025, ISBN 978-3-031-73157-0 [contents]- 2024
- [j64]Sarah F. Frisken, Nazim Haouchine, D. D. Chlorogiannis, V. Gopalakrishnan, Alexandre Cafaro, William M. Wells III, Alexandra J. Golby, R. Du:
VESCL: an open source 2D vessel contouring library. Int. J. Comput. Assist. Radiol. Surg. 19(8): 1627-1636 (2024) - [c150]Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine:
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. ASMUS@MICCAI 2024: 78-87 - [c149]Maximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent, Hassan Rasheed, Colin Galvin, Alexandra J. Golby, William M. Wells III, Sarah F. Frisken, Nassir Navab, Nazim Haouchine:
Intraoperative Registration by Cross-Modal Inverse Neural Rendering. MICCAI (6) 2024: 317-327 - [c148]Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III:
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound. MICCAI (6) 2024: 477-487 - [c147]Alexandre Cafaro, Reuben Dorent, Nazim Haouchine, Vincent Lepetit, Nikos Paragios, William M. Wells III, Sarah F. Frisken:
Two Projections Suffice for Cerebral Vascular Reconstruction. MICCAI (7) 2024: 722-731 - [i43]Malika Sanhinova, Nazim Haouchine, Steven D. Pieper, William M. Wells III, Tracy A. Balboni, Alexander Spektor, Mai Anh Huynh, Jeffrey P. Guenette, Bryan Czajkowski, Sarah Caplan, Patrick Doyle, Heejoo Kang, David B. Hackney, Ron N. Alkalay:
Registration of Longitudinal Spine CTs for Monitoring Lesion Growth. CoRR abs/2402.09341 (2024) - [i42]Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III:
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound. CoRR abs/2405.09959 (2024) - [i41]Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine:
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. CoRR abs/2409.08169 (2024) - [i40]Maximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent, Hassan Rasheed, Colin Galvin, Alexandra J. Golby, William M. Wells III, Sarah F. Frisken, Nassir Navab, Nazim Haouchine:
Intraoperative Registration by Cross-Modal Inverse Neural Rendering. CoRR abs/2409.11983 (2024) - [i39]Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland:
Calibrating Expressions of Certainty. CoRR abs/2410.04315 (2024) - [i38]Reuben Dorent, Nazim Haouchine, Alexandra J. Golby, Sarah F. Frisken, Tina Kapur, William M. Wells III:
Unified Cross-Modal Image Synthesis with Hierarchical Mixture of Product-of-Experts. CoRR abs/2410.19378 (2024) - 2023
- [j63]Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan, Nick Jowkar, Alireza Mehrtash, Chanel E. Fischetti, Denie Bernier, Kira Prentice, Erik P. Duhaime, Mike Jin, Purang Abolmaesumi, Friso G. Heslinga, Mitko Veta, Maria Alejandra Duran Mendicuti, Sarah F. Frisken, Paul B. Shyn, Alexandra J. Golby, Edward W. Boyer, William M. Wells III, Andrew J. Goldsmith, Tina Kapur:
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. IEEE J. Biomed. Health Informatics 27(9): 4352-4361 (2023) - [c146]Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. IPMI 2023: 457-470 - [c145]Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang:
MetaMorph: Learning Metamorphic Image Transformation with Appearance Changes. IPMI 2023: 576-587 - [c144]Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken:
Learning Expected Appearances for Intraoperative Registration During Neurosurgery. MICCAI (9) 2023: 227-237 - [c143]Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III:
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. MICCAI (10) 2023: 448-458 - [c142]Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Sample-Specific Debiasing for Better Image-Text Models. MLHC 2023: 788-803 - [i37]Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang:
MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes. CoRR abs/2303.04849 (2023) - [i36]Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Sample-Specific Debiasing for Better Image-Text Models. CoRR abs/2304.13181 (2023) - [i35]Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III:
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations. CoRR abs/2309.08747 (2023) - [i34]Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken:
Learning Expected Appearances for Intraoperative Registration during Neurosurgery. CoRR abs/2310.01735 (2023) - 2022
- [j62]Walid M. Abdelmoula, Sylwia Stopka, Elizabeth C. Randall, Michael Regan, Jeffrey N. Agar, Jann N. Sarkaria, William M. Wells III, Tina Kapur, Nathalie Y. R. Agar:
massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation. Bioinform. 38(7): 2015-2021 (2022) - [j61]Nazim Haouchine, Parikshit Juvekar, Michael Nercessian, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken:
Pose Estimation and Non-Rigid Registration for Augmented Reality During Neurosurgery. IEEE Trans. Biomed. Eng. 69(4): 1310-1317 (2022) - [j60]Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews:
Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets. IEEE Trans. Medical Imaging 41(4): 836-845 (2022) - [j59]Fan Zhang, William M. Wells III, Lauren J. O'Donnell:
Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration. IEEE Trans. Medical Imaging 41(6): 1454-1467 (2022) - [c141]Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell:
Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach. ISBI 2022: 1-5 - [c140]Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah F. Frisken, Jayender Jagadeesan, William M. Wells III, Xiu Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. MICCAI (6) 2022: 14-24 - [c139]Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken:
On the Dataset Quality Control for Image Registration Evaluation. MICCAI (6) 2022: 36-45 - [c138]Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl:
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. WBIR 2022: 103-115 - [e13]Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13563, Springer 2022, ISBN 978-3-031-16748-5 [contents] - [i33]Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell:
Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach. CoRR abs/2202.03595 (2022) - [i32]Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl:
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. CoRR abs/2205.07399 (2022) - [i31]Laurent Chauvin, William M. Wells III, Matthew Toews:
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry. CoRR abs/2205.15456 (2022) - [i30]Tengfei Xue, Fan Zhang, Leo R. Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin Karayumak, Steven D. Pieper, William M. Wells III, Yogesh Rathi, Nikos Makris, Weidong Cai, Lauren J. O'Donnell:
A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. CoRR abs/2210.07411 (2022) - [i29]Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. CoRR abs/2212.05561 (2022) - 2021
- [j58]Alireza Sedghi, Lauren J. O'Donnell, Tina Kapur, Erik G. Learned-Miller, Parvin Mousavi, William M. Wells III:
Image registration: Maximum likelihood, minimum entropy and deep learning. Medical Image Anal. 69: 101939 (2021) - [c137]Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III:
Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty. ISBI 2021: 443-447 - [c136]Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan:
Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks. ISBI 2021: 1660-1664 - [c135]Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland:
Equivariant Filters for Efficient Tracking in 3D Imaging. MICCAI (4) 2021: 193-202 - [c134]Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III:
Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) 2021: 273-283 - [c133]Ardavan Saeedi, Payman Yadollahpour, Sumedha Singla, Brian Pollack, William M. Wells III, Frank C. Sciurba, Kayhan Batmanghelich:
Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach. MLHC 2021: 478-505 - [e12]Carole H. Sudre, Roxane Licandro, Christian F. Baumgartner, Andrew Melbourne, Adrian V. Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents-Barrena, William M. Wells III, Christopher K. Macgowan:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 12959, Springer 2021, ISBN 978-3-030-87734-7 [contents] - [i28]Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III:
Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR abs/2103.04537 (2021) - [i27]Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews:
Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets. CoRR abs/2103.06966 (2021) - [i26]Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland:
Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR abs/2103.10255 (2021) - [i25]Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William M. Wells III, Sarah F. Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. CoRR abs/2107.02433 (2021) - [i24]Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo, William M. Wells III, Inês Machado, Rola Harmouche, Matthew Toews:
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor. CoRR abs/2112.10258 (2021) - 2020
- [j57]Sarah F. Frisken, Ma Luo, Parikshit Juvekar, Adomas Bunevicius, Inês Machado, Prashin Unadkat, Melina M. Bertotti, Matthew Toews, William M. Wells III, Michael I. Miga, Alexandra J. Golby:
A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection. Int. J. Comput. Assist. Radiol. Surg. 15(1): 75-85 (2020) - [j56]Alireza Sedghi, Alireza Mehrtash, Amoon Jamzad, Amel Amalou, William M. Wells III, Tina Kapur, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Sheng Xu, Purang Abolmaesumi, Parvin Mousavi:
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1215-1223 (2020) - [j55]Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William M. Wells III, Matthew Toews:
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage 204 (2020) - [j54]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39(2): 273-282 (2020) - [j53]Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur:
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. IEEE Trans. Medical Imaging 39(12): 3868-3878 (2020) - [c132]Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells III, Martin Ostermeier, Rebecca Fahrig, Arya Nabavi, Christoph Bert, Ilker Eyüpoglo, Andreas K. Maier:
Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process. Bildverarbeitung für die Medizin 2020: 156-162 - [c131]Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan:
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. MICCAI (3) 2020: 222-232 - [c130]Jie Luo, Sarah F. Frisken, Duo Wang, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
Are Registration Uncertainty and Error Monotonically Associated? MICCAI (3) 2020: 264-274 - [c129]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) 2020: 529-539 - [c128]Nazim Haouchine, Parikshit Juvekar, William M. Wells III, Stephane Cotin, Alexandra J. Golby, Sarah F. Frisken:
Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels. MICCAI (4) 2020: 735-744 - [c127]Nazim Haouchine, Parikshit Juvekar, Alexandra J. Golby, William M. Wells III, Stephane Cotin, Sarah F. Frisken:
Alignment of cortical vessels viewed through the surgical microscope with preoperative imaging to compensate for brain shift. Image-Guided Procedures 2020: 113151V - [c126]Alireza Sedghi, Gregory Salomons, Jean-David Jutras, Jim Gooding, L. John Schreiner, William M. Wells III, Parvin Mousavi:
Image registration with deep probabilistic classifiers: application in radiation therapy. Image-Guided Procedures 2020: 1131509 - [c125]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. NeurIPS 2020 - [e11]Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12443, Springer 2020, ISBN 978-3-030-60364-9 [contents] - [i23]Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells III, Martin Ostermeier, Rebecca Fahrig, Arya Nabavi, Christoph Bert, Ilker Eyüpoglo, Andreas K. Maier:
An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. CoRR abs/2001.05862 (2020) - [i22]Jie Luo, Guangshen Ma, Sarah F. Frisken, Parikshit Juvekar, Nazim Haouchine, Zhe Xu, Yiming Xiao, Alexandra J. Golby, Patrick J. Codd, Masashi Sugiyama, William M. Wells III:
Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation? CoRR abs/2003.09483 (2020) - [i21]Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan:
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. CoRR abs/2007.02790 (2020) - [i20]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR abs/2008.09884 (2020) - [i19]Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III:
DEMI: Discriminative Estimator of Mutual Information. CoRR abs/2010.01766 (2020) - [i18]Laurent Chauvin, Mohsen Ben Lazreg, Jean-Baptiste Carluer, William M. Wells III, Matthew Toews:
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features. CoRR abs/2010.04283 (2020) - [i17]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. CoRR abs/2010.12721 (2020) - [i16]Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan:
Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks. CoRR abs/2011.06214 (2020)
2010 – 2019
- 2019
- [j52]Bojan Kocev, Horst Karl Hahn, Lars Linsen, William M. Wells III, Ron Kikinis:
Uncertainty-aware asynchronous scattered motion interpolation using Gaussian process regression. Comput. Medical Imaging Graph. 72: 1-12 (2019) - [j51]Inês Machado, Matthew Toews, Elizabeth George, Prashin Unadkat, Walid Essayed, Jie Luo, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou:
Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. NeuroImage 202 (2019) - [j50]Alireza Mehrtash, Mohsen Ghafoorian, Guillaume Pernelle, Alireza Ziaei, Friso G. Heslinga, Kemal Tuncali, Andriy Fedorov, Ron Kikinis, Clare M. Tempany, William M. Wells III, Purang Abolmaesumi, Tina Kapur:
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Trans. Medical Imaging 38(4): 1026-1036 (2019) - [c124]Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques A. de Guise, William M. Wells III, Matthew Toews:
Analyzing Brain Morphology on the Bag-of-Features Manifold. IPMI 2019: 45-56 - [c123]Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III:
Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty. UNSURE/CLIP@MICCAI 2019: 12-22 - [c122]Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken:
On the Applicability of Registration Uncertainty. MICCAI (2) 2019: 410-419 - [c121]Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Semi-supervised image registration using deep learning. Image-Guided Procedures 2019: 109511G - [c120]Sarah F. Frisken, Ma Luo, Inês Machado, Prashin Unadkat, Parikshit Juvekar, Adomas Bunevicius, Matthew Toews, William M. Wells III, Michael I. Miga, Alexandra J. Golby:
Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound. Image-Guided Procedures 2019: 1095120 - [e10]Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Carole H. Sudre, William M. Wells III, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11840, Springer 2019, ISBN 978-3-030-32688-3 [contents] - [i15]Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Deep Information Theoretic Registration. CoRR abs/1901.00040 (2019) - [i14]Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland:
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR abs/1902.10785 (2019) - [i13]Jie Luo, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken:
Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery. CoRR abs/1908.07709 (2019) - [i12]Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur:
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. CoRR abs/1911.13273 (2019) - 2018
- [j49]Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III:
Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 13(10): 1525-1538 (2018) - [j48]Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat, Alireza Sedghi, Haoyin Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chieh Cheng, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1871-1880 (2018) - [j47]Guillermo Gallardo-Diez, William M. Wells III, Rachid Deriche, Demian Wassermann:
Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. NeuroImage 170: 307-320 (2018) - [j46]Matthew Toews, William M. Wells III:
Phantomless Auto-Calibration and Online Calibration Assessment for a Tracked Freehand 2-D Ultrasound Probe. IEEE Trans. Medical Imaging 37(1): 262-272 (2018) - [c119]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 2018: 30-38 - [c118]Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou:
Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 165-171 - [c117]Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang:
Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification. MICCAI (1) 2018: 880-888 - [i11]Jie Luo, Sarah F. Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matthew Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
On the Ambiguity of Registration Uncertainty. CoRR abs/1803.05266 (2018) - [i10]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR abs/1803.07682 (2018) - [i9]Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Semi-Supervised Deep Metrics for Image Registration. CoRR abs/1804.01565 (2018) - [i8]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. CoRR abs/1806.08723 (2018) - [i7]Guoxin Fan, Huaqing Liu, Zhenhua Wu, Yufeng Li, Chaobo Feng, Dongdong Wang, Jie Luo, Xiaofei Guan, William M. Wells III, Shisheng He:
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study. CoRR abs/1811.11843 (2018) - 2017
- [j45]Anna Custo, Dimitri Van De Ville, William M. Wells III, Miralena I. Tomescu, Denis Brunet, Christoph M. Michel:
Electroencephalographic Resting-State Networks: Source Localization of Microstates. Brain Connect. 7(10): 671-682 (2017) - [j44]Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier:
Guest editorial of the IJCARS MICCAI 2016 special issue. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1243-1244 (2017) - [j43]Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier:
The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Medical Image Anal. 41: 1 (2017) - [j42]Miaomiao Zhang, William M. Wells III, Polina Golland:
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms. Medical Image Anal. 41: 55-62 (2017) - [j41]Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III:
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. SIAM J. Imaging Sci. 10(3): 1069-1103 (2017) - [c116]Jenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich: