William M. Wells III

283 papers A* 10A 14B 3Journal 115Unranked 126

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms. CoRR Yingcheng Liu, Athena Taymourtash, Yang Liu, Esra Abaci Turk, William M. Wells III, Leo Joskowicz, Patricia Ellen Grant, Polina Golland
2026	J	`jnl`	Unified Cross-Modal Medical Image Synthesis With Hierarchical Mixture of Product-of-Experts. IEEE Trans. Pattern Anal. Mach. Intell. Reuben Dorent, Nazim Haouchine, Alexandra J. Golby, Sarah F. Frisken, Tina Kapur, William M. Wells III
2025	—	`conf`	A Novel Streamline-Based Diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection. MICCAI (12) Junyi Wang, Mubai Du, Ye Wu, Yijie Li, William M. Wells III, Lauren J. O'Donnell, Fan Zhang
2025	J	`jnl`	A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection. CoRR Junyi Wang, Mubai Du, Ye Wu, Yijie Li, William M. Wells III, Lauren J. O'Donnell, Fan Zhang
2025	A*	`conf`	Calibrating Expressions of Certainty. ICLR Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2025	J	`jnl`	Connecting Jensen-Shannon and Kullback-Leibler Divergences: A New Bound for Representation Learning. CoRR Reuben Dorent, Polina Golland, William M. Wells III
2025	J	`jnl`	Optimizing registration uncertainty visualization to support intraoperative decision-making during brain tumor resection. Int. J. Comput. Assist. Radiol. Surg. Mahsa Geshvadi, Reuben Dorent, Colin Galvin, Laura Rigolo, Nazim Haouchine, Tina Kapur, Steven D. Pieper, Mark G. Vangel, William M. Wells III, Alexandra J. Golby, Daniel Haehn, Sarah F. Frisken
2025	J	`jnl`	Spatiotemporally constrained 3D reconstruction from biplanar digital subtraction angiography. Int. J. Comput. Assist. Radiol. Surg. Sarah F. Frisken, Vivek Gopalakrishnan, David Dimitris Chlorogiannis, Nazim Haouchine, Alexandre Cafaro, Alexandra J. Golby, William M. Wells III, Rose Du
2025	J	`jnl`	The Brain Resection Multimodal Image Registration (ReMIND2Reg) 2025 Challenge. CoRR Reuben Dorent, Laura Rigolo, Colin Galvin, Junyu Chen, Mattias P. Heinrich, Aaron Carass, Olivier Colliot, Demian Wassermann, Alexandra J. Golby, Tina Kapur, William M. Wells III
2025	—	`ed.`	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 UNSURE@MICCAI Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells III
2025	J	`jnl`	When Experts Disagree: Characterizing Annotator Variability for Vessel Segmentation in DSA Images. CoRR Mahsa Geshvadi, G. So, David Dimitris Chlorogiannis, Colin Galvin, Erickson Torio, A. Azimi, Y. Tachie-Baffour, Nazim Haouchine, Alexandra J. Golby, Mark G. Vangel, William M. Wells III, Y. Epelboym, Rose Du, Funda Durupinar, Sarah F. Frisken
2024	J	`jnl`	Calibrating Expressions of Certainty. CoRR Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland
2024	—	`conf`	Intraoperative Registration by Cross-Modal Inverse Neural Rendering. MICCAI (6) 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
2024	J	`jnl`	Intraoperative Registration by Cross-Modal Inverse Neural Rendering. CoRR 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
2024	—	`conf`	Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. ASMUS@MICCAI Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine
2024	J	`jnl`	Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. CoRR Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine
2024	—	`conf`	Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound. MICCAI (6) Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III
2024	J	`jnl`	Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound. CoRR Reuben Dorent, Erickson Torio, Nazim Haouchine, Colin Galvin, Sarah F. Frisken, Alexandra J. Golby, Tina Kapur, William M. Wells III
2024	J	`jnl`	Registration of Longitudinal Spine CTs for Monitoring Lesion Growth. CoRR 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
2024	—	`conf`	Two Projections Suffice for Cerebral Vascular Reconstruction. MICCAI (7) Alexandre Cafaro, Reuben Dorent, Nazim Haouchine, Vincent Lepetit, Nikos Paragios, William M. Wells III, Sarah F. Frisken
2024	J	`jnl`	Unified Cross-Modal Image Synthesis with Hierarchical Mixture of Product-of-Experts. CoRR Reuben Dorent, Nazim Haouchine, Alexandra J. Golby, Sarah F. Frisken, Tina Kapur, William M. Wells III
2024	J	`jnl`	VESCL: an open source 2D vessel contouring library. Int. J. Comput. Assist. Radiol. Surg. Sarah F. Frisken, Nazim Haouchine, David Dimitris Chlorogiannis, Vivek Gopalakrishnan, Alexandre Cafaro, William M. Wells III, Alexandra J. Golby, Rose Du
2023	J	`jnl`	Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. IEEE J. Biomed. Health Informatics 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
2023	—	`conf`	Learning Expected Appearances for Intraoperative Registration During Neurosurgery. MICCAI (9) Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken
2023	J	`jnl`	Learning Expected Appearances for Intraoperative Registration during Neurosurgery. CoRR Nazim Haouchine, Reuben Dorent, Parikshit Juvekar, Erickson Torio, William M. Wells III, Tina Kapur, Alexandra J. Golby, Sarah F. Frisken
2023	J	`jnl`	MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes. CoRR Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang
2023	—	`conf`	MetaMorph: Learning Metamorphic Image Transformation with Appearance Changes. IPMI Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang
2023	—	`conf`	Sample-Specific Debiasing for Better Image-Text Models. MLHC Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	J	`jnl`	Sample-Specific Debiasing for Better Image-Text Models. CoRR Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings UNSURE@MICCAI Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells III
2023	—	`conf`	Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. MICCAI (10) 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
2023	J	`jnl`	Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations. CoRR 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
2023	—	`conf`	Using Multiple Instance Learning to Build Multimodal Representations. IPMI Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2022	J	`jnl`	A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. CoRR 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
2022	J	`jnl`	Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration. IEEE Trans. Medical Imaging Fan Zhang, William M. Wells III, Lauren J. O'Donnell
2022	—	`conf`	Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. MICCAI (6) 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
2022	J	`jnl`	Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets. IEEE Trans. Medical Imaging Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews
2022	—	`conf`	Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach. ISBI Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell
2022	J	`jnl`	Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach. CoRR Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell
2022	—	`conf`	On the Dataset Quality Control for Image Registration Evaluation. MICCAI (6) Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken
2022	J	`jnl`	Pose Estimation and Non-Rigid Registration for Augmented Reality During Neurosurgery. IEEE Trans. Biomed. Eng. Nazim Haouchine, Parikshit Juvekar, Michael Nercessian, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken
2022	J	`jnl`	Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry. CoRR Laurent Chauvin, William M. Wells III, Matthew Toews
2022	—	`conf`	SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. WBIR Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
2022	J	`jnl`	SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. CoRR Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
2022	—	`ed.`	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 UNSURE@MICCAI Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III
2022	J	`jnl`	Using Multiple Instance Learning to Build Multimodal Representations. CoRR Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2022	J	`jnl`	massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation. Bioinform. 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
2021	J	`jnl`	Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. CoRR 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
2021	J	`jnl`	Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets. CoRR Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews
2021	—	`conf`	Equivariant Filters for Efficient Tracking in 3D Imaging. MICCAI (4) Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
2021	J	`jnl`	Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
2021	J	`jnl`	GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor. CoRR Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo, William M. Wells III, Inês Machado, Rola Harmouche, Matthew Toews
2021	J	`jnl`	Image registration: Maximum likelihood, minimum entropy and deep learning. Medical Image Anal. Alireza Sedghi, Lauren J. O'Donnell, Tina Kapur, Erik G. Learned-Miller, Parvin Mousavi, William M. Wells III
2021	—	`conf`	Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach. MLHC Ardavan Saeedi, Payman Yadollahpour, Sumedha Singla, Brian Pollack, William M. Wells III, Frank C. Sciurba, Kayhan Batmanghelich
2021	—	`conf`	Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021	J	`jnl`	Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021	—	`conf`	Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty. ISBI Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III
2021	—	`ed.`	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 UNSURE/PIPPI@MICCAI 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
2021	—	`conf`	Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks. ISBI Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan
2020	J	`jnl`	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. 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
2020	—	`conf`	Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. MICCAI (3) Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan
2020	J	`jnl`	Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. CoRR Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan
2020	—	`conf`	Alignment of cortical vessels viewed through the surgical microscope with preoperative imaging to compensate for brain shift. Image-Guided Procedures Nazim Haouchine, Parikshit Juvekar, Alexandra J. Golby, William M. Wells III, Stephane Cotin, Sarah F. Frisken
2020	J	`jnl`	An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. CoRR 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
2020	—	`conf`	Are Registration Uncertainty and Error Monotonically Associated? MICCAI (3) Jie Luo, Sarah F. Frisken, Duo Wang, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III
2020	J	`jnl`	Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. IEEE Trans. Medical Imaging Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur
2020	J	`jnl`	DEMI: Discriminative Estimator of Mutual Information. CoRR Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III
2020	—	`conf`	Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels. MICCAI (4) Nazim Haouchine, Parikshit Juvekar, William M. Wells III, Stephane Cotin, Alexandra J. Golby, Sarah F. Frisken
2020	J	`jnl`	Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation? CoRR 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
2020	—	`conf`	Image registration with deep probabilistic classifiers: application in radiation therapy. Image-Guided Procedures Alireza Sedghi, Gregory Salomons, Jean-David Jutras, Jim Gooding, L. John Schreiner, William M. Wells III, Parvin Mousavi
2020	J	`jnl`	Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int. J. Comput. Assist. Radiol. Surg. 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
2020	—	`conf`	Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process. Bildverarbeitung für die Medizin 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
2020	—	`conf`	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
2020	J	`jnl`	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
2020	J	`jnl`	Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2020	J	`jnl`	Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features. CoRR Laurent Chauvin, Mohsen Ben Lazreg, Jean-Baptiste Carluer, William M. Wells III, Matthew Toews
2020	J	`jnl`	Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William M. Wells III, Matthew Toews
2020	A*	`conf`	PEP: Parameter Ensembling by Perturbation. NeurIPS Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2020	J	`jnl`	PEP: Parameter Ensembling by Perturbation. CoRR Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
2020	—	`ed.`	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 UNSURE/GRAIL@MICCAI 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
2020	J	`jnl`	Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks. CoRR Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan
2019	—	`conf`	Analyzing Brain Morphology on the Bag-of-Features Manifold. IPMI Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques A. de Guise, William M. Wells III, Matthew Toews
2019	J	`jnl`	Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Trans. Medical Imaging 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
2019	J	`jnl`	Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. CoRR Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur
2019	J	`jnl`	Deep Information Theoretic Registration. CoRR Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2019	J	`jnl`	Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. NeuroImage 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
2019	—	`conf`	On the Applicability of Registration Uncertainty. MICCAI (2) 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
2019	J	`jnl`	Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery. CoRR Jie Luo, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken
2019	—	`conf`	Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound. Image-Guided Procedures 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
2019	—	`conf`	Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty. UNSURE/CLIP@MICCAI Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III
2019	J	`jnl`	Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland
2019	—	`conf`	Semi-supervised image registration using deep learning. Image-Guided Procedures Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2019	—	`ed.`	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 UNSURE/CLIP@MICCAI 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
2019	J	`jnl`	Uncertainty-aware asynchronous scattered motion interpolation using Gaussian process regression. Comput. Medical Imaging Graph. Bojan Kocev, Horst Karl Hahn, Lars Linsen, William M. Wells III, Ron Kikinis
2018	—	`conf`	A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 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
2018	J	`jnl`	A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR 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
2018	J	`jnl`	Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study. CoRR Guoxin Fan, Huaqing Liu, Zhenhua Wu, Yufeng Li, Chaobo Feng, Dongdong Wang, Jie Luo, Xiaofei Guan, William M. Wells III, Shisheng He
2018	—	`conf`	Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 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
2018	—	`conf`	Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification. MICCAI (1) Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang
2018	J	`jnl`	Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. NeuroImage Guillermo Gallardo-Diez, William M. Wells III, Rachid Deriche, Demian Wassermann
2018	J	`jnl`	Keypoint Transfer for Fast Whole-Body Segmentation. CoRR Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2018	J	`jnl`	Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 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
2018	J	`jnl`	On the Ambiguity of Registration Uncertainty. CoRR 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
2018	J	`jnl`	Phantomless Auto-Calibration and Online Calibration Assessment for a Tracked Freehand 2-D Ultrasound Probe. IEEE Trans. Medical Imaging Matthew Toews, William M. Wells III
2018	J	`jnl`	Semi-Supervised Deep Metrics for Image Registration. CoRR Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
2018	J	`jnl`	Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 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
2017	—	`conf`	A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. IPMI Jenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich
2017	J	`jnl`	Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. SIAM J. Imaging Sci. Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III
2017	—	`conf`	Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. ISBI Fan Zhang, Pegah Kahali, Yannick Suter, Isaiah Norton, Laura Rigolo, Peter Savadjiev, Yang Song, Yogesh Rathi, Tom Weidong Cai, William M. Wells III, Alexandra J. Golby, Lauren J. O'Donnell
2017	—	`conf`	Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. Computer-Aided Diagnosis Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov
2017	—	`conf`	Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency. ISBI Fan Zhang, Isaiah Norton, Weidong Cai, Yang Song, William M. Wells III, Lauren J. O'Donnell
2017	—	`conf`	DeepInfer: open-source deep learning deployment toolkit for image-guided therapy. Image-Guided Procedures Alireza Mehrtash, Mehran Pesteie, Jorden Hetherington, Peter A. Behringer, Tina Kapur, William M. Wells III, Robert Rohling, Andriy Fedorov, Purang Abolmaesumi
2017	J	`jnl`	Electroencephalographic Resting-State Networks: Source Localization of Microstates. Brain Connect. Anna Custo, Dimitri Van De Ville, William M. Wells III, Miralena I. Tomescu, Denis Brunet, Christoph M. Michel
2017	J	`jnl`	Guest editorial of the IJCARS MICCAI 2016 special issue. Int. J. Comput. Assist. Radiol. Surg. Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier
2017	—	`ed.`	Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers MCV/BAMBI@MICCAI Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens
2017	J	`jnl`	Misdirected Registration Uncertainty. CoRR Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama
2017	J	`jnl`	Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
2017	J	`jnl`	Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms. Medical Image Anal. Miaomiao Zhang, William M. Wells III, Polina Golland
2017	J	`jnl`	The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Medical Image Anal. Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier
2017	—	`conf`	Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III
2017	J	`jnl`	Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III
2016	J	`jnl`	Direct neural current imaging in an intact cerebellum with magnetic resonance imaging. NeuroImage Padmavathi Sundaram, Aapo Nummenmaa, William M. Wells III, Darren Orbach, Daniel A. Orringer, Robert V. Mulkern, Yoshio Okada
2016	J	`jnl`	Editorial for the Special Issue on MICCAI 2015. Medical Image Anal. Nassir Navab, Alejandro F. Frangi, William M. Wells III, Andreas K. Maier
2016	J	`jnl`	Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis. Comput. Vis. Image Underst. Tal Arbel, Manuel Jorge Cardoso, William M. Wells III, Albert C. S. Chung, Doina Precup
2016	J	`jnl`	Group-wise parcellation of the cortex through multi-scale spectral clustering. NeuroImage Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
2016	—	`conf`	How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features. ISBI Matthew Toews, William M. Wells III
2016	J	`jnl`	Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. Medical Image Anal. Tina Kapur, Steve Pieper, Andriy Fedorov, Jean-Christophe Fillion-Robin, Michael Halle, Lauren O'Donnell, Andras Lasso, Tamas Ungi, Csaba Pinter, Julien Finet, Sonia Pujol, Jagadeesan Jayender, Junichi Tokuda, Isaiah Norton, Raúl San José Estépar, David T. Gering, Hugo J. W. L. Aerts, Marianna Jakab, Nobuhiko Hata, Luiz Ibáñez, Daniel J. Blezek, Jim Miller, Stephen R. Aylward, W. Eric L. Grimson, Gabor Fichtinger, William M. Wells III, William E. Lorensen, William J. Schroeder, Ron Kikinis
2016	—	`conf`	Inferring Disease Status by Non-parametric Probabilistic Embedding. MCV/BAMBI@MICCAI Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Raúl San José Estépar, Michael H. Cho, William M. Wells III
2016	—	`conf`	Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations. MICCAI (3) Miaomiao Zhang, William M. Wells III, Polina Golland
2016	J	`jnl`	Medical Image Analysis - past, present, and future. Medical Image Anal. William M. Wells III
2016	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I MICCAI (1) Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III
2016	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II MICCAI (2) Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III
2016	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III MICCAI (3) Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III
2015	—	`conf`	A Feature-Based Approach to Big Data Analysis of Medical Images. IPMI Matthew Toews, Christian Wachinger, Raúl San José Estépar, William M. Wells III
2015	J	`jnl`	Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. CoRR Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III
2015	—	`conf`	Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion. MICCAI (1) Frank Preiswerk, Matthew Toews, William Scott Hoge, Jr-yuan George Chiou, Lawrence P. Panych, William M. Wells III, Bruno Madore
2015	—	`conf`	Keypoint Transfer Segmentation. IPMI Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
2015	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III MICCAI (3) Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi
2015	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I MICCAI (1) Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi
2015	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part II MICCAI (2) Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi
2015	J	`jnl`	Open-source image registration for MRI-TRUS fusion-guided prostate interventions. Int. J. Comput. Assist. Radiol. Surg. Andriy Fedorov, Siavash Khallaghi, C. Antonio Sánchez, Andras Lasso, Sidney S. Fels, Kemal Tuncali, Emily Neubauer Sugar, Tina Kapur, Chenxi Zhang, William M. Wells III, Paul L. Nguyen, Purang Abolmaesumi, Clare M. Tempany
2015	J	`jnl`	Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging. IEEE Trans. Medical Imaging Clare B. Poynton, Mark Jenkinson, Elfar Adalsteinsson, Edith V. Sullivan, Adolf Pfefferbaum, William M. Wells III
2015	—	`conf`	RF Ultrasound Distribution-Based Confidence Maps. MICCAI (2) Tassilo Klein, William M. Wells III
2015	—	`conf`	Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex. IPMI Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
2014	J	`jnl`	Application of Tolerance Limits to the Characterization of Image Registration Performance. IEEE Trans. Medical Imaging Andriy Fedorov, William M. Wells III, Ron Kikinis, Clare M. Tempany, Mark G. Vangel
2014	J	`jnl`	Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs. Medical Image Anal. Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios
2014	A*	`conf`	Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields. CVPR Demian Wassermann, James C. Ross, George R. Washko, William M. Wells III, Raúl San José Estépar
2014	—	`conf`	Gaussian Process Interpolation for Uncertainty Estimation in Image Registration. MICCAI (1) Christian Wachinger, Polina Golland, Martin Reuter, William M. Wells III
2014	—	`conf`	Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
2013	—	`conf`	Automatic probe artifact detection in MRI-guided cryoablation. Image-Guided Procedures Xinyang Liu, Kemal Tuncali, William M. Wells III, Gary P. Zientara
2013	J	`jnl`	Bayesian characterization of uncertainty in intra-subject non-rigid registration. Medical Image Anal. Petter Risholm, Firdaus Janoos, Isaiah Norton, Alexandra J. Golby, William M. Wells III
2013	J	`jnl`	Efficient and robust model-to-image alignment using 3D scale-invariant features. Medical Image Anal. Matthew Toews, William M. Wells III
2013	—	`conf`	Feature-Based Alignment of Volumetric Multi-modal Images. IPMI Matthew Toews, Lilla Zöllei, William M. Wells III
2013	—	`ed.`	Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28-July 3, 2013. Proceedings IPMI James C. Gee, Sarang C. Joshi, Kilian M. Pohl, William M. Wells III, Lilla Zöllei
2013	J	`jnl`	Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab. CoRR Jan Egger, Junichi Tokuda, Laurent Chauvin, Bernd Freisleben, Christopher Nimsky, Tina Kapur, William M. Wells III
2013	—	`conf`	Inter-slice Correspondence for 2D Ultrasound-Guided Procedures. CLIP Matthew Toews, Alexandra J. Golby, William M. Wells III
2013	—	`conf`	Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. IPMI Birkan Tunç, Alex R. Smith, Demian Wassermann, Xavier Pennec, William M. Wells III, Ragini Verma, Kilian M. Pohl
2013	—	`conf`	Prototype Design and Phantom Evaluation of a Device for Co-registered MRI/TRUS Imaging of the Prostate. CLIP Andriy Fedorov, Sang-Eun Song, Tina Kapur, Robert Owen, Emily Neubauer Sugar, Paul Nguyen, William M. Wells III, Clare M. Tempany
2013	A*	`conf`	Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration. ICCV Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios
2013	—	`conf`	Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy. MICCAI (3) Guillaume Pernelle, Alireza Mehrtash, Lauren Barber, Antonio Damato, Wei Wang, Ravi Teja Seethamraju, Ehud J. Schmidt, Robert A. Cormack, William M. Wells III, Akila N. Viswanathan, Tina Kapur
2012	—	`conf`	A Feature-Based Developmental Model of the Infant Brain in Structural MRI. MICCAI (2) Matthew Toews, William M. Wells III, Lilla Zöllei
2012	—	`conf`	Bayesian Characterization of Uncertainty in Multi-modal Image Registration. WBIR Firdaus Janoos, Petter Risholm, William M. Wells III
2012	—	`conf`	Fully automatic 3D segmentation of iceball for image-guided cryoablation. EMBC Xinyang Liu, Kemal Tuncali, William M. Wells III, Paul R. Morrison, Gary P. Zientara
2012	—	`conf`	Identification of Recurrent Patterns in the Activation of Brain Networks. NIPS Firdaus Janoos, Weichang Li, Niranjan A. Subrahmanya, István Ákos Mórocz, William M. Wells III
2012	—	`conf`	MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. MLMI Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany
2012	—	`conf`	Robust non-rigid registration and characterization of uncertainty. MMBIA Firdaus Janoos, Petter Risholm, William M. Wells III
2012	—	`conf`	Selection of Optimal Hyper-Parameters for Estimation of Uncertainty in MRI-TRUS Registration of the Prostate. MICCAI (3) Petter Risholm, Firdaus Janoos, Jennifer Pursley, Andriy Fedorov, Clare M. Tempany, Robert A. Cormack, William M. Wells III
2012	—	`conf`	Two solutions for registration of ultrasound to MRI for image-guided prostate interventions. EMBC Mehdi Moradi, Firdaus Janoos, Andriy Fedorov, Petter Risholm, Tina Kapur, Luciant D. Wolfsberger, Paul L. Nguyen, Clare M. Tempany, William M. Wells III
2012	—	`conf`	Unbiased Groupwise Registration of White Matter Tractography. MICCAI (3) Lauren J. O'Donnell, William M. Wells III, Alexandra J. Golby, Carl-Fredrik Westin
2012	J	`jnl`	Validating atlas-guided DOT: A comparison of diffuse optical tomography informed by atlas and subject-specific anatomies. NeuroImage Robert J. Cooper, Matteo Caffini, Jay Dubb, Qianqian Fang, Anna Custo, Daisuke Tsuzuki, Bruce Fischl, William M. Wells III, Ippeita Dan, David A. Boas
2012	J	`jnl`	fMRI-DTI modeling via landmark distance atlases for prediction and detection of fiber tracts. NeuroImage Lauren J. O'Donnell, Laura Rigolo, Isaiah Norton, William M. Wells III, Carl-Fredrik Westin, Alexandra J. Golby
2011	—	`conf`	Estimation of Delivered Dose in Radiotherapy: The Influence of Registration Uncertainty. MICCAI (1) Petter Risholm, James M. Balter, William M. Wells III
2011	—	`conf`	Probabilistic Elastography: Estimating Lung Elasticity. IPMI Petter Risholm, James C. Ross, George R. Washko, William M. Wells III
2011	—	`conf`	Probabilistic non-rigid registration of prostate images: Modeling and quantifying uncertainty. ISBI Petter Risholm, Andriy Fedorov, Jennifer Pursley, Kemal Tuncali, Robert A. Cormack, William M. Wells III
2011	—	`conf`	State-Space Models of Mental Processes from fMRI. IPMI Firdaus Janoos, Shantanu Singh, Raghu Machiraju, William M. Wells III, István Ákos Mórocz
2010	—	`conf`	A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images. CVPR Workshops Matthew Toews, William M. Wells III
2010	J	`jnl`	Anatomical atlas-guided diffuse optical tomography of brain activation. NeuroImage Anna Custo, David A. Boas, Daisuke Tsuzuki, Ippeita Dan, Rickson Mesquita, Bruce Fischl, W. Eric L. Grimson, William M. Wells III
2010	—	`conf`	Bayesian Estimation of Deformation and Elastic Parameters in Non-rigid Registration. WBIR Petter Risholm, Eigil Samset, William M. Wells III
2010	J	`jnl`	Combining spatial priors and anatomical information for fMRI detection. Medical Image Anal. Wanmei Ou, William M. Wells III, Polina Golland
2010	J	`jnl`	Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
2010	J	`jnl`	Segmentation of image ensembles via latent atlases. Medical Image Anal. Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland
2010	—	`conf`	Summarizing and Visualizing Uncertainty in Non-rigid Registration. MICCAI (2) Petter Risholm, Steve Pieper, Eigil Samset, William M. Wells III
2010	B	`conf`	Validation of a nonrigid registration framework that accommodates tissue resection. Image Processing Petter Risholm, Eigil Samset, William M. Wells III
2009	—	`conf`	A Non-rigid Registration Framework That Accommodates Resection and Retraction. IPMI Petter Risholm, Eigil Samset, Ion-Florin Talos, William M. Wells III
2009	—	`conf`	Atlas-Based Improved Prediction of Magnetic Field Inhomogeneity for Distortion Correction of EPI Data. MICCAI (1) Clare B. Poynton, Mark Jenkinson, William M. Wells III
2009	—	`conf`	Bayesian Registration via Local Image Regions: Information, Selection and Marginalization. IPMI Matthew Toews, William M. Wells III
2009	—	`conf`	Feature-Based Morphometry. MICCAI (1) Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
2009	—	`conf`	Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland
2009	J	`jnl`	Markov Random Field Segmentation of Brain MR Images CoRR Karsten Held, Elena Rota Kops, Bernd J. Krause, William M. Wells III, Ron Kikinis, Hans-W. Müller-Gärtner
2009	B	`conf`	On the optimality of mutual information as an image registration objective function. ICIP Lilla Zöllei, William M. Wells III
2009	A*	`conf`	SIFT-Rank: Ordinal description for invariant feature correspondence. CVPR Matthew Toews, William M. Wells III
2008	—	`conf`	A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis. ISBI Mahnaz Maddah, Lilla Zöllei, W. Eric L. Grimson, Carl-Fredrik Westin, William M. Wells III
2008	J	`jnl`	A unified framework for clustering and quantitative analysis of white matter fiber tracts. Medical Image Anal. Mahnaz Maddah, W. Eric L. Grimson, Simon K. Warfield, William M. Wells III
2008	—	`conf`	Fieldmap-Free Retrospective Registration and Distortion Correction for EPI-Based Functional Imaging. MICCAI (2) Clare B. Poynton, Mark Jenkinson, Stephen Whalen, Alexandra J. Golby, William M. Wells III
2008	—	`conf`	Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis. MICCAI (1) Mahnaz Maddah, Marek Kubicki, William M. Wells III, Carl-Fredrik Westin, Martha Elizabeth Shenton, W. Eric L. Grimson
2008	—	`conf`	Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution. CVPR Workshops Mahnaz Maddah, Lilla Zöllei, W. Eric L. Grimson, William M. Wells III
2008	—	`conf`	Monitoring slowly evolving tumors. ISBI Ender Konukoglu, William M. Wells III, Sébastien Novellas, Nicholas Ayache, Ron Kikinis, Peter M. Black, Kilian M. Pohl
2007	J	`jnl`	A Hierarchical Algorithm for MR Brain Image Parcellation. IEEE Trans. Medical Imaging Kilian M. Pohl, Sylvain Bouix, Motoaki Nakamura, Torsten Rohlfing, Robert W. McCarley, Ron Kikinis, W. Eric L. Grimson, Martha Elizabeth Shenton, William M. Wells III
2007	—	`conf`	A Marginalized MAP Approach and EM Optimization for Pair-Wise Registration. IPMI Lilla Zöllei, Mark Jenkinson, Samson J. Timoner, William M. Wells III
2007	—	`conf`	Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework. IPMI Kilian M. Pohl, Ron Kikinis, William M. Wells III
2007	J	`jnl`	Displacement of brain regions in preterm infants with non-synostotic dolichocephaly investigated by MRI. NeuroImage Andrea J. U. Mewes, Lilla Zöllei, Petra S. Hüppi, Heidelise Als, Gloria B. McAnulty, Terrie E. Inder, William M. Wells III, Simon K. Warfield
2007	—	`conf`	MCMC Curve Sampling for Image Segmentation. MICCAI (2) Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky
2007	—	`conf`	Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts. IPMI Mahnaz Maddah, William M. Wells III, Simon K. Warfield, Carl-Fredrik Westin, W. Eric L. Grimson
2007	J	`jnl`	Using the logarithm of odds to define a vector space on probabilistic atlases. Medical Image Anal. Kilian M. Pohl, John W. Fisher III, Sylvain Bouix, Martha Elizabeth Shenton, Robert W. McCarley, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
2006	J	`jnl`	A Bayesian model for joint segmentation and registration. NeuroImage Kilian M. Pohl, John W. Fisher III, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
2006	J	`jnl`	Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI. NeuroImage Ying Wu, Simon K. Warfield, I. Leng Tan, William M. Wells III, Dominik S. Meier, Ronald A. van Schijndel, Frederik Barkhof, Charles R. G. Guttmann
2006	—	`conf`	Logarithm Odds Maps for Shape Representation. MICCAI (2) Kilian M. Pohl, John W. Fisher III, Martha Elizabeth Shenton, Robert W. McCarley, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
2006	—	`conf`	Multi-modal Image Registration Using Dirichlet-Encoded Prior Information. WBIR Lilla Zöllei, William M. Wells III
2006	—	`conf`	Using surface normals to localize subdural intracranial electrodes placed during neurosurgery. ISBI James P. O'Shea, William M. Wells III, Alexandra J. Golby
2006	—	`conf`	Validation of Image Segmentation by Estimating Rater Bias and Variance. MICCAI (2) Simon K. Warfield, Kelly H. Zou, William M. Wells III
2005	A	`conf`	A Unifying Approach to Registration, Segmentation, and Intensity Correction. MICCAI Kilian M. Pohl, John W. Fisher III, James J. Levitt, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, William M. Wells III
2005	J	`jnl`	An EM algorithm for shape classification based on level sets. Medical Image Anal. Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky
2005	—	`conf`	Bayesian Population Modeling of Effective Connectivity. IPMI Eric R. Cosman Jr., William M. Wells III
2005	J	`jnl`	Capturing intraoperative deformations: research experience at Brigham and Women's hospital. Medical Image Anal. Simon K. Warfield, Steven Haker, Ion-Florin Talos, Corey Kemper, Neil I. Weisenfeld, Andrea J. U. Mewes, Daniel Goldberg-Zimring, Kelly H. Zou, Carl-Fredrik Westin, William M. Wells III, Clare M. Tempany, Alexandra J. Golby, Peter M. Black, Ferenc A. Jolesz, Ron Kikinis
2005	A	`conf`	Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation. MICCAI Steven Haker, William M. Wells III, Simon K. Warfield, Ion-Florin Talos, Jui G. Bhagwat, Daniel Goldberg-Zimring, Asim Mian, Lucila Ohno-Machado, Kelly H. Zou
2005	—	`conf`	Efficient Population Registration of 3D Data. CVBIA Lilla Zöllei, Erik G. Learned-Miller, W. Eric L. Grimson, William M. Wells III
2005	—	`conf`	Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images. CVBIA Kilian M. Pohl, John W. Fisher III, Ron Kikinis, W. Eric L. Grimson, William M. Wells III
2004	—	`conf`	2D-3D Vascular Registration Between Digital Subtraction Angiographic (DSA) And Magnetic Resonance Angiographic (MRA) Images. ISBI Albert C. S. Chung, Ho-Ming Chan, Simon C. H. Yu, William M. Wells III
2004	—	`conf`	A Prospective Multi-institutional Study of the Reproducibility of fMRI: A Preliminary Report from the Biomedical Informatics Research Network. MICCAI (2) Kelly H. Zou, Douglas N. Greve, Meng Wang, Steven D. Pieper, Simon K. Warfield, Nathan S. White, Mark G. Vangel, Ron Kikinis, William M. Wells III, First Birn
2004	—	`conf`	Automatic Optimization of Segmentation Algorithms Through Simultaneous Truth and Performance Level Estimation (STAPLE). MICCAI (1) Mahnaz Maddah, Kelly H. Zou, William M. Wells III, Ron Kikinis, Simon K. Warfield
2004	—	`conf`	Coupling Statistical Segmentation and PCA Shape Modeling. MICCAI (1) Kilian M. Pohl, Simon K. Warfield, Ron Kikinis, W. Eric L. Grimson, William M. Wells III
2004	—	`conf`	Exact MAP Activity Detection in f MRI Using a GLM with an Ising Spatial Prior. MICCAI (2) Eric R. Cosman Jr., John W. Fisher III, William M. Wells III
2004	—	`conf`	Level Set Methods in an EM Framework for Shape Classification and Estimation. MICCAI (1) Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky
2004	—	`conf`	Multiresolution Image Registration Based on Kullback-Leibler Distance. MICCAI (1) Rui Gan, Jue Wu, Albert C. S. Chung, Simon C. H. Yu, William M. Wells III
2004	J	`jnl`	Mutual information in coupled multi-shape model for medical image segmentation. Medical Image Anal. Andy Tsai, William M. Wells III, Clare M. Tempany, Eric Grimson, Alan S. Willsky
2004	J	`jnl`	Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Medical Imaging Simon K. Warfield, Kelly H. Zou, William M. Wells III
2003	—	`conf`	A Navigation System for Augmenting Laparoscopic Ultrasound. MICCAI (2) James Ellsmere, Jeffrey A. Stoll, David W. Rattner, David Brooks, Robert Kane, William M. Wells III, Ron Kikinis, Kirby G. Vosburgh
2003	—	`conf`	A New Technique for Multi-modal 3D Image Registration. WBIR Gjenna Stippel, James Ellsmere, Simon K. Warfield, William M. Wells III, Wilfried Philips
2003	J	`jnl`	A Shape-Based Approach to the Segmentation of Medical Imagery Using Level Sets. IEEE Trans. Medical Imaging Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky
2003	—	`conf`	A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration. IPMI Lilla Zöllei, John W. Fisher III, William M. Wells III
2003	—	`conf`	A Unified Variational Approach to Denoising and Bias Correction in MR. IPMI Ayres C. Fan, William M. Wells III, John W. Fisher III, Müjdat Çetin, Steven Haker, Robert V. Mulkern, Clare M. Tempany, Alan S. Willsky
2003	—	`conf`	Augmenting intraoperative MRI with preoperative fMRI and DTI by biomechanical simulation of brain deformation. Image-Guided Procedures Simon Keith Warfield, Ion-Florin Talos, Corey Kemper, Eric Richard Cosman, Alida Tei, Matthieu Ferrant, Benoît Macq, William M. Wells III, Peter McLaren Black, Ferenc A. Jolesz, Ron Kikinis
2003	—	`conf`	Capturing Brain Deformation. IS4TH Simon K. Warfield, Ion-Florin Talos, Corey Kemper, Lauren O'Donnell, Carl-Fredrik Westin, William M. Wells III, Peter M. Black, Ferenc A. Jolesz, Ron Kikinis
2003	—	`conf`	Coupled Multi-shape Model and Mutual Information for Medical Image Segmentation. IPMI Andy Tsai, William M. Wells III, Clare M. Tempany, W. Eric L. Grimson, Alan S. Willsky
2003	—	`conf`	Diffusion Tensor and Functional MRI Fusion with Anatomical MRI for Image-Guided Neurosurgery. MICCAI (1) Ion-Florin Talos, Lauren O'Donnell, Carl-Fredrik Westin, Simon K. Warfield, William M. Wells III, Seung-Schik Yoo, Lawrence P. Panych, Alexandra J. Golby, Hatsuho Mamata, Stefan S. Maier, Peter Ratiu, Charles R. G. Guttmann, Peter M. Black, Ferenc A. Jolesz, Ron Kikinis
2003	—	`conf`	Exploratory Identification of Cardiac Noise in fMRI Images. MICCAI (1) Lilla Zöllei, Lawrence P. Panych, W. Eric L. Grimson, William M. Wells III
2003	A	`conf`	Holographic Video Display of Time-Series Volumetric Medical Data. IEEE Visualization Wendy Plesniak, Michael Halle, Steven D. Pieper, William M. Wells III, Marianna Jakab, Dominik S. Meier, Stephen A. Benton, Charles R. G. Guttmann, Ron Kikinis
2003	—	`conf`	Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms. CVPR (2) Ho-Ming Chan, Albert C. S. Chung, Simon C. H. Yu, Alexander Norbash, William M. Wells III
2003	—	`conf`	Rigid Registration of Echoplanar and Conventional Magnetic Resonance Images by Minimizing the Kullback-Leibler Distance. WBIR Salil Soman, Albert C. S. Chung, W. Eric L. Grimson, William M. Wells III
2002	—	`conf`	Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images. MICCAI (1) Kilian M. Pohl, William M. Wells III, Alexandre Guimond, Kiyoto Kasai, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, Simon K. Warfield
2002	—	`conf`	Intra-patient Prone to Supine Colon Registration for Synchronized Virtual Colonoscopy. MICCAI (2) Delphine Nain, Steven Haker, W. Eric L. Grimson, Eric R. Cosman Jr., William M. Wells III, Hoon Ji, Ron Kikinis, Carl-Fredrik Westin
2002	—	`conf`	Multi-modal Image Registration by Minimising Kullback-Leibler Distance. MICCAI (2) Albert C. S. Chung, William M. Wells III, Alexander Norbash, W. Eric L. Grimson
2002	—	`conf`	Performance Issues in Shape Classification. MICCAI (1) Samson J. Timoner, Polina Golland, Ron Kikinis, Martha Elizabeth Shenton, W. Eric L. Grimson, William M. Wells III
2002	—	`conf`	Simultaneous validation of image segmentation and assessment of expert quality [tumor MRI application]. ISBI Simon K. Warfield, Kelly H. Zou, Michael Kaus, William M. Wells III
2002	—	`conf`	Statistical Validation of Automated Probabilistic Segmentation against Composite Latent Expert Ground Truth in MR Imaging of Brain Tumors. MICCAI (1) Kelly H. Zou, William M. Wells III, Michael Kaus, Ron Kikinis, Ferenc A. Jolesz, Simon K. Warfield
2002	—	`conf`	Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm. MICCAI (1) Simon K. Warfield, Kelly H. Zou, William M. Wells III
2001	—	`conf`	2D-3D Rigid Registration of X-Ray Fluoroscopy and CT Images Using Mutual Information and Sparsely Sampled Histogram Estimators. CVPR (2) Lilla Zöllei, W. Eric L. Grimson, Alexander Norbash, William M. Wells III
2001	A	`conf`	A Binary Entropy Measure to Assess Nonrigid Registration Algorithms. MICCAI Simon K. Warfield, Jan Rexilius, Petra S. Huppi, Terrie E. Inder, Erik G. Miller, William M. Wells III, Gary P. Zientara, Ferenc A. Jolesz, Ron Kikinis
2001	A	`conf`	Adaptive Entropy Rates for f MRI Time-Series Analysis. MICCAI John W. Fisher III, Eric R. Cosman Jr., Cindy Wible, William M. Wells III
2001	A	`conf`	Fast Linear Elastic Matching Without Landmarks. MICCAI Samson J. Timoner, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
2001	—	`conf`	Model-Based Curve Evolution Technique for Image Segmentation. CVPR (1) Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky
2000	A	`conf`	Incorporating Spatial Priors into an Information Theoretic Approach for MICCAI Junmo Kim, John W. Fisher III, Andy Tsai, Cindy Wible, Alan S. Willsky, William M. Wells III
2000	J	`jnl`	Object Detection and Localization by Dynamic Template Warping. Int. J. Comput. Vis. Aparna Lakshmi Ratan, W. Eric L. Grimson, William M. Wells III
2000	A	`conf`	Simulation of Corticospinal Tract Displacement in Patients with Brain Tumors. MICCAI Michael Kaus, Arya Nabavi, C. T. Mamisch, William M. Wells III, Ferenc A. Jolesz, Ron Kikinis, Simon K. Warfield
1999	A	`conf`	A Volumetric Optical Flow Method for Measurement of Brain Deformation from Intraoperative Magnetic Resonance Images. MICCAI Nobuhiko Hata, Arya Nabavi, Simon K. Warfield, William M. Wells III, Ron Kikinis, Ferenc A. Jolesz
1999	A	`conf`	An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging. MICCAI David T. Gering, Arya Nabavi, Ron Kikinis, W. Eric L. Grimson, Nobuhiko Hata, Peter Everett, Ferenc A. Jolesz, William M. Wells III
1999	A	`conf`	Analysis of Functional MRI Data Using Mutual Information. MICCAI Andy Tsai, John W. Fisher III, Cindy Wible, William M. Wells III, Junmo Kim, Alan S. Willsky
1998	A	`conf`	Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery. MICCAI Tina Kapur, W. Eric L. Grimson, Ron Kikinis, William M. Wells III
1998	A	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI'98, First International Conference, Cambridge, MA, USA, October 11-13, 1998, Proceedings MICCAI William M. Wells III, Alan C. F. Colchester, Scott L. Delp
1998	A	`conf`	Multimodality Deformable Registration of Pre- and Intraoperative Images for MRI-guided Brain Surgery. MICCAI Nobuhiko Hata, Takeyoshi Dohi, Simon K. Warfield, William M. Wells III, Ron Kikinis, Ferenc A. Jolesz
1998	A*	`conf`	Object Detection and Localization by Dynamic Template Warping. CVPR Aparna Lakshmi Ratan, W. Eric L. Grimson, William M. Wells III
1997	J	`jnl`	Alignment by Maximization of Mutual Information. Int. J. Comput. Vis. Paul A. Viola, William M. Wells III
1997	—	`conf`	Design considerations for a computer-vision-enabled ophthalmic augmented reality environment. CVRMed Jeffrey W. Berger, Michael E. Leventon, Nobuhiko Hata, William M. Wells III, Ron Kikinis
1997	J	`jnl`	Markov Random Field Segmentation of Brain MR Images. IEEE Trans. Medical Imaging Karsten Held, Elena Rota Kops, Bernd J. Krause, William M. Wells III, Ron Kikinis, Hans-W. Müller-Gärtner
1997	J	`jnl`	Statistical Approaches to Feature-Based Object Recognition. Int. J. Comput. Vis. William M. Wells III
1997	J	`jnl`	Utilizing Segmented MRI Data in Image-Guided Surgery. Int. J. Pattern Recognit. Artif. Intell. W. Eric L. Grimson, Tina Kapur, Gil J. Ettinger, Michael E. Leventon, William M. Wells III, Ron Kikinis
1996	J	`jnl`	Adaptive segmentation of MRI data. IEEE Trans. Medical Imaging William M. Wells III, W. Eric L. Grimson, Ron Kikinis, Ferenc A. Jolesz
1996	J	`jnl`	An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization. IEEE Trans. Medical Imaging W. Eric L. Grimson, Gil J. Ettinger, Steve J. White, Tomás Lozano-Pérez, William M. Wells III, Ron Kikinis
1996	—	`conf`	Image Guided Microscopic Surgery System Using Mutual-Information Based Registraion. VBC Nobuhiko Hata, William M. Wells III, Michael Halle, Shin Nakajima, Paul A. Viola, Ron Kikinis, Ferenc A. Jolesz
1996	J	`jnl`	Multi-modal volume registration by maximization of mutual information. Medical Image Anal. William M. Wells III, Paul A. Viola, Hideki Atsumi, Shin Nakajima, Ron Kikinis
1996	J	`jnl`	Segmentation of brain tissue from magnetic resonance images. Medical Image Anal. Tina Kapur, W. Eric L. Grimson, William M. Wells III, Ron Kikinis
1995	—	`conf`	Adaptive Segmentation of MRI Data. CVRMed William M. Wells III, W. Eric L. Grimson, Ron Kikinis, Ferenc A. Jolesz
1995	A*	`conf`	Alignment by Maximization of Mutual Information . ICCV Paul A. Viola, William M. Wells III
1995	—	`conf`	Evaluating and Validating an Automated Registration System for Enhanced Reality Visualization in Surgery. CVRMed W. Eric L. Grimson, Gil J. Ettinger, Steve J. White, P. Langham Gleason, Tomás Lozano-Pérez, William M. Wells III, Ron Kikinis
1994	A*	`conf`	An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization. CVPR W. Eric L. Grimson, Tomás Lozano-Pérez, Steve J. White, William M. Wells III, Ron Kikinis, Gil J. Ettinger
1994	—	`conf`	Image guidance techniques for neurosurgery. VBC Ron Kikinis, P. Langham Gleason, William E. Lorensen, William M. Wells III, W. Eric L. Grimson, Tomás Lozano-Pérez, Gil J. Ettinger, Steven F. White, Ferenc A. Jolesz
1994	—	`conf`	Statistical intensity correction and segmentation of MRI data. VBC William M. Wells III, W. Eric L. Grimson, Ron Kikinis, Ferenc A. Jolesz
1993	—	`—`	Statistical object recognition. William M. Wells III
1991	A*	`conf`	MAP model matching. CVPR William M. Wells III
1990	B	`conf`	Massively parallel image restoration. IJCNN Murali M. Menon, William M. Wells III
1989	J	`jnl`	Vision estimation of 3-D line segments from motion-a mobile robot vision system. IEEE Trans. Robotics Autom. William M. Wells III
1987	A*	`conf`	Visual Estimation of 3-D Line Segments from Motion - A Mobile Robot Vision System. AAAI William M. Wells III
1986	J	`jnl`	Efficient Synthesis of Gaussian Filters by Cascaded Uniform Filters. IEEE Trans. Pattern Anal. Mach. Intell. William M. Wells III