William M. Wells III

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 95

Top Venues

CoRR

IPMI

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

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 (2024)
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)
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) (2023)
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 (2023)
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)
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 (2023)
Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang
MetaMorph: Learning Metamorphic Image Transformation with Appearance Changes. IPMI (2023)
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 (2023)
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Using Multiple Instance Learning to Build Multimodal Representations. IPMI (2023)
Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang
MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes. CoRR (2023)
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)
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Using Multiple Instance Learning to Build Multimodal Representations. CoRR (2022)
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)
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 (2022)
Laurent Chauvin, William M. Wells III, Matthew Toews
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry. CoRR (2022)
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)
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) (2022)
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) (2022)
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) (2022)
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)
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)
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 (2022)
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) (2022)
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 (2022)
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)
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 (2021)
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 (2021)
Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland
Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR (2021)
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 (2021)
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)
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)
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 (2021)
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)
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 (2021)
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III
PEP: Parameter Ensembling by Perturbation. CoRR (2020)
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)
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 (2020)
Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III
DEMI: Discriminative Estimator of Mutual Information. CoRR (2020)
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 (2020)
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) (2020)
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) (2020)
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)
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)
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) (2020)
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 (2020)
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. Medical Imaging: Image-Guided Procedures (2020)
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. Medical Imaging: Image-Guided Procedures (2020)
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 (2019)
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)
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) (2019)
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III
Deep Information Theoretic Registration. CoRR (2019)
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)
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. Medical Imaging: Image-Guided Procedures (2019)
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)
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)
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. Medical Imaging: Image-Guided Procedures (2019)
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 (2019)
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 (2019)
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) (2018)
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) (2018)
Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang
Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification. MICCAI (1) (2018)
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 (2018)
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 (2018)
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)
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)
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 (2018)
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 (2018)
Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR (2017)
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) (2017)
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) (2017)
Fan Zhang, Isaiah Norton, Weidong Cai, Yang Song, William M. Wells III, Lauren J. O'Donnell
Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency. ISBI (2017)
Miaomiao Zhang, William M. Wells III, Polina Golland
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms. Medical Image Anal. 41 (2017)
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
Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. ISBI (2017)
Jenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich
A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. IPMI (2017)
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
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) (2017)
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
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR (2017)
Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama
Misdirected Registration Uncertainty. CoRR (2017)
Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis (2017)
Alireza Mehrtash, Mehran Pesteie, Jorden Hetherington, Peter A. Behringer, Tina Kapur, William M. Wells III, Robert Rohling, Andriy Fedorov, Purang Abolmaesumi
DeepInfer: open-source deep learning deployment toolkit for image-guided therapy. Medical Imaging: Image-Guided Procedures (2017)
William M. Wells III
Medical Image Analysis - past, present, and future. Medical Image Anal. 33 (2016)
Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Raúl San José Estépar, Michael H. Cho, William M. Wells III
Inferring Disease Status by Non-parametric Probabilistic Embedding. MCV/BAMBI@MICCAI (2016)
Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
Group-wise parcellation of the cortex through multi-scale spectral clustering. NeuroImage 136 (2016)
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
Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. Medical Image Anal. 33 (2016)
Tal Arbel, Manuel Jorge Cardoso, William M. Wells III, Albert C. S. Chung, Doina Precup
Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis. Comput. Vis. Image Underst. 151 (2016)
Nassir Navab, Alejandro F. Frangi, William M. Wells III, Andreas K. Maier
Editorial for the Special Issue on MICCAI 2015. Medical Image Anal. 34 (2016)
Matthew Toews, William M. Wells III
How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features. ISBI (2016)
Miaomiao Zhang, William M. Wells III, Polina Golland
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations. MICCAI (3) (2016)
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
Open-source image registration for MRI-TRUS fusion-guided prostate interventions. Int. J. Comput. Assist. Radiol. Surg. 10 (6) (2015)
Tassilo Klein, William M. Wells III
RF Ultrasound Distribution-Based Confidence Maps. MICCAI (2) (2015)
Clare B. Poynton, Mark Jenkinson, Elfar Adalsteinsson, Edith V. Sullivan, Adolf Pfefferbaum, William M. Wells III
Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging. IEEE Trans. Medical Imaging 34 (1) (2015)
Frank Preiswerk, Matthew Toews, William Scott Hoge, Jr-yuan George Chiou, Lawrence P. Panych, William M. Wells III, Bruno Madore
Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion. MICCAI (1) (2015)
Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland
Keypoint Transfer Segmentation. IPMI (2015)
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. CoRR (2015)
Matthew Toews, Christian Wachinger, Raúl San José Estépar, William M. Wells III
A Feature-Based Approach to Big Data Analysis of Medical Images. IPMI (2015)
Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex. IPMI (2015)
Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III
Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR (2014)
Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios
Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs. Medical Image Anal. 18 (4) (2014)
Christian Wachinger, Polina Golland, Martin Reuter, William M. Wells III
Gaussian Process Interpolation for Uncertainty Estimation in Image Registration. MICCAI (1) (2014)
Andriy Fedorov, William M. Wells III, Ron Kikinis, Clare M. Tempany, Mark G. Vangel
Application of Tolerance Limits to the Characterization of Image Registration Performance. IEEE Trans. Medical Imaging 33 (7) (2014)
Demian Wassermann, James C. Ross, George R. Washko, William M. Wells III, Raúl San José Estépar
Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields. CVPR (2014)

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Publication Activity (10 Years)

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William M. Wells III