Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWilliam M. Wells III
Person information
- affiliation: Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory
- affiliation: Harvard Medical School, Department of Radiology
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 1993
[b1]William M. Wells III:
Statistical object recognition. Massachusetts Institute of Technology, Cambridge, MA, USA, 1993
Journal Articles
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2016
- [j40]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: 1-2 (2016) - [j39]William M. Wells III:
Medical Image Analysis - past, present, and future. Medical Image Anal. 33: 4-6 (2016) - [j38]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: 176-180 (2016) - [j37]Nassir Navab, Alejandro F. Frangi, William M. Wells III, Andreas K. Maier:
Editorial for the Special Issue on MICCAI 2015. Medical Image Anal. 34: 1-2 (2016) - [j36]Padmavathi Sundaram, Aapo Nummenmaa, William M. Wells III, Darren Orbach, Daniel A. Orringer, Robert V. Mulkern, Yoshio Okada:
Direct neural current imaging in an intact cerebellum with magnetic resonance imaging. NeuroImage 132: 477-490 (2016) - [j35]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: 68-83 (2016) - 2015
- [j34]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): 925-934 (2015) - [j33]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): 339-353 (2015) - 2014
- [j32]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): 647-659 (2014) - [j31]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): 1541-1550 (2014) - 2013
- [j30]Matthew Toews, William M. Wells III:
Efficient and robust model-to-image alignment using 3D scale-invariant features. Medical Image Anal. 17(3): 271-282 (2013) - [j29]Petter Risholm, Firdaus Janoos, Isaiah Norton, Alexandra J. Golby, William M. Wells III:
Bayesian characterization of uncertainty in intra-subject non-rigid registration. Medical Image Anal. 17(5): 538-555 (2013) - 2012
- [j28]Lauren J. O'Donnell, Laura Rigolo, Isaiah Norton, William M. Wells III, Carl-Fredrik Westin, Alexandra J. Golby:
fMRI-DTI modeling via landmark distance atlases for prediction and detection of fiber tracts. NeuroImage 60(1): 456-470 (2012) - [j27]Robert J. Cooper, Matteo Caffini, Jay Dubb, Qianqian Fang, Anna Custo, Daisuke Tsuzuki, Bruce Fischl, William M. Wells III, Ippeita Dan, David A. Boas:
Validating atlas-guided DOT: A comparison of diffuse optical tomography informed by atlas and subject-specific anatomies. NeuroImage 62(3): 1999-2006 (2012) - 2010
- [j26]Wanmei Ou, William M. Wells III, Polina Golland:
Combining spatial priors and anatomical information for fMRI detection. Medical Image Anal. 14(3): 318-331 (2010) - [j25]Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland:
Segmentation of image ensembles via latent atlases. Medical Image Anal. 14(5): 654-665 (2010) - [j24]Anna Custo, David A. Boas, Daisuke Tsuzuki, Ippeita Dan, Rickson Mesquita, Bruce Fischl, W. Eric L. Grimson, William M. Wells III:
Anatomical atlas-guided diffuse optical tomography of brain activation. NeuroImage 49(1): 561-567 (2010) - [j23]Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel:
Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage 49(3): 2318-2327 (2010) - 2008
- [j22]Mahnaz Maddah, W. Eric L. Grimson, Simon K. Warfield, William M. Wells III:
A unified framework for clustering and quantitative analysis of white matter fiber tracts. Medical Image Anal. 12(2): 191-202 (2008) - 2007
- [j21]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:
Using the logarithm of odds to define a vector space on probabilistic atlases. Medical Image Anal. 11(5): 465-477 (2007) - [j20]Andrea J. U. Mewes, Lilla Zöllei, Petra S. Hüppi, Heidelise Als, Gloria B. McAnulty, Terrie E. Inder, William M. Wells III, Simon K. Warfield:
Displacement of brain regions in preterm infants with non-synostotic dolichocephaly investigated by MRI. NeuroImage 36(4): 1074-1085 (2007) - [j19]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:
A Hierarchical Algorithm for MR Brain Image Parcellation. IEEE Trans. Medical Imaging 26(9): 1201-1212 (2007) - 2006
- [j18]Kilian M. Pohl, John W. Fisher III, W. Eric L. Grimson, Ron Kikinis, William M. Wells III:
A Bayesian model for joint segmentation and registration. NeuroImage 31(1): 228-239 (2006) - [j17]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:
Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI. NeuroImage 32(3): 1205-1215 (2006) - 2005
- [j16]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:
Capturing intraoperative deformations: research experience at Brigham and Women's hospital. Medical Image Anal. 9(2): 145-162 (2005) - [j15]Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky:
An EM algorithm for shape classification based on level sets. Medical Image Anal. 9(5): 491-502 (2005) - 2004
- [j14]Andy Tsai, William M. Wells III, Clare M. Tempany, Eric Grimson, Alan S. Willsky:
Mutual information in coupled multi-shape model for medical image segmentation. Medical Image Anal. 8(4): 429-445 (2004) - [j13]Simon K. Warfield, Kelly H. Zou, William M. Wells III:
Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Medical Imaging 23(7): 903-921 (2004) - 2003
- [j12]Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky:
A Shape-Based Approach to the Segmentation of Medical Imagery Using Level Sets. IEEE Trans. Medical Imaging 22(2): 137-154 (2003) - 2000
- [j11]Aparna Lakshmi Ratan, W. Eric L. Grimson, William M. Wells III:
Object Detection and Localization by Dynamic Template Warping. Int. J. Comput. Vis. 36(2): 131-147 (2000) - 1997
- [j10]William M. Wells III:
Statistical Approaches to Feature-Based Object Recognition. Int. J. Comput. Vis. 21(1-2): 63-98 (1997) - [j9]Paul A. Viola, William M. Wells III:
Alignment by Maximization of Mutual Information. Int. J. Comput. Vis. 24(2): 137-154 (1997) - [j8]W. Eric L. Grimson, Tina Kapur, Gil J. Ettinger, Michael E. Leventon, William M. Wells III, Ron Kikinis:
Utilizing Segmented MRI Data in Image-Guided Surgery. Int. J. Pattern Recognit. Artif. Intell. 11(8): 1367-1397 (1997) - [j7]Karsten Held, Elena Rota Kops, Bernd J. Krause, William M. Wells III, Ron Kikinis, Hans-W. Müller-Gärtner:
Markov Random Field Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 16(6): 878-886 (1997) - 1996
- [j6]William M. Wells III, Paul A. Viola, Hideki Atsumi, Shin Nakajima, Ron Kikinis:
Multi-modal volume registration by maximization of mutual information. Medical Image Anal. 1(1): 35-51 (1996) - [j5]Tina Kapur, W. Eric L. Grimson, William M. Wells III, Ron Kikinis:
Segmentation of brain tissue from magnetic resonance images. Medical Image Anal. 1(2): 109-127 (1996) - [j4]W. Eric L. Grimson, Gil J. Ettinger, Steve J. White, Tomás Lozano-Pérez, William M. Wells III, Ron Kikinis:
An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization. IEEE Trans. Medical Imaging 15(2): 129-140 (1996) - [j3]William M. Wells III, W. Eric L. Grimson, Ron Kikinis, Ferenc A. Jolesz:
Adaptive segmentation of MRI data. IEEE Trans. Medical Imaging 15(4): 429-442 (1996) - 1989
- [j2]William M. Wells III:
Vision estimation of 3-D line segments from motion-a mobile robot vision system. IEEE Trans. Robotics Autom. 5(6): 820-825 (1989) - 1986
- [j1]William M. Wells III:
Efficient Synthesis of Gaussian Filters by Cascaded Uniform Filters. IEEE Trans. Pattern Anal. Mach. Intell. 8(2): 234-239 (1986)
Conference and Workshop Papers
- 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 - 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 - 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 - 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. Medical Imaging: 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. Medical Imaging: 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 - 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. Medical Imaging: 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. Medical Imaging: Image-Guided Procedures 2019: 1095120 - 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 - 2017
- [c116]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: 170-183 - [c115]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: 774-777 - [c114]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: 796-799 - [c113]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: 101342A - [c112]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: 516-524 - [c111]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: 101351K - 2016
- [c110]Matthew Toews, William M. Wells III:
How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features. ISBI 2016: 847-850 - [c109]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: 49-57 - [c108]Miaomiao Zhang, William M. Wells III, Polina Golland:
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations. MICCAI (3) 2016: 166-173 - 2015
- [c107]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer Segmentation. IPMI 2015: 233-245 - [c106]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: 339-350 - [c105]Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert:
Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex. IPMI 2015: 600-612 - [c104]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: 315-322 - [c103]Tassilo Klein, William M. Wells III:
RF Ultrasound Distribution-Based Confidence Maps. MICCAI (2) 2015: 595-602 - 2014
- [c102]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: 2729-2735 - [c101]Christian Wachinger, Polina Golland, Martin Reuter, William M. Wells III:
Gaussian Process Interpolation for Uncertainty Estimation in Image Registration. MICCAI (1) 2014: 267-274 - [c100]Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III:
Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR 2014: 72-82 - 2013
- [c99]Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios:
Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration. ICCV 2013: 641-648 - [c98]Matthew Toews, Lilla Zöllei, William M. Wells III:
Feature-Based Alignment of Volumetric Multi-modal Images. IPMI 2013: 25-36 - [c97]Birkan Tunç, Alex R. Smith, Demian Wassermann, Xavier Pennec, William M. Wells III, Ragini Verma, Kilian M. Pohl:
Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. IPMI 2013: 730-741 - [c96]Andriy Fedorov, Sang-Eun Song, Tina Kapur, Robert Owen, Emily Neubauer Sugar, Paul Nguyen, William M. Wells III, Clare M. Tempany:
Prototype Design and Phantom Evaluation of a Device for Co-registered MRI/TRUS Imaging of the Prostate. CLIP 2013: 125-133 - [c95]Matthew Toews, Alexandra J. Golby, William M. Wells III:
Inter-slice Correspondence for 2D Ultrasound-Guided Procedures. CLIP 2013: 143-150 - [c94]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:
Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy. MICCAI (3) 2013: 380-387 - [c93]Xinyang Liu, Kemal Tuncali, William M. Wells III, Gary P. Zientara:
Automatic probe artifact detection in MRI-guided cryoablation. Medical Imaging: Image-Guided Procedures 2013: 86712E - 2012
- [c92]Mehdi Moradi, Firdaus Janoos, Andriy Fedorov, Petter Risholm, Tina Kapur, Luciant D. Wolfsberger, Paul L. Nguyen, Clare M. Tempany, William M. Wells III:
Two solutions for registration of ultrasound to MRI for image-guided prostate interventions. EMBC 2012: 1129-1132 - [c91]Xinyang Liu, Kemal Tuncali, William M. Wells III, Paul R. Morrison, Gary P. Zientara:
Fully automatic 3D segmentation of iceball for image-guided cryoablation. EMBC 2012: 2327-2330 - [c90]Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany:
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. MLMI 2012: 19-26 - [c89]Petter Risholm, Firdaus Janoos, Jennifer Pursley, Andriy Fedorov, Clare M. Tempany, Robert A. Cormack, William M. Wells III:
Selection of Optimal Hyper-Parameters for Estimation of Uncertainty in MRI-TRUS Registration of the Prostate. MICCAI (3) 2012: 107-114 - [c88]Lauren J. O'Donnell, William M. Wells III, Alexandra J. Golby, Carl-Fredrik Westin:
Unbiased Groupwise Registration of White Matter Tractography. MICCAI (3) 2012: 123-130 - [c87]Matthew Toews, William M. Wells III, Lilla Zöllei:
A Feature-Based Developmental Model of the Infant Brain in Structural MRI. MICCAI (2) 2012: 204-211 - [c86]Firdaus Janoos, Petter Risholm, William M. Wells III:
Robust non-rigid registration and characterization of uncertainty. MMBIA 2012: 4321-4326 - [c85]Firdaus Janoos, Weichang Li, Niranjan A. Subrahmanya, István Ákos Mórocz, William M. Wells III:
Identification of Recurrent Patterns in the Activation of Brain Networks. NIPS 2012: 683-691 - [c84]Firdaus Janoos, Petter Risholm, William M. Wells III:
Bayesian Characterization of Uncertainty in Multi-modal Image Registration. WBIR 2012: 50-59 - 2011
- [c83]Firdaus Janoos, Shantanu Singh, Raghu Machiraju, William M. Wells III, István Ákos Mórocz:
State-Space Models of Mental Processes from fMRI. IPMI 2011: 588-599 - [c82]Petter Risholm, James C. Ross, George R. Washko, William M. Wells III:
Probabilistic Elastography: Estimating Lung Elasticity. IPMI 2011: 699-710 - [c81]Petter Risholm, Andriy Fedorov, Jennifer Pursley, Kemal Tuncali, Robert A. Cormack, William M. Wells III:
Probabilistic non-rigid registration of prostate images: Modeling and quantifying uncertainty. ISBI 2011: 553-556 - [c80]Petter Risholm, James M. Balter, William M. Wells III:
Estimation of Delivered Dose in Radiotherapy: The Influence of Registration Uncertainty. MICCAI (1) 2011: 548-555 - 2010
- [c79]Matthew Toews, William M. Wells III:
A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images. CVPR Workshops 2010: 111-116 - [c78]Petter Risholm, Steve Pieper, Eigil Samset, William M. Wells III:
Summarizing and Visualizing Uncertainty in Non-rigid Registration. MICCAI (2) 2010: 554-561 - [c77]Petter Risholm, Eigil Samset, William M. Wells III:
Validation of a nonrigid registration framework that accommodates tissue resection. Medical Imaging: Image Processing 2010: 762319 - [c76]Petter Risholm, Eigil Samset, William M. Wells III:
Bayesian Estimation of Deformation and Elastic Parameters in Non-rigid Registration. WBIR 2010: 104-115 - 2009
- [c75]Matthew Toews, William M. Wells III:
SIFT-Rank: Ordinal description for invariant feature correspondence. CVPR 2009: 172-177 - [c74]Lilla Zöllei, William M. Wells III:
On the optimality of mutual information as an image registration objective function. ICIP 2009: 189-192 - [c73]Matthew Toews, William M. Wells III:
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization. IPMI 2009: 435-446 - [c72]Petter Risholm, Eigil Samset, Ion-Florin Talos, William M. Wells III:
A Non-rigid Registration Framework That Accommodates Resection and Retraction. IPMI 2009: 447-458 - [c71]Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel:
Feature-Based Morphometry. MICCAI (1) 2009: 109-116 - [c70]Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland:
Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) 2009: 272-280 - [c69]Clare B. Poynton, Mark Jenkinson, William M. Wells III:
Atlas-Based Improved Prediction of Magnetic Field Inhomogeneity for Distortion Correction of EPI Data. MICCAI (1) 2009: 951-959 - 2008
- [c68]Mahnaz Maddah, Lilla Zöllei, W. Eric L. Grimson, William M. Wells III:
Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution. CVPR Workshops 2008: 1-7 - [c67]Mahnaz Maddah, Lilla Zöllei, W. Eric L. Grimson, Carl-Fredrik Westin, William M. Wells III:
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis. ISBI 2008: 105-108 - [c66]Ender Konukoglu, William M. Wells III, Sébastien Novellas, Nicholas Ayache, Ron Kikinis, Peter M. Black, Kilian M. Pohl:
Monitoring slowly evolving tumors. ISBI 2008: 812-815 - [c65]Clare B. Poynton, Mark Jenkinson, Stephen Whalen, Alexandra J. Golby, William M. Wells III:
Fieldmap-Free Retrospective Registration and Distortion Correction for EPI-Based Functional Imaging. MICCAI (2) 2008: 271-279 - [c64]Mahnaz Maddah, Marek Kubicki, William M. Wells III, Carl-Fredrik Westin, Martha Elizabeth Shenton, W. Eric L. Grimson:
Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis. MICCAI (1) 2008: 917-924 - 2007
- [c63]Kilian M. Pohl, Ron Kikinis, William M. Wells III:
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework. IPMI 2007: 26-37 - [c62]Mahnaz Maddah, William M. Wells III, Simon K. Warfield, Carl-Fredrik Westin, W. Eric L. Grimson:
Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts. IPMI 2007: 372-383 - [c61]Lilla Zöllei, Mark Jenkinson, Samson J. Timoner, William M. Wells III:
A Marginalized MAP Approach and EM Optimization for Pair-Wise Registration. IPMI 2007: 662-674 - [c60]Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky:
MCMC Curve Sampling for Image Segmentation. MICCAI (2) 2007: 477-485 - 2006
- [c59]James P. O'Shea, William M. Wells III, Alexandra J. Golby:
Using surface normals to localize subdural intracranial electrodes placed during neurosurgery. ISBI 2006: 331-334 - [c58]Simon K. Warfield, Kelly H. Zou, William M. Wells III:
Validation of Image Segmentation by Estimating Rater Bias and Variance. MICCAI (2) 2006: 839-847 - [c57]Kilian M. Pohl, John W. Fisher III, Martha Elizabeth Shenton, Robert W. McCarley, W. Eric L. Grimson, Ron Kikinis, William M. Wells III:
Logarithm Odds Maps for Shape Representation. MICCAI (2) 2006: 955-963 - [c56]Lilla Zöllei, William M. Wells III:
Multi-modal Image Registration Using Dirichlet-Encoded Prior Information. WBIR 2006: 34-42 - 2005
- [c55]Lilla Zöllei, Erik G. Learned-Miller, W. Eric L. Grimson, William M. Wells III:
Efficient Population Registration of 3D Data. CVBIA 2005: 291-301 - [c54]Kilian M. Pohl, John W. Fisher III, Ron Kikinis, W. Eric L. Grimson, William M. Wells III:
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images. CVBIA 2005: 489-498 - [c53]Eric R. Cosman Jr., William M. Wells III:
Bayesian Population Modeling of Effective Connectivity. IPMI 2005: 39-51 - [c52]Kilian M. Pohl, John W. Fisher III, James J. Levitt, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, William M. Wells III:
A Unifying Approach to Registration, Segmentation, and Intensity Correction. MICCAI 2005: 310-318 - [c51]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:
Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation. MICCAI 2005: 506-514 - 2004
- [c50]Albert C. S. Chung, Ho-Ming Chan, Simon C. H. Yu, William M. Wells III:
2D-3D Vascular Registration Between Digital Subtraction Angiographic (DSA) And Magnetic Resonance Angiographic (MRA) Images. ISBI 2004: 708-711 - [c49]Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky:
Level Set Methods in an EM Framework for Shape Classification and Estimation. MICCAI (1) 2004: 1-9 - [c48]Kilian M. Pohl, Simon K. Warfield, Ron Kikinis, W. Eric L. Grimson, William M. Wells III:
Coupling Statistical Segmentation and PCA Shape Modeling. MICCAI (1) 2004: 151-159 - [c47]Mahnaz Maddah, Kelly H. Zou, William M. Wells III, Ron Kikinis, Simon K. Warfield:
Automatic Optimization of Segmentation Algorithms Through Simultaneous Truth and Performance Level Estimation (STAPLE). MICCAI (1) 2004: 274-282 - [c46]Rui Gan, Jue Wu, Albert C. S. Chung, Simon C. H. Yu, William M. Wells III:
Multiresolution Image Registration Based on Kullback-Leibler Distance. MICCAI (1) 2004: 599-606 - [c45]Eric R. Cosman Jr., John W. Fisher III, William M. Wells III:
Exact MAP Activity Detection in f MRI Using a GLM with an Ising Spatial Prior. MICCAI (2) 2004: 703-710 - [c44]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:
A Prospective Multi-institutional Study of the Reproducibility of fMRI: A Preliminary Report from the Biomedical Informatics Research Network. MICCAI (2) 2004: 769-776 - 2003
- [c43]Ho-Ming Chan, Albert C. S. Chung, Simon C. H. Yu, Alexander Norbash, William M. Wells III:
Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms. CVPR (2) 2003: 570-578 - [c42]Ayres C. Fan, William M. Wells III, John W. Fisher III, Müjdat Çetin, Steven Haker, Robert V. Mulkern, Clare M. Tempany, Alan S. Willsky:
A Unified Variational Approach to Denoising and Bias Correction in MR. IPMI 2003: 148-159 - [c41]Andy Tsai, William M. Wells III, Clare M. Tempany, W. Eric L. Grimson, Alan S. Willsky:
Coupled Multi-shape Model and Mutual Information for Medical Image Segmentation. IPMI 2003: 185-197 - [c40]Lilla Zöllei, John W. Fisher III, William M. Wells III:
A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration. IPMI 2003: 366-377 - [c39]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:
Capturing Brain Deformation. IS4TH 2003: 203-217 - [c38]James Ellsmere, Jeffrey A. Stoll, David W. Rattner, David Brooks, Robert Kane, William M. Wells III, Ron Kikinis, Kirby G. Vosburgh:
A Navigation System for Augmenting Laparoscopic Ultrasound. MICCAI (2) 2003: 184-191 - [c37]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:
Diffusion Tensor and Functional MRI Fusion with Anatomical MRI for Image-Guided Neurosurgery. MICCAI (1) 2003: 407-415 - [c36]Lilla Zöllei, Lawrence P. Panych, W. Eric L. Grimson, William M. Wells III:
Exploratory Identification of Cardiac Noise in fMRI Images. MICCAI (1) 2003: 475-482 - [c35]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:
Augmenting intraoperative MRI with preoperative fMRI and DTI by biomechanical simulation of brain deformation. Medical Imaging: Image-Guided Procedures 2003 - [c34]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:
Holographic Video Display of Time-Series Volumetric Medical Data. IEEE Visualization 2003: 589-596 - [c33]Salil Soman, Albert C. S. Chung, W. Eric L. Grimson, William M. Wells III:
Rigid Registration of Echoplanar and Conventional Magnetic Resonance Images by Minimizing the Kullback-Leibler Distance. WBIR 2003: 181-190 - [c32]Gjenna Stippel, James Ellsmere, Simon K. Warfield, William M. Wells III, Wilfried Philips:
A New Technique for Multi-modal 3D Image Registration. WBIR 2003: 244-253 - 2002
- [c31]Simon K. Warfield, Kelly H. Zou, Michael Kaus, William M. Wells III:
Simultaneous validation of image segmentation and assessment of expert quality [tumor MRI application]. ISBI 2002: 94-97 - [c30]Simon K. Warfield, Kelly H. Zou, William M. Wells III:
Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm. MICCAI (1) 2002: 298-306 - [c29]Kelly H. Zou, William M. Wells III, Michael Kaus, Ron Kikinis, Ferenc A. Jolesz, Simon K. Warfield:
Statistical Validation of Automated Probabilistic Segmentation against Composite Latent Expert Ground Truth in MR Imaging of Brain Tumors. MICCAI (1) 2002: 315-322 - [c28]Samson J. Timoner, Polina Golland, Ron Kikinis, Martha Elizabeth Shenton, W. Eric L. Grimson, William M. Wells III:
Performance Issues in Shape Classification. MICCAI (1) 2002: 355-362 - [c27]Albert C. S. Chung, William M. Wells III, Alexander Norbash, W. Eric L. Grimson:
Multi-modal Image Registration by Minimising Kullback-Leibler Distance. MICCAI (2) 2002: 525-532 - [c26]Kilian M. Pohl, William M. Wells III, Alexandre Guimond, Kiyoto Kasai, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, Simon K. Warfield:
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images. MICCAI (1) 2002: 564-571 - [c25]Delphine Nain, Steven Haker, W. Eric L. Grimson, Eric R. Cosman Jr., William M. Wells III, Hoon Ji, Ron Kikinis, Carl-Fredrik Westin:
Intra-patient Prone to Supine Colon Registration for Synchronized Virtual Colonoscopy. MICCAI (2) 2002: 573-580 - 2001
- [c24]Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky:
Model-Based Curve Evolution Technique for Image Segmentation. CVPR (1) 2001: 463-468 - [c23]Lilla Zöllei, W. Eric L. Grimson, Alexander Norbash, William M. Wells III:
2D-3D Rigid Registration of X-Ray Fluoroscopy and CT Images Using Mutual Information and Sparsely Sampled Histogram Estimators. CVPR (2) 2001: 696-703 - [c22]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:
A Binary Entropy Measure to Assess Nonrigid Registration Algorithms. MICCAI 2001: 266-274 - [c21]John W. Fisher III, Eric R. Cosman Jr., Cindy Wible, William M. Wells III:
Adaptive Entropy Rates for f MRI Time-Series Analysis. MICCAI 2001: 905-912 - [c20]Samson J. Timoner, W. Eric L. Grimson, Ron Kikinis, William M. Wells III:
Fast Linear Elastic Matching Without Landmarks. MICCAI 2001: 1358-1360 - 2000
- [c19]Michael Kaus, Arya Nabavi, C. T. Mamisch, William M. Wells III, Ferenc A. Jolesz, Ron Kikinis, Simon K. Warfield:
Simulation of Corticospinal Tract Displacement in Patients with Brain Tumors. MICCAI 2000: 9-18 - [c18]Junmo Kim, John W. Fisher III, Andy Tsai, Cindy Wible, Alan S. Willsky, William M. Wells III:
Incorporating Spatial Priors into an Information Theoretic Approach for fMRI Data Analysis. MICCAI 2000: 62-71 - 1999
- [c17]Andy Tsai, John W. Fisher III, Cindy Wible, William M. Wells III, Junmo Kim, Alan S. Willsky:
Analysis of Functional MRI Data Using Mutual Information. MICCAI 1999: 473-480 - [c16]David T. Gering, Arya Nabavi, Ron Kikinis, W. Eric L. Grimson, Nobuhiko Hata, Peter Everett, Ferenc A. Jolesz, William M. Wells III:
An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging. MICCAI 1999: 809-819 - [c15]Nobuhiko Hata, Arya Nabavi, Simon K. Warfield, William M. Wells III, Ron Kikinis, Ferenc A. Jolesz:
A Volumetric Optical Flow Method for Measurement of Brain Deformation from Intraoperative Magnetic Resonance Images. MICCAI 1999: 928-935 - 1998
- [c14]Aparna Lakshmi Ratan, W. Eric L. Grimson, William M. Wells III:
Object Detection and Localization by Dynamic Template Warping. CVPR 1998: 634-640 - [c13]Tina Kapur, W. Eric L. Grimson, Ron Kikinis, William M. Wells III:
Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery. MICCAI 1998: 457-468 - [c12]Nobuhiko Hata, Takeyoshi Dohi, Simon K. Warfield, William M. Wells III, Ron Kikinis, Ferenc A. Jolesz:
Multimodality Deformable Registration of Pre- and Intraoperative Images for MRI-guided Brain Surgery. MICCAI 1998: 1067-1074 - 1997
- [c11]Jeffrey W. Berger, Michael E. Leventon, Nobuhiko Hata, William M. Wells III, Ron Kikinis:
Design considerations for a computer-vision-enabled ophthalmic augmented reality environment. CVRMed 1997: 399-408 - 1996
- [c10]Nobuhiko Hata, William M. Wells III, Michael Halle, Shin Nakajima, Paul A. Viola, Ron Kikinis, Ferenc A. Jolesz:
Image Guided Microscopic Surgery System Using Mutual-Information Based Registraion. VBC 1996: 317-326 - 1995
- [c9]W. Eric L. Grimson, Gil J. Ettinger, Steve J. White, P. Langham Gleason, Tomás Lozano-Pérez, William M. Wells III, Ron Kikinis:
Evaluating and Validating an Automated Registration System for Enhanced Reality Visualization in Surgery. CVRMed 1995: 3-12 - [c8]William M. Wells III, W. Eric L. Grimson, Ron Kikinis, Ferenc A. Jolesz:
Adaptive Segmentation of MRI Data. CVRMed 1995: 59-69 - [c7]Paul A. Viola, William M. Wells III:
Alignment by Maximization of Mutual Information . ICCV 1995: 16-23 - 1994
- [c6]W. Eric L. Grimson, Tomás Lozano-Pérez, Steve J. White, William M. Wells III, Ron Kikinis, Gil J. Ettinger:
An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization. CVPR 1994: 430-436 - [c5]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:
Image guidance techniques for neurosurgery. VBC 1994 - [c4]William M. Wells III, W. Eric L. Grimson, Ron Kikinis, Ferenc A. Jolesz:
Statistical intensity correction and segmentation of MRI data. VBC 1994 - 1991
- [c3]William M. Wells III:
MAP model matching. CVPR 1991: 486-492 - 1990
- [c2]Murali M. Menon, William M. Wells III:
Massively parallel image restoration. IJCNN 1990: 511-516 - 1987
- [c1]William M. Wells III:
Visual Estimation of 3-D Line Segments from Motion - A Mobile Robot Vision System. AAAI 1987: 772-777
Editorship
- 2022
- [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] - 2021
- [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] - 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] - 2019
- [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] - 2017
- [e9]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:
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. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - 2016
- [e8]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9900, 2016, ISBN 978-3-319-46719-1 [contents] - [e7]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9901, 2016, ISBN 978-3-319-46722-1 [contents] - [e6]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9902, 2016, ISBN 978-3-319-46725-2 [contents] - 2015
- [e5]Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9349, Springer 2015, ISBN 978-3-319-24552-2 [contents] - [e4]Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9350, Springer 2015, ISBN 978-3-319-24570-6 [contents] - [e3]Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9351, Springer 2015, ISBN 978-3-319-24573-7 [contents] - 2013
- [e2]James C. Gee, Sarang C. Joshi, Kilian M. Pohl, William M. Wells III, Lilla Zöllei:
Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28-July 3, 2013. Proceedings. Lecture Notes in Computer Science 7917, Springer 2013, ISBN 978-3-642-38867-5 [contents] - 1998
- [e1]William M. Wells III, Alan C. F. Colchester, Scott L. Delp:
Medical Image Computing and Computer-Assisted Intervention - MICCAI'98, First International Conference, Cambridge, MA, USA, October 11-13, 1998, Proceedings. Lecture Notes in Computer Science 1496, Springer 1998, ISBN 3-540-65136-5 [contents]
Informal and Other Publications
- 2024
- [i38]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) - 2023
- [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
- [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
- [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
- [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) - 2019
- [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
- [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
- [i6]Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III:
Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR abs/1701.03266 (2017) - [i5]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 abs/1702.07841 (2017) - [i4]Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama:
Misdirected Registration Uncertainty. CoRR abs/1704.08121 (2017) - 2015
- [i3]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 abs/1501.05680 (2015) - 2013
- [i2]Jan Egger, Junichi Tokuda, Laurent Chauvin, Bernd Freisleben, Christopher Nimsky, Tina Kapur, William M. Wells III:
Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab. CoRR abs/1309.1863 (2013) - 2009
- [i1]Karsten Held, Elena Rota Kops, Bernd J. Krause, William M. Wells III, Ron Kikinis, Hans-W. Müller-Gärtner:
Markov Random Field Segmentation of Brain MR Images. CoRR abs/0903.3114 (2009)
Coauthor Index
W. Eric L. Grimson
aka: Eric Grimson
aka: Eric Grimson
Lauren O'Donnell
aka: Lauren J. O'Donnell
aka: Lauren J. O'Donnell
Simon K. Warfield
aka: Simon Keith Warfield
aka: Simon Keith Warfield
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-02-21 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
