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Picture for William M. Wells III

PEP: Parameter Ensembling by Perturbation


Oct 24, 2020
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III

* NeurIPS 2020 

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An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process


Jan 12, 2020
Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells III, Martin Ostermeier, Rebecca Fahrig, Arya Nabavi, Christoph Bert, Ilker Eyupoglo, Andreas Maier


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Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation


Nov 29, 2019
Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur


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Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery


Aug 21, 2019
Jie Luo, Alexandra Golby, Masashi Sugiyama, William M. Wells III, Sarah Frisken

* Draft Ver.1 

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Deep Information Theoretic Registration


Dec 31, 2018
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III


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Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study


Nov 28, 2018
Guoxin Fan, Huaqing Liu, Zhenhua Wu, Yufeng Li, Chaobo Feng, Dongdong Wang, Jie Luo, Xiaofei Guan, William M. Wells III, Shisheng He

* 11 pages, 5 figures 

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Semi-Supervised Deep Metrics for Image Registration


Apr 04, 2018
Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III

* Under Review for MICCAI 2018 

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On the Ambiguity of Registration Uncertainty


Mar 20, 2018
Jie Luo, Sarah Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matt Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra Golby, Masashi Sugiyama, William M. Wells III

* arXiv admin note: text overlap with arXiv:1704.08121 

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A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation


Mar 20, 2018
Jie Luo, Matt Toews, Ines Machado, Sarah Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra Golby, Masashi Sugiyama, William M. Wells III


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Misdirected Registration Uncertainty


May 17, 2017
Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama

* raw version 

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Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation


Feb 25, 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

* Medical Image Computing and Computer-Assisted Intervention 2017, Vol 10435, 516-524 
* 8 pages, 3 figures 

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Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models


Oct 04, 2016
Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III


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Markov Random Field Segmentation of Brain MR Images


Mar 18, 2009
Karsten Held, Elena Rota Kops, Bernd J. Krause, William M. Wells III, Ron Kikinis, Hans-Wilhelm Mueller-Gaertner

* IEEE Trans. Med. Imag. vol. 16, p. 878 (1997) 
* 34 pages, 10 figures; the paper (published in 1997) has introduced the concept of Markov random field to the segmentation of medical MR images. For the published version see http://dx.doi.org/10.1109/42.650883 

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