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Dissecting Supervised Constrastive Learning


Feb 17, 2021
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt


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Discovering Hidden Physics Behind Transport Dynamics


Nov 24, 2020
Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer


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VoteNet++: Registration Refinement for Multi-Atlas Segmentation


Oct 26, 2020
Zhipeng Ding, Marc Niethammer


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Perfusion Imaging: A Data Assimilation Approach


Sep 06, 2020
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer

* Submitted to IEEE-TMI 2020 

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The Fairness-Accuracy Pareto Front


Aug 25, 2020
Susan Wei, Marc Niethammer


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A Deep Network for Joint Registration and Reconstruction of Images with Pathologies


Aug 17, 2020
Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer


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Local Temperature Scaling for Probability Calibration


Aug 12, 2020
Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer


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Robust and Generalizable Visual Representation Learning via Random Convolutions


Jul 25, 2020
Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer


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Anatomical Data Augmentation via Fluid-based Image Registration


Jul 05, 2020
Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer

* MICCAI 2020 

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A Shooting Formulation of Deep Learning


Jun 18, 2020
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer


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Deep Goal-Oriented Clustering


Jun 16, 2020
Yifeng Shi, Christopher M. Bender, Junier B. Oliva, Marc Niethammer

* 15 pages 

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Topologically Densified Distributions


Feb 12, 2020
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt


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VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation


Nov 01, 2019
Zhipeng Ding, Xu Han, Marc Niethammer


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Deep Message Passing on Sets


Sep 21, 2019
Yifeng Shi, Junier Oliva, Marc Niethammer

* 11 pages, 8 figures 

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Deep Multi-View Learning via Task-Optimal CCA


Jul 17, 2019
Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa Troester, Charles M. Perou, Marc Niethammer


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Connectivity-Optimized Representation Learning via Persistent Homology


Jun 21, 2019
Christoph Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer


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Region-specific Diffeomorphic Metric Mapping


Jun 01, 2019
Zhengyang Shen, François-Xavier Vialard, Marc Niethammer


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VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation


May 31, 2019
Zhipeng Ding, Xu Han, Marc Niethammer


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Graph Filtration Learning


May 27, 2019
Christoph Hofer, Roland Kwitt, Marc Niethammer


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Metric Learning for Image Registration


Apr 21, 2019
Marc Niethammer, Roland Kwitt, Francois-Xavier Vialard

* 12 pages 

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DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation


Apr 17, 2019
Zhenlin Xu, Marc Niethammer


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Networks for Joint Affine and Non-parametric Image Registration


Mar 21, 2019
Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer

* Accepted to CVPR 2019 

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Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology


Jun 13, 2018
Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer


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Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach


Apr 30, 2018
Xu Han, Roland Kwitt, Stephen Aylward, Spyridon Bakas, Bjoern Menze, Alexander Asturias, Paul Vespa, John Van Horn, Marc Niethammer


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Stochastic Block Models with Multiple Continuous Attributes


Mar 07, 2018
Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha


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Deep Learning with Topological Signatures


Feb 16, 2018
Christoph Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl


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Fast Predictive Simple Geodesic Regression


Nov 15, 2017
Zhipeng Ding, Greg Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer

* 19 pages, 10 figures, 13 tables 

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