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papers

Publications (23)

cs.CV2015

Parametric Regression on the Grassmannian

Yi Hong, Nikhil Singh, Roland Kwitt +2

cs.SI2017

Compressing networks with super nodes

Natalie Stanley, Roland Kwitt, Marc Niethammer +1

cs.SI2018

Testing Alignment of Node Attributes with Network Structure Through Label Propagation

Natalie Stanley, Marc Niethammer, Peter J. Mucha

cs.CV2017

Fast Predictive Simple Geodesic Regression

Zhipeng Ding, Greg Fleishman, Xiao Yang +3

cs.CV2017

AGA: Attribute Guided Augmentation

Mandar Dixit, Roland Kwitt, Marc Niethammer +1

cs.CV2017

Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

Xiao Yang, Roland Kwitt, Martin Styner +1

cs.CV2017

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

Emilie Gerardin, Gaël Chételat, Marie Chupin +9

cs.SI2018

Stochastic Block Models with Multiple Continuous Attributes

Natalie Stanley, Thomas Bonacci, Roland Kwitt +2

cs.CV2017

Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach

Xu Han, Xiao Yang, Stephen Aylward +2

cs.CV2019

Networks for Joint Affine and Non-parametric Image Registration

Zhengyang Shen, Xu Han, Zhenlin Xu +1

cs.CV2019

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

Zhenlin Xu, Marc Niethammer

cs.CV2015

Multi-modal Image Registration for Correlative Microscopy

Tian Cao, Christopher Zach, Shannon Modla +3

cs.CV2019

Metric Learning for Image Registration

Marc Niethammer, Roland Kwitt, Francois-Xavier Vialard

cs.CV2018

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

Heather D. Couture, J. S. Marron, Charles M. Perou +2

cs.CV2018

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

Xu Han, Roland Kwitt, Stephen Aylward +6

cs.LG2019

Deep Multi-View Learning via Task-Optimal CCA

Heather D. Couture, Roland Kwitt, J. S. Marron +3

cs.CV2017

Probabilistic Diffeomorphic Registration: Representing Uncertainty

Demian Wassermann, Matt Toews, Marc Niethammer +1

cs.CV2016

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

Marc Niethammer, Kilian M. Pohl, Firdaus Janoos +1

cs.CV2019

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

Zhipeng Ding, Xu Han, Marc Niethammer

cs.CV2018

Deep Learning with Topological Signatures

Christoph Hofer, Roland Kwitt, Marc Niethammer +1

cs.LG2019

Connectivity-Optimized Representation Learning via Persistent Homology

Christoph Hofer, Roland Kwitt, Mandar Dixit +1

cs.CV2017

Fast Predictive Multimodal Image Registration

Xiao Yang, Roland Kwitt, Martin Styner +1

cs.CV2016

Fast Predictive Image Registration

Xiao Yang, Roland Kwitt, Marc Niethammer