Marc Niethammer

Professor

Department of Computer Science, UNC Chapel Hill

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His research is in biomedical image analysis with a particular focus on methods for statistical shape analysis, image segmentation, deformable image registration, and machine learning.

Papers111 papers

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Graph Filtration Learning

Christoph Hofer, Florian Graf,Bastian Rieck,Marc Niethammer,Roland Kwitt

ICML, pp.4314-4323, (2020)

Cited by2EIBibtex

Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis

Samuel Gerber,Marc Niethammer

medical image computing and computer assisted intervention, pp.667-677, (2020)

Bibtex

PIANO: Perfusion Imaging via Advection-Diffusion

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

medical image computing and computer assisted intervention, pp.688-698, (2020)

Bibtex

Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images

Lin Tian,Connor Puett, Peirong Liu,Zhengyang Shen,Stephen R. Aylward,Yueh Z. Lee,Marc Niethammer

medical image computing and computer-assisted intervention, pp.307-317, (2020)

Bibtex

Computational methods for visualizing and measuring verapamil efficacy for cerebral vasospasm

Andrew Abumoussa, Alex Flores, James Ho,Marc Niethammer, Deanna Sasaki-Adams,Yueh Z Lee

Scientific reports, no. 1 (2020): 18780

WOSBibtex

VoteNet++: Registration Refinement for Multi-Atlas Segmentation

Zhipeng Ding,Marc Niethammer

Bibtex

The contribution of hippocampal subfields to the progression of neurodegeneration

Kichang Kwak,Marc Niethammer,Kelly S. Giovanello,Martin Styner,Eran Dayan, for the Alzheimer’s Disease Neuroimaging Initiative

Bibtex

Perfusion Imaging: A Data Assimilation Approach

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

Bibtex

The Fairness-Accuracy Pareto Front

Susan Wei,Marc Niethammer

Bibtex

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

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

MLMI@MICCAI, pp.342-352, (2020)

EIBibtex

Robust and Generalizable Visual Representation Learning via Random Convolutions

Zhenlin Xu,Deyi Liu, Junlin Yang,Marc Niethammer

Bibtex

Anatomical Data Augmentation via Fluid-based Image Registration

Zhengyang Shen,Zhenlin Xu, Sahin Olut,Marc Niethammer

medical image computing and computer assisted intervention, pp.318-328, (2020)

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Adversarial Data Augmentation via Deformation Statistics

Sahin Olut,Zhengyang Shen,Zhenlin Xu,Samuel Gerber,Marc Niethammer

european conference on computer vision, pp.643-659, (2020)

Bibtex

A Shooting Formulation of Deep Learning

François-Xavier Vialard,Roland Kwitt,Susan Wei,Marc Niethammer

NeurIPS, (2020)

EIBibtex

Topologically Densified Distributions

Hofer Christoph D., Graf Florian,Niethammer Marc,Kwitt Roland

ICML, pp.4304-4313, (2020)

EIBibtex

Metric Learning for Image Registration

Marc Niethammer,Roland Kwitt,François-Xavier Vialard

CVPR, (2019): 8463-8472

Cited by17EIWOSBibtex

Stochastic block models with multiple continuous attributes

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

Applied Network Science, no. 1 (2019): 1-22

EIBibtex

Multiseg pipeline - automatic tissue segmentation of brain MR images with subject-specific atlases

Kevin Pham, Xiao Yang,Marc Niethammer, Juan C. Prieto,Martin Styner

Medical Imaging - Biomedical Applications in Molecular, Structural, and Functional Imaging, (2019)

EIWOSBibtex

Joint and individual analysis of breast cancer histologic images and genomic covariates

Carmichael Iain, Calhoun Benjamin C.,Hoadley Katherine A.,Troester Melissa A.,Geradts Joseph, Couture Heather D., Olsson Linnea,Perou Charles M.,Niethammer Marc,Hannig Jan,Marron J. S.

Bibtex

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

Ding Zhipeng, Han Xu,Niethammer Marc

ISBI, pp.363-367, (2019)

EIBibtex

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