Marc Niethammer

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 147

Top Venues

CoRR

ISBI

Medical Image Anal.

CVPR

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Boqi Chen, Marc Niethammer
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities. MICCAI (10) (2023)
Lin Tian, Zi Li, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Dakai Jin
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation. CoRR (2023)
Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim, Joseph Piven, Stephen R. Dager, Martin Styner, Stephen R. Aylward, Andinet Enquobahrie
Optimal transport features for morphometric population analysis. Medical Image Anal. 84 (2023)
Nurislam Tursynbek, Marc Niethammer
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. MICCAI (1) (2023)
Mykhailo Shvets, Dongxu Zhao, Marc Niethammer, Roni Sengupta, Alexander C. Berg
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM. CoRR (2023)
Lin Tian, Soumyadip Sengupta, Hastings Greer, Raúl San José Estépar, Marc Niethammer
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration. CoRR (2023)
Chun-Hung Chao, Marc Niethammer
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-Subject Consistency Objectives. PRIME@MICCAI (2023)
Yining Jiao, Carlton J. Zdanski, Julia S. Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Marc Niethammer
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation. CoRR (2023)
Chun-Hung Chao, Marc Niethammer
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-subject Consistency Objectives. CoRR (2023)
Yifeng Shi, Marc Niethammer
Multimodal Understanding Through Correlation Maximization and Minimization. CoRR (2023)
Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard Rushmore, Marc Niethammer
Inverse Consistency by Construction for Multistep Deep Registration. CoRR (2023)
Boqi Chen, Marc Niethammer
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities. CoRR (2023)
Nurislam Tursynbek, Marc Niethammer
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. CoRR (2023)
Qin Liu, Meng Zheng, Benjamin Planche, Zhongpai Gao, Terrence Chen, Marc Niethammer, Ziyan Wu
Exploring Cycle Consistency Learning in Interactive Volume Segmentation. CoRR (2023)
Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard J. Rushmore, Marc Niethammer
Inverse Consistency by Construction for Multistep Deep Registration. MICCAI (10) (2023)
T. Osika, Ebrahim Ebrahim, Martin Styner, Marc Niethammer, T. Sawyer, Andinet Enquobahrie
Harmonization Benchmarking Tool for Neuroimaging Datasets. ISBI (2023)
Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. CVPR (2023)
Christopher M. Bender, Yifeng Shi, Marc Niethammer, Junier Oliva
Continuously Parameterized Mixture Models. ICML (2023)
Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. ICCV (2023)
Zhipeng Ding, Marc Niethammer
Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment. CoRR (2022)
Susan Wei, Marc Niethammer
The fairness-accuracy Pareto front. Stat. Anal. Data Min. 15 (3) (2022)
Lin Tian, Yueh Z. Lee, Raúl San José Estépar, Marc Niethammer
LiftReg: Limited Angle 2D/3D Deformable Registration. MICCAI (6) (2022)
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
Deep Decomposition for Stochastic Normal-Abnormal Transport. CVPR (2022)
Lin Tian, Yueh Z. Lee, Raúl San José Estépar, Marc Niethammer
LiftReg: Limited Angle 2D/3D Deformable Registration. CoRR (2022)
Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. CoRR (2022)
Zhipeng Ding, Marc Niethammer
Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment. CVPR (2022)
Zhenlin Xu, Marc Niethammer, Colin Raffel
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. NeurIPS (2022)
Florian Graf, Sebastian Zeng, Marc Niethammer, Roland Kwitt
On Measuring Excess Capacity in Neural Networks. CoRR (2022)
Chao Huang, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li, Daniel Nissman, Amanda Nelson, Yvonne Golightly, Marc Niethammer, Hongtu Zhu
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. Medical Image Anal. 77 (2022)
Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu
PseudoClick: Interactive Image Segmentation with Click Imitation. CoRR (2022)
Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
Fluid registration between lung CT and stationary chest tomosynthesis images. CoRR (2022)
Qin Liu, Zhenlin Xu, Yining Jiao, Marc Niethammer
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images. MICCAI (5) (2022)
Yehuda K. Ben-Zikri, María Helguera, David Fetzer, David A. Shrier, Stephen R. Aylward, Deepak Chittajallu, Marc Niethammer, Nathan D. Cahill, Cristian A. Linte
A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10 (5) (2022)
Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu
PseudoClick: Interactive Image Segmentation with Click Imitation. ECCV (6) (2022)
Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt
On Measuring Excess Capacity in Neural Networks. NeurIPS (2022)
Zhenlin Xu, Marc Niethammer, Colin Raffel
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. CoRR (2022)
Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim, Joseph Piven, Stephen R. Dager, Martin Styner, Stephen R. Aylward, Andinet Enquobahrie
Optimal Transport Features for Morphometric Population Analysis. CoRR (2022)
Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. CoRR (2022)
Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
Discovering Hidden Physics Behind Transport Dynamics. CVPR (2021)
Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer
Robust and Generalizable Visual Representation Learning via Random Convolutions. ICLR (2021)
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
Perfusion Imaging: An Advection Diffusion Approach. IEEE Trans. Medical Imaging 40 (12) (2021)
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
Dissecting Supervised Constrastive Learning. ICML (2021)
Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer
Accurate Point Cloud Registration with Robust Optimal Transport. NeurIPS (2021)
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
Dissecting Supervised Constrastive Learning. CoRR (2021)
Zhipeng Ding, Marc Niethammer
Votenet++: Registration Refinement For Multi-Atlas Segmentation. ISBI (2021)
Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer
Accurate Point Cloud Registration with Robust Optimal Transport. CoRR (2021)
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
Deep Decomposition for Stochastic Normal-Abnormal Transport. CoRR (2021)
Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer
ICON: Learning Regular Maps Through Inverse Consistency. ICCV (2021)
Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer
ICON: Learning Regular Maps Through Inverse Consistency. CoRR (2021)
Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer
Local Temperature Scaling for Probability Calibration. ICCV (2021)
Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images. MICCAI (3) (2020)
Zhipeng Ding, Xu Han, Marc Niethammer
Votenet +: An Improved Deep Learning Label Fusion Method for Multi-Atlas Segmentation. ISBI (2020)
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
Topologically Densified Distributions. ICML (2020)
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
PIANO: Perfusion Imaging via Advection-Diffusion. MICCAI (7) (2020)
Susan Wei, Marc Niethammer
The Fairness-Accuracy Pareto Front. CoRR (2020)
Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer
Local Temperature Scaling for Probability Calibration. CoRR (2020)
Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer
Anatomical Data Augmentation via Fluid-Based Image Registration. MICCAI (3) (2020)
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
Topologically Densified Distributions. CoRR (2020)
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer
A Shooting Formulation of Deep Learning. CoRR (2020)
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
Perfusion Imaging: A Data Assimilation Approach. CoRR (2020)
Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
Discovering Hidden Physics Behind Transport Dynamics. CoRR (2020)
Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. MLMI@MICCAI (2020)
Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer
Adversarial Data Augmentation via Deformation Statistics. ECCV (29) (2020)
Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer
Anatomical Data Augmentation via Fluid-based Image Registration. CoRR (2020)
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer
A shooting formulation of deep learning. NeurIPS (2020)
Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. CoRR (2020)
Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt
Graph Filtration Learning. ICML (2020)
Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer
Robust and Generalizable Visual Representation Learning via Random Convolutions. CoRR (2020)
Yifeng Shi, Junier Oliva, Marc Niethammer
Deep Message Passing on Sets. AAAI (2020)
Zhipeng Ding, Marc Niethammer
VoteNet++: Registration Refinement for Multi-Atlas Segmentation. CoRR (2020)
Samuel Gerber, Marc Niethammer
Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis. MICCAI (7) (2020)
Yifeng Shi, Christopher M. Bender, Junier B. Oliva, Marc Niethammer
Deep Goal-Oriented Clustering. CoRR (2020)
Brad T. Moore, Sean Montgomery, Marc Niethammer, Hastings Greer, Stephen R. Aylward
Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound. ASMUS/PIPPI@MICCAI (2020)
Zhipeng Ding, Xu Han, Marc Niethammer
VoteNet: A Deep Learning Label Fusion Method for Multi-atlas Segmentation. MICCAI (3) (2019)
Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha
Stochastic block models with multiple continuous attributes. Appl. Netw. Sci. 4 (1) (2019)
Yifeng Shi, Junier Oliva, Marc Niethammer
Deep Message Passing on Sets. CoRR (2019)
Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer
Networks for Joint Affine and Non-Parametric Image Registration. CVPR (2019)
Zhenlin Xu, Marc Niethammer
DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation. MICCAI (2) (2019)
Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa A. Troester, Charles M. Perou, Marc Niethammer
Deep Multi-View Learning via Task-Optimal CCA. CoRR (2019)
Zhipeng Ding, Xu Han, Marc Niethammer
VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation. CoRR (2019)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
Learning Representations of Persistence Barcodes. J. Mach. Learn. Res. 20 (2019)
Christoph D. Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer
Connectivity-Optimized Representation Learning via Persistent Homology. CoRR (2019)
Zhenlin Xu, Marc Niethammer
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation. CoRR (2019)
Zhipeng Ding, Xu Han, Marc Niethammer
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation. CoRR (2019)
Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer
Fast predictive simple geodesic regression. Medical Image Anal. 56 (2019)
Kevin Pham, Xiao Yang, Marc Niethammer, Juan-Carlos Prieto, Martin Styner
Multiseg pipeline: automatic tissue segmentation of brain MR images with subject-specific atlases. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Zhengyang Shen, François-Xavier Vialard, Marc Niethammer
Region-specific Diffeomorphic Metric Mapping. NeurIPS (2019)
Marc Niethammer, Roland Kwitt, François-Xavier Vialard
Metric Learning for Image Registration. CVPR (2019)
Marc Niethammer, Roland Kwitt, François-Xavier Vialard
Metric Learning for Image Registration. CoRR (2019)
Deepak Roy Chittajallu, Matthew McCormick, Samuel Gerber, Tomasz J. Czernuszewicz, Ryan C. Gessner, Monte S. Willis, Marc Niethammer, Roland Kwitt, Stephen R. Aylward
Image-Based Methods for Phase Estimation, Gating, and Temporal Superresolution of Cardiac Ultrasound. IEEE Trans. Biomed. Eng. 66 (1) (2019)
Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer
Networks for Joint Affine and Non-parametric Image Registration. CoRR (2019)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
Graph Filtration Learning. CoRR (2019)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit
Connectivity-Optimized Representation Learning via Persistent Homology. ICML (2019)
Zhengyang Shen, François-Xavier Vialard, Marc Niethammer
Region-specific Diffeomorphic Metric Mapping. CoRR (2019)
Yu Zhao, Hongwei Li, Rong Zhou, Giles Tetteh, Marc Niethammer, Bjoern H. Menze
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. ICPR (2018)
Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology. MICCAI (2) (2018)
Hastings Greer, Samuel Gerber, Marc Niethammer, Roland Kwitt, Matt McCormick, Deepak Roy Chittajallu, Neal Siekierski, Matthew Oetgen, Kevin Cleary, Stephen R. Aylward
Scoliosis screening and monitoring using self contained ultrasound and neural networks. ISBI (2018)
Zhenlin Xu, Zhengyang Shen, Marc Niethammer
Contextual Additive Networks to Efficiently Boost 3D Image Segmentations. DLMIA/ML-CDS@MICCAI (2018)
Xu Han, Spyridon Bakas, Roland Kwitt, Stephen R. Aylward, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans. BrainLes@MICCAI (1) (2018)
Natalie Stanley, Marc Niethammer, Peter J. Mucha
Testing Alignment of Node Attributes with Network Structure Through Label Propagation. CoRR (2018)

Marc Niethammer.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Marc Niethammer