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2020 – today
- 2024
[c149]Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer:
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. CVPR 2024: 3773-3782- [c148]Lin Tian
, Thomas Hastings Greer, Raúl San José Estépar, Roni Sengupta, Marc Niethammer:
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration. ECCV (88) 2024: 213-237 - [c147]Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang, Inbar Fried, Stephen M. Pizer, Marc Niethammer, Roni Sengupta:
Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos. ECCV (32) 2024: 473-491 - [c146]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. ICLR 2024 - [c145]Boqi Chen, Junier Oliva, Marc Niethammer:
A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness. MICCAI (12) 2024: 410-420 - [c144]Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Marc Niethammer:
uniGradICON: A Foundation Model for Medical Image Registration. MICCAI (2) 2024: 749-760 - [c143]Mykhailo Shvets, Dongxu Zhao, Marc Niethammer, Roni Sengupta, Alexander C. Berg:
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM. WACV 2024: 1317-1327 - [c142]Basar Demir, Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Ebrahim Ebrahim, Marc Niethammer:
MultiGradICON: A Foundation Model for Multimodal Medical Image Registration. WBIR 2024: 3-18 - [i70]Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Marc Niethammer:
uniGradICON: A Foundation Model for Medical Image Registration. CoRR abs/2403.05780 (2024) - [i69]Yining Jiao, Amy L. Oldenburg, Yinghan Xu, Srikamal Soundararajan, Carlton J. Zdanski, Julia S. Kimbell, Marc Niethammer:
NeuralOCT: Airway OCT Analysis via Neural Fields. CoRR abs/2403.10622 (2024) - [i68]Boqi Chen, Junier Oliva, Marc Niethammer:
A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness. CoRR abs/2403.12211 (2024) - [i67]Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang, Inbar Fried, Stephen M. Pizer, Marc Niethammer, Roni Sengupta:
Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos. CoRR abs/2403.17915 (2024) - [i66]Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer:
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. CoRR abs/2404.00741 (2024) - [i65]Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer:
CARL: A Framework for Equivariant Image Registration. CoRR abs/2405.16738 (2024) - [i64]Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao:
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR abs/2406.06007 (2024) - [i63]Basar Demir, Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard Jarrett Rushmore, Ebrahim Ebrahim, Marc Niethammer:
multiGradICON: A Foundation Model for Multimodal Medical Image Registration. CoRR abs/2408.00221 (2024) - [i62]Qin Liu, Jianfeng Wang, Zhengyuan Yang, Linjie Li, Kevin Lin, Marc Niethammer, Lijuan Wang:
LiVOS: Light Video Object Segmentation with Gated Linear Matching. CoRR abs/2411.02818 (2024) - 2023
- [j40]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: 102696 (2023) - [c141]Lin Tian, Thomas 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: 18084-18094 - [c140]Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer:
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. ICCV 2023: 22233-22243 - [c139]Christopher M. Bender, Yifeng Shi, Marc Niethammer, Junier Oliva:
Continuously Parameterized Mixture Models. ICML 2023: 2050-2062 - [c138]T. Osika, Ebrahim Ebrahim, Martin Styner, Marc Niethammer, T. Sawyer, Andinet Enquobahrie:
Harmonization Benchmarking Tool for Neuroimaging Datasets. ISBI 2023: 1-5 - [c137]Chun-Hung Chao, Marc Niethammer:
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-Subject Consistency Objectives. PRIME@MICCAI 2023: 70-82 - [c136]Boqi Chen, Marc Niethammer:
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities. MICCAI (10) 2023: 271-281 - [c135]Nurislam Tursynbek, Marc Niethammer:
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. MICCAI (1) 2023: 320-330 - [c134]Thomas 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: 688-698 - [i61]Qin Liu, Meng Zheng, Benjamin Planche, Zhongpai Gao, Terrence Chen, Marc Niethammer, Ziyan Wu:
Exploring Cycle Consistency Learning in Interactive Volume Segmentation. CoRR abs/2303.06493 (2023) - [i60]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 abs/2303.09234 (2023) - [i59]Boqi Chen, Marc Niethammer:
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities. CoRR abs/2303.10249 (2023) - [i58]Nurislam Tursynbek, Marc Niethammer:
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. CoRR abs/2305.00067 (2023) - [i57]Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard Jarrett Rushmore, Marc Niethammer:
Inverse Consistency by Construction for Multistep Deep Registration. CoRR abs/2305.00087 (2023) - [i56]Yifeng Shi, Marc Niethammer:
Multimodal Understanding Through Correlation Maximization and Minimization. CoRR abs/2305.03125 (2023) - [i55]Chun-Hung Chao, Marc Niethammer:
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-subject Consistency Objectives. CoRR abs/2308.04987 (2023) - [i54]Lin Tian, Soumyadip Sengupta, Thomas Hastings Greer, Raúl San José Estépar, Marc Niethammer:
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration. CoRR abs/2309.07322 (2023) - [i53]Mykhailo Shvets, Dongxu Zhao, Marc Niethammer, Roni Sengupta, Alexander C. Berg:
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM. CoRR abs/2311.00134 (2023) - [i52]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 abs/2311.14986 (2023) - 2022
- [j39]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): 521-539 (2022) - [j38]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: 102343 (2022) - [j37]Susan Wei, Marc Niethammer:
The fairness-accuracy Pareto front. Stat. Anal. Data Min. 15(3): 287-302 (2022) - [c133]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Deep Decomposition for Stochastic Normal-Abnormal Transport. CVPR 2022: 18769-18779 - [c132]Zhipeng Ding, Marc Niethammer:
Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment. CVPR 2022: 20752-20761 - [c131]Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu:
PseudoClick: Interactive Image Segmentation with Click Imitation. ECCV (6) 2022: 728-745 - [c130]Lin Tian, Yueh Z. Lee, Raúl San José Estépar, Marc Niethammer:
LiftReg: Limited Angle 2D/3D Deformable Registration. MICCAI (6) 2022: 207-216 - [c129]Qin Liu, Zhenlin Xu, Yining Jiao, Marc Niethammer:
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images. MICCAI (5) 2022: 464-474 - [c128]Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt:
On Measuring Excess Capacity in Neural Networks. NeurIPS 2022 - [c127]Zhenlin Xu, Marc Niethammer, Colin Raffel:
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. NeurIPS 2022 - [i51]Zhipeng Ding, Marc Niethammer:
Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment. CoRR abs/2202.03563 (2022) - [i50]Florian Graf, Sebastian Zeng, Marc Niethammer, Roland Kwitt:
On Measuring Excess Capacity in Neural Networks. CoRR abs/2202.08070 (2022) - [i49]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 abs/2203.04958 (2022) - [i48]Lin Tian, Yueh Z. Lee, Raúl San José Estépar, Marc Niethammer:
LiftReg: Limited Angle 2D/3D Deformable Registration. CoRR abs/2203.05565 (2022) - [i47]Lin Tian, Thomas Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer:
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. CoRR abs/2206.05897 (2022) - [i46]Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu:
PseudoClick: Interactive Image Segmentation with Click Imitation. CoRR abs/2207.05282 (2022) - [i45]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 abs/2208.05891 (2022) - [i44]Zhenlin Xu, Marc Niethammer, Colin Raffel:
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. CoRR abs/2210.00482 (2022) - [i43]Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer:
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. CoRR abs/2210.11006 (2022) - 2021
- [j36]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Perfusion Imaging: An Advection Diffusion Approach. IEEE Trans. Medical Imaging 40(12): 3424-3435 (2021) - [c126]Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer:
Discovering Hidden Physics Behind Transport Dynamics. CVPR 2021: 10082-10092 - [c125]Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer:
ICON: Learning Regular Maps Through Inverse Consistency. ICCV 2021: 3376-3385 - [c124]Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer:
Local Temperature Scaling for Probability Calibration. ICCV 2021: 6869-6879 - [c123]Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer:
Robust and Generalizable Visual Representation Learning via Random Convolutions. ICLR 2021 - [c122]Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt:
Dissecting Supervised Constrastive Learning. ICML 2021: 3821-3830 - [c121]Zhipeng Ding, Marc Niethammer:
Votenet++: Registration Refinement For Multi-Atlas Segmentation. ISBI 2021: 275-279 - [c120]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: 5373-5389 - [i42]Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt:
Dissecting Supervised Constrastive Learning. CoRR abs/2102.08817 (2021) - [i41]Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer:
ICON: Learning Regular Maps Through Inverse Consistency. CoRR abs/2105.04459 (2021) - [i40]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 abs/2111.00648 (2021) - [i39]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Deep Decomposition for Stochastic Normal-Abnormal Transport. CoRR abs/2111.14777 (2021) - 2020
- [c119]Yifeng Shi, Junier Oliva, Marc Niethammer:
Deep Message Passing on Sets. AAAI 2020: 5750-5757 - [c118]Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer:
Adversarial Data Augmentation via Deformation Statistics. ECCV (29) 2020: 643-659 - [c117]Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt:
Topologically Densified Distributions. ICML 2020: 4304-4313 - [c116]Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt:
Graph Filtration Learning. ICML 2020: 4314-4323 - [c115]Zhipeng Ding, Xu Han, Marc Niethammer:
Votenet +: An Improved Deep Learning Label Fusion Method for Multi-Atlas Segmentation. ISBI 2020: 363-367 - [c114]Brad T. Moore, Sean Montgomery, Marc Niethammer, Thomas Hastings Greer, Stephen R. Aylward:
Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound. ASMUS/PIPPI@MICCAI 2020: 23-32 - [c113]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: 307-317 - [c112]Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer:
Anatomical Data Augmentation via Fluid-Based Image Registration. MICCAI (3) 2020: 318-328 - [c111]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: 342-352 - [c110]Samuel Gerber, Marc Niethammer:
Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis. MICCAI (7) 2020: 667-677 - [c109]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
PIANO: Perfusion Imaging via Advection-Diffusion. MICCAI (7) 2020: 688-698 - [c108]François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer:
A shooting formulation of deep learning. NeurIPS 2020 - [i38]Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt:
Topologically Densified Distributions. CoRR abs/2002.04805 (2020) - [i37]Yifeng Shi, Christopher M. Bender, Junier B. Oliva, Marc Niethammer:
Deep Goal-Oriented Clustering. CoRR abs/2006.04259 (2020) - [i36]François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer:
A Shooting Formulation of Deep Learning. CoRR abs/2006.10330 (2020) - [i35]Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer:
Anatomical Data Augmentation via Fluid-based Image Registration. CoRR abs/2007.02447 (2020) - [i34]Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer:
Robust and Generalizable Visual Representation Learning via Random Convolutions. CoRR abs/2007.13003 (2020) - [i33]Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer:
Local Temperature Scaling for Probability Calibration. CoRR abs/2008.05105 (2020) - [i32]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 abs/2008.07628 (2020) - [i31]Susan Wei, Marc Niethammer:
The Fairness-Accuracy Pareto Front. CoRR abs/2008.10797 (2020) - [i30]Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Perfusion Imaging: A Data Assimilation Approach. CoRR abs/2009.02796 (2020) - [i29]Zhipeng Ding, Marc Niethammer:
VoteNet++: Registration Refinement for Multi-Atlas Segmentation. CoRR abs/2010.13484 (2020) - [i28]Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer:
Discovering Hidden Physics Behind Transport Dynamics. CoRR abs/2011.12222 (2020)
2010 – 2019
- 2019
- [j35]Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Stochastic block models with multiple continuous attributes. Appl. Netw. Sci. 4(1): 54:1-54:22 (2019) - [j34]Christoph D. Hofer, Roland Kwitt, Marc Niethammer:
Learning Representations of Persistence Barcodes. J. Mach. Learn. Res. 20: 126:1-126:45 (2019) - [j33]Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast predictive simple geodesic regression. Medical Image Anal. 56: 193-209 (2019) - [j32]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): 72-79 (2019) - [c107]Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer:
Networks for Joint Affine and Non-Parametric Image Registration. CVPR 2019: 4224-4233 - [c106]Marc Niethammer, Roland Kwitt, François-Xavier Vialard:
Metric Learning for Image Registration. CVPR 2019: 8463-8472 - [c105]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit:
Connectivity-Optimized Representation Learning via Persistent Homology. ICML 2019: 2751-2760 - [c104]Kevin Pham, Xiao Yang, Marc Niethammer, Juan-Carlos Prieto, Martin Styner:
Multiseg pipeline: automatic tissue segmentation of brain MR images with subject-specific atlases. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530K - [c103]Zhipeng Ding, Xu Han, Marc Niethammer:
VoteNet: A Deep Learning Label Fusion Method for Multi-atlas Segmentation. MICCAI (3) 2019: 202-210 - [c102]Zhenlin Xu, Marc Niethammer:
DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation. MICCAI (2) 2019: 420-429 - [c101]Zhengyang Shen, François-Xavier Vialard, Marc Niethammer:
Region-specific Diffeomorphic Metric Mapping. NeurIPS 2019: 1096-1106 - [i27]Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer:
Networks for Joint Affine and Non-parametric Image Registration. CoRR abs/1903.08811 (2019) - [i26]Zhenlin Xu, Marc Niethammer:
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation. CoRR abs/1904.08465 (2019) - [i25]Zhipeng Ding, Xu Han, Marc Niethammer:
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation. CoRR abs/1904.08963 (2019) - [i24]Marc Niethammer, Roland Kwitt, François-Xavier Vialard:
Metric Learning for Image Registration. CoRR abs/1904.09524 (2019) - [i23]Christoph D. Hofer, Roland Kwitt, Marc Niethammer:
Graph Filtration Learning. CoRR abs/1905.10996 (2019) - [i22]Zhengyang Shen, François-Xavier Vialard, Marc Niethammer:
Region-specific Diffeomorphic Metric Mapping. CoRR abs/1906.00139 (2019) - [i21]Christoph D. Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer:
Connectivity-Optimized Representation Learning via Persistent Homology. CoRR abs/1906.09003 (2019) - [i20]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 abs/1907.07739 (2019) - [i19]Yifeng Shi, Junier Oliva, Marc Niethammer:
Deep Message Passing on Sets. CoRR abs/1909.09877 (2019) - [i18]Zhipeng Ding, Xu Han, Marc Niethammer:
VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation. CoRR abs/1911.00582 (2019) - 2018
- [j31]Xu Han, Roland Kwitt, Stephen R. Aylward, Spyridon Bakas, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer:
Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach. NeuroImage 176: 431-445 (2018) - [c100]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: 3880-3885 - [c99]Thomas 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: 1500-1503 - [c98]