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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]Zhenlin Xu, Zhengyang Shen, Marc Niethammer:
Contextual Additive Networks to Efficiently Boost 3D Image Segmentations. DLMIA/ML-CDS@MICCAI 2018: 92-100 - [c97]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: 105-114 - [c96]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: 254-262 - [c95]Samuel Gerber, Marc Niethammer, Martin Styner, Stephen R. Aylward:
Exploratory Population Analysis with Unbalanced Optimal Transport. MICCAI (3) 2018: 464-472 - [i17]Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Stochastic Block Models with Multiple Continuous Attributes. CoRR abs/1803.02726 (2018) - [i16]Natalie Stanley, Marc Niethammer, Peter J. Mucha:
Testing Alignment of Node Attributes with Network Structure Through Label Propagation. CoRR abs/1805.07375 (2018) - [i15]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. CoRR abs/1806.05083 (2018) - 2017
- [j30]Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Quicksilver: Fast predictive image registration - A deep learning approach. NeuroImage 158: 378-396 (2017) - [j29]Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III:
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. SIAM J. Imaging Sci. 10(3): 1069-1103 (2017) - [c94]Yi Hong, Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Regression Uncertainty on the Grassmannian. AISTATS 2017: 785-793 - [c93]Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos:
AGA: Attribute-Guided Augmentation. CVPR 2017: 3328-3336 - [c92]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl:
Constructing Shape Spaces from a Topological Perspective. IPMI 2017: 106-118 - [c91]Qingyu Zhao, Stephen M. Pizer, Ron Alterovitz, Marc Niethammer, Julian G. Rosenman:
Orthotropic Thin Shell Elasticity Estimation for Surface Registration. IPMI 2017: 493-504 - [c90]Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Efficient registration of pathological images: A joint PCA/image-reconstruction approach. ISBI 2017: 10-14 - [c89]Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Fast predictive multimodal image registration. ISBI 2017: 858-862 - [c88]Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast Predictive Simple Geodesic Regression. DLMIA/ML-CDS@MICCAI 2017: 267-275 - [c87]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl:
Deep Learning with Topological Signatures. NIPS 2017: 1634-1644 - [e3]Marc Niethammer, Martin Styner, Stephen R. Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen:
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Lecture Notes in Computer Science 10265, Springer 2017, ISBN 978-3-319-59049-3 [contents] - [i14]Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III:
Probabilistic Diffeomorphic Registration: Representing Uncertainty. CoRR abs/1701.03266 (2017) - [i13]Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Fast Predictive Multimodal Image Registration. CoRR abs/1703.10902 (2017) - [i12]Xiao Yang, Roland Kwitt, Marc Niethammer:
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach. CoRR abs/1703.10908 (2017) - [i11]Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach. CoRR abs/1704.00036 (2017) - [i10]Natalie Stanley, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Compressing networks with super nodes. CoRR abs/1706.04110 (2017) - [i9]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl:
Deep Learning with Topological Signatures. CoRR abs/1707.04041 (2017) - [i8]Emilie Gerardin, Gaël Chételat, Marie Chupin, Rémi Cuingnet, Béatrice Desgranges, Hosung Kim, Marc Niethammer, Bruno Dubois, Stéphane Lehéricy, Line Garnero, Francis Eustache, Olivier Colliot:
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. CoRR abs/1707.05961 (2017) - [i7]Xu Han, Roland Kwitt, Stephen R. Aylward, 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. CoRR abs/1711.05702 (2017) - [i6]Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast Predictive Simple Geodesic Regression. CoRR abs/1711.05766 (2017) - 2016
- [j28]Yi Hong, Roland Kwitt, Nikhil Singh, Nuno Vasconcelos, Marc Niethammer:
Parametric Regression on the Grassmannian. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2284-2297 (2016) - [c86]Roland Kwitt, Sebastian Hegenbart, Marc Niethammer:
One-Shot Learning of Scene Locations via Feature Trajectory Transfer. CVPR 2016: 78-86 - [c85]Istvan Csapo, Yundi Shi, Mar Sanchez, Martin Styner, Marc Niethammer:
Registration of Developmental Image Sequences with Missing Data. CVPR Workshops 2016: 558-565 - [c84]Stephen R. Aylward, Matthew McCormick, Hyun Jae Kang, Sharif Razzaque, Roland Kwitt, Marc Niethammer:
Ultrasound spectroscopy. ISBI 2016: 1013-1016 - [c83]Thomas Polzin, Marc Niethammer, Mattias P. Heinrich, Heinz Handels, Jan Modersitzki:
Memory Efficient LDDMM for Lung CT. MICCAI (3) 2016: 28-36 - [c82]Xiao Yang, Roland Kwitt, Marc Niethammer:
Fast Predictive Image Registration. LABELS/DLMIA@MICCAI 2016: 48-57 - [c81]Xiao Yang, Xu Han, Eunbyung Park, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Registration of Pathological Images. SASHIMI@MICCAI 2016: 97-107 - [c80]Qingyu Zhao, True Price, Stephen M. Pizer, Marc Niethammer, Ron Alterovitz, Julian G. Rosenman:
The Endoscopogram: A 3D Model Reconstructed from Endoscopic Video Frames. MICCAI (1) 2016: 439-447 - [i5]Xiao Yang, Roland Kwitt, Marc Niethammer:
Fast Predictive Image Registration. CoRR abs/1607.02504 (2016) - [i4]Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos:
AGA: Attribute Guided Augmentation. CoRR abs/1612.02559 (2016) - 2015
- [j27]Jared Vicory, Heather D. Couture, Nancy E. Thomas, David Borland, J. S. Marron, John T. Woosley, Marc Niethammer:
Appearance normalization of histology slides. Comput. Medical Imaging Graph. 43: 89-98 (2015) - [j26]Joseph Tighe, Marc Niethammer, Svetlana Lazebnik:
Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors. Int. J. Comput. Vis. 112(2): 150-171 (2015) - [j25]Yi Hong, Yi Gao, Marc Niethammer, Sylvain Bouix:
Shape analysis based on depth-ordering. Medical Image Anal. 25(1): 2-10 (2015) - [j24]Nikhil Singh, François-Xavier Vialard, Marc Niethammer:
Splines for diffeomorphisms. Medical Image Anal. 25(1): 56-71 (2015) - [j23]Chao Huang, Liang Shan, Cecil Charles, Wolfgang Wirth, Marc Niethammer, Hongtu Zhu:
Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data. IEEE Trans. Medical Imaging 34(9): 1914-1927 (2015) - [c79]Yi Hong, Nikhil Singh, Roland Kwitt, Marc Niethammer:
Group Testing for Longitudinal Data. IPMI 2015: 139-151 - [c78]Tian Cao, Nikhil Singh, Vladimir Jojic, Marc Niethammer:
Semi-coupled dictionary learning for deformation prediction. ISBI 2015: 691-694 - [c77]Heather D. Couture, J. S. Marron, Nancy E. Thomas, Charles M. Perou, Marc Niethammer:
Hierarchical task-driven feature learning for tumor histology. ISBI 2015: 999-1003 - [c76]Xiao Yang, Marc Niethammer:
Uncertainty Quantification for LDDMM Using a Low-Rank Hessian Approximation. MICCAI (2) 2015: 289-296 - [c75]Yi Hong, Roland Kwitt, Marc Niethammer:
Model Criticism for Regression on the Grassmannian. MICCAI (3) 2015: 727-734 - [c74]Qingyu Zhao, James Price, Stephen M. Pizer, Marc Niethammer, Ron Alterovitz, Julian G. Rosenman:
Surface Registration in the Presence of Missing Patches and Topology Change. MIUA 2015: 8-13 - [c73]Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin, Ulrich Bauer:
Statistical Topological Data Analysis - A Kernel Perspective. NIPS 2015: 3070-3078 - [e2]Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec:
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8682, Springer 2015, ISBN 978-3-319-14904-2 [contents] - [i3]Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III:
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models. CoRR abs/1501.05680 (2015) - [i2]Yi Hong, Nikhil Singh, Roland Kwitt, Nuno Vasconcelos, Marc Niethammer:
Parametric Regression on the Grassmannian. CoRR abs/1505.03832 (2015) - 2014
- [j22]Yi Hong, Brad Davis, J. S. Marron, Roland Kwitt, Nikhil Singh, Julia S. Kimbell, Elizabeth Pitkin, Richard Superfine, Stephanie Davis, Carlton J. Zdanski, Marc Niethammer:
Statistical atlas construction via weighted functional boxplots. Medical Image Anal. 18(4): 684-698 (2014) - [j21]Tian Cao, Christopher Zach, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer:
Multi-modal registration for correlative microscopy using image analogies. Medical Image Anal. 18(6): 914-926 (2014) - [j20]Liang Shan, Christopher Zach, Cecil Charles, Marc Niethammer:
Automatic atlas-based three-label cartilage segmentation from MR knee images. Medical Image Anal. 18(7): 1233-1246 (2014) - [j19]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large deformation diffeomorphic registration of diffusion-weighted imaging data. Medical Image Anal. 18(8): 1290-1298 (2014) - [j18]Dongjin Kwon, Marc Niethammer, Hamed Akbari, Michel Bilello, Christos Davatzikos, Kilian M. Pohl:
PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration. IEEE Trans. Medical Imaging 33(3): 651-667 (2014) - [c72]Joseph Tighe, Marc Niethammer, Svetlana Lazebnik:
Scene Parsing with Object Instances and Occlusion Ordering. CVPR 2014: 3748-3755 - [c71]Yi Hong, Roland Kwitt, Nikhil Singh, Brad Davis, Nuno Vasconcelos, Marc Niethammer:
Geodesic Regression on the Grassmannian. ECCV (2) 2014: 632-646 - [c70]Yi Hong, Yi Gao, Marc Niethammer, Sylvain Bouix:
Depth-Based Shape-Analysis. MICCAI (3) 2014: 17-24 - [c69]Xiaoxiao Liu, Marc Niethammer, Roland Kwitt, Matthew McCormick, Stephen R. Aylward:
Low-Rank to the Rescue - Atlas-Based Analyses in the Presence of Pathologies. MICCAI (3) 2014: 97-104 - [c68]Yi Hong, Nikhil Singh, Roland Kwitt, Marc Niethammer:
Time-Warped Geodesic Regression. MICCAI (2) 2014: 105-112 - [c67]Nikhil Singh, Marc Niethammer:
Splines for Diffeomorphic Image Regression. MICCAI (2) 2014: 121-129 - [c66]Nikhil Singh, Heather D. Couture, J. S. Marron, Charles M. Perou, Marc Niethammer:
Topological Descriptors of Histology Images. MLMI 2014: 231-239 - [c65]Qingyu Zhao, Stephen M. Pizer, Marc Niethammer, Julian G. Rosenman:
Geometric-Feature-Based Spectral Graph Matching in Pharyngeal Surface Registration. MICCAI (1) 2014: 259-266 - [c64]Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III:
Probabilistic Diffeomorphic Registration: Representing Uncertainty. WBIR 2014: 72-82 - [i1]Tian Cao, Christopher Zach, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer:
Multi-modal Image Registration for Correlative Microscopy. CoRR abs/1411.3229 (2014) - 2013
- [j17]Marc Niethammer, Christopher Zach:
Segmentation with area constraints. Medical Image Anal. 17(1): 101-112 (2013) - [j16]Istvan Csapo, Brad Davis, Yundi Shi, Mar Sanchez, Martin Styner, Marc Niethammer:
Longitudinal Image Registration With Temporally-Dependent Image Similarity Measure. IEEE Trans. Medical Imaging 32(10): 1939-1951 (2013) - [j15]Danielle F. Pace, Stephen R. Aylward, Marc Niethammer:
A Locally Adaptive Regularization Based on Anisotropic Diffusion for Deformable Image Registration of Sliding Organs. IEEE Trans. Medical Imaging 32(11): 2114-2126 (2013) - [c63]Ilwoo Lyu, Sun Hyung Kim, Joon-Kyung Seong, Sang Wook Yoo, Alan C. Evans, Yundi Shi, Mar Sanchez, Marc Niethammer, Martin Andreas Styner:
Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization. IPMI 2013: 364-375 - [c62]Chao Huang, Liang Shan, Cecil Charles, Marc Niethammer, Hongtu Zhu:
Diseased Region Detection of Longitudinal Knee MRI Data. IPMI 2013: 632-643 - [c61]Yi Hong, Marc Niethammer, Johan Andruejol, Julia S. Kimbell, Elizabeth Pitkin, Richard Superfine, Stephanie Davis, Carlton J. Zdanski, Brad Davis:
A pediatric airway atlas and its application in subglottic stenosis. ISBI 2013: 1206-1209 - [c60]Liang Shan, Cecil Charles, Marc Niethammer:
Longitudinal three-label segmentation of knee cartilage. ISBI 2013: 1376-1379 - [c59]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization. MICCAI (2) 2013: 27-34 - [c58]Yogesh Rathi, Marc Niethammer, Frederik B. Laun, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin:
Diffusion Propagator Estimation Using Radial Basis Functions. CDMRI/MMBC@MICCAI 2013: 57-66 - [c57]Tian Cao, Vladimir Jojic, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer:
Robust Multimodal Dictionary Learning. MICCAI (1) 2013: 259-266 - [c56]Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding. MICCAI (1) 2013: 292-299 - [c55]Marco Lorenzi, Bjoern H. Menze, Marc Niethammer, Nicholas Ayache, Xavier Pennec:
Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. MICCAI (2) 2013: 328-335 - [c54]Roland Kwitt, Danielle F. Pace, Marc Niethammer, Stephen R. Aylward:
Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels. MICCAI (2) 2013: 534-541 - [c53]Yi Hong, Brad Davis, J. S. Marron, Roland Kwitt, Marc Niethammer:
Weighted Functional Boxplot with Application to Statistical Atlas Construction. MICCAI (3) 2013: 584-591 - [c52]Ilwoo Lyu, Sun Hyung Kim, Joon-Kyung Seong, Sang Wook Yoo, Alan C. Evans, Yundi Shi, Mar Sanchez, Marc Niethammer, Martin A. Styner:
Cortical correspondence via sulcal curve-constrained spherical registration with application to Macaque studies. Image Processing 2013: 86692X - 2012
- [j14]Huai-Ping Lee, Mark Foskey, Marc Niethammer, Pavel Krajcevski, Ming C. Lin:
Simulation-Based Joint Estimation of Body Deformation and Elasticity Parameters for Medical Image Analysis. IEEE Trans. Medical Imaging 31(11): 2156-2168 (2012) - [c51]Jur van den Berg, David Wilkie, Stephen J. Guy, Marc Niethammer, Dinesh Manocha:
LQG-obstacles: Feedback control with collision avoidance for mobile robots with motion and sensing uncertainty. ICRA 2012: 346-353 - [c50]Liang Shan, Cecil Charles, Marc Niethammer:
Automatic multi-atlas-based cartilage segmentation from knee MR images. ISBI 2012: 1028-1031 - [c49]Pei Zhang, Marc Niethammer, Dinggang Shen, Pew-Thian Yap:
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images. MICCAI (2) 2012: 171-178 - [c48]Yi Hong, Sarang C. Joshi, Mar Sanchez, Martin Styner, Marc Niethammer:
Metamorphic Geodesic Regression. MICCAI (3) 2012: 197-205 - [c47]Istvan Csapo, Brad Davis, Yundi Shi, Mar Sanchez, Martin Styner, Marc Niethammer:
Longitudinal Image Registration with Non-uniform Appearance Change. MICCAI (3) 2012: 280-288 - [c46]Liang Shan, Cecil Charles, Marc Niethammer:
Automatic atlas-based three-label cartilage segmentation from MR knee images. MMBIA 2012: 241-246 - [c45]Yi Hong, Yundi Shi, Martin Styner, Mar Sanchez, Marc Niethammer:
Simple Geodesic Regression for Image Time-Series. WBIR 2012: 11-20 - [c44]Istvan Csapo, Brad Davis, Yundi Shi, Mar Sanchez, Martin Styner, Marc Niethammer:
Temporally-Dependent Image Similarity Measure for Longitudinal Analysis. WBIR 2012: 99-109 - [c43]Tian Cao, Christopher Zach, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer:
Registration for Correlative Microscopy Using Image Analogies. WBIR 2012: 296-306 - [e1]Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer:
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings. Lecture Notes in Computer Science 7570, Springer 2012, ISBN 978-3-642-33554-9 [contents] - 2011
- [j13]Ilknur Kabul, Stephen M. Pizer, Julian G. Rosenman, Marc Niethammer:
An Optimal Control Approach for Texture Metamorphosis. Comput. Graph. Forum 30(8): 2341-2353 (2011) - [c42]Danielle F. Pace, Andinet Enquobahrie, Hua Yang, Stephen R. Aylward, Marc Niethammer:
Deformable image registration of sliding organs using anisotropic diffusive regularization. ISBI 2011: 407-413 - [c41]Danielle F. Pace, Marc Niethammer, Stephen R. Aylward:
Sliding Geometries in Deformable Image Registration. Abdominal Imaging 2011: 141-148 - [c40]Marc Niethammer, Gabriel L. Hart, Danielle F. Pace, Paul M. Vespa, Andrei Irimia, John D. Van Horn, Stephen R. Aylward:
Geometric Metamorphosis. MICCAI (2) 2011: 639-646 - [c39]Marc Niethammer, Yang Huang, François-Xavier Vialard:
Geodesic Regression for Image Time-Series. MICCAI (2) 2011: 655-662 - [c38]Clement Vachet, Heather Cody Hazlett, Marc Niethammer, Ipek Oguz, Joshua E. Cates, Ross T. Whitaker, Joseph Piven, Martin Styner:
Group-wise automatic mesh-based analysis of cortical thickness. Image Processing 2011: 796227 - [c37]Wen Li, Luis Ibáñez, Arnaud Gelas, B. T. Thomas Yeo, Marc Niethammer, Nancy Andreasen, Vincent A. Magnotta:
An automated pipeline for cortical surface generation and registration of the cerebral cortex. Image Processing 2011: 796229 - [c36]Joohwi Lee, Cindy Ehlers, Fulton Crews, Marc Niethammer, François Budin, Beatriz Paniagua, Kathy Sulik, Josephine Johns, Martin Styner, Ipek Oguz:
Automatic cortical thickness analysis on rodent brain. Image Processing 2011: 796248 - 2010
- [j12]Florian Kerber, Helge Sprenger, Marc Niethammer, Kritsakorn Luangvilai, Laurence J. Jacobs:
Attenuation Analysis of Lamb Waves Using the Chirplet Transform. EURASIP J. Adv. Signal Process. 2010 (2010) - [c35]Huai-Ping Lee, Mark Foskey, Marc Niethammer, Ming C. Lin:
Physically-based deformable image registration with material property and boundary condition estimation. ISBI 2010: 532-535 - [c34]Liang Shan, Christopher Zach, Marc Niethammer:
Automatic three-label bone segmentation from knee MR images. ISBI 2010: 1325-1328 - [c33]Marc Niethammer, Alexis Boucharin, Christopher Zach, Yundi Shi, Eric A. Maltbie, Mar Sanchez, Martin Styner:
DTI Connectivity by Segmentation. MIAR 2010: 200-210 - [c32]Marc Niethammer, David Borland, J. S. Marron, John T. Woosley, Nancy E. Thomas:
Appearance Normalization of Histology Slides. MLMI 2010: 58-66 - [c31]Peter Karasev, James G. Malcolm, Marc Niethammer, Ron Kikinis, Allen R. Tannenbaum:
User-driven 3D mesh region targeting. Image-Guided Procedures 2010: 762513 - [c30]Liang Shan, Christopher Zach, Martin Styner, Cecil Charles, Marc Niethammer:
Automatic bone segmentation and alignment from MR knee images. Image Processing 2010: 76231K
2000 – 2009
- 2009
- [j11]Martin Reuter, Franz-Erich Wolter, Martha Elizabeth Shenton, Marc Niethammer:
Laplace-Beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis. Comput. Aided Des. 41(10): 739-755 (2009) - [j10]Marc Niethammer, Christopher Zach, John Melonakos, Allen R. Tannenbaum:
Near-tubular fiber bundle segmentation for diffusion weighted imaging: Segmentation through frame reorientation. NeuroImage 45(1): S123-S132 (2009) - [j9]Aristotle N. Voineskos, Lauren J. O'Donnell, Nancy J. Lobaugh, Douglas Markant, Stephanie Ameis, Marc Niethammer, Benoit H. Mulsant, Bruce G. Pollock, James L. Kennedy, Carl-Fredrik Westin, Martha Elizabeth Shenton:
Quantitative examination of a novel clustering method using magnetic resonance diffusion tensor tractography. NeuroImage 45(2): 370-376 (2009) - [j8]Emilie Gerardin, Gaël Chételat, Marie Chupin, Rémi Cuingnet, Béatrice Desgranges, Hosung Kim, Marc Niethammer, Bruno Dubois, Stéphane Lehéricy, Line Garnero, Francis Eustache, Olivier Colliot:
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. NeuroImage 47(4): 1476-1486 (2009) - [c29]Marc Niethammer, Gabriel L. Hart, Christopher Zach:
An optimal control approach for the registration of image time-series. CDC 2009: 2427-2434 - [c28]Gabriel L. Hart, Christopher Zach, Marc Niethammer:
An optimal control approach for deformable registration. CVPR Workshops 2009: 9-16 - [c27]Christopher Zach, Marc Niethammer, Jan-Michael Frahm:
Continuous maximal flows and Wulff shapes: Application to MRFs. CVPR 2009: 1911-1918 - [c26]Christopher Zach, Liang Shan, Marc Niethammer:
Globally Optimal Finsler Active Contours. DAGM-Symposium 2009: 552-561 - [c25]Ipek Oguz, Marc Niethammer, Joshua E. Cates, Ross T. Whitaker, P. Thomas Fletcher, Clement Vachet, Martin Styner:
Cortical Correspondence with Probabilistic Fiber Connectivity. IPMI 2009: 651-663 - [c24]Marc Macenko, Marc Niethammer, J. S. Marron, David Borland, John T. Woosley, Xiaojun Guan, Charles Schmitt, Nancy E. Thomas:
A Method for Normalizing Histology Slides for Quantitative Analysis. ISBI 2009: 1107-1110 - 2008
- [j7]Marc Niethammer, Patricio A. Vela, Allen R. Tannenbaum:
Geometric Observers for Dynamically Evolving Curves. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1093-1108 (2008) - [j6]Patricio A. Vela, Marc Niethammer, Gallagher Pryor, Allen R. Tannenbaum, Robert Butts, Donald Washburn:
Knowledge-Based Segmentation for Tracking Through Deep Turbulence. IEEE Trans. Control. Syst. Technol. 16(3): 469-474 (2008) - [j5]Santiago Aja-Fernández, Marc Niethammer, Marek Kubicki, Martha Elizabeth Shenton, Carl-Fredrik Westin:
Restoration of DWI Data Using a Rician LMMSE Estimator. IEEE Trans. Medical Imaging 27(10): 1389-1403 (2008) - [c23]Yogesh Rathi, Samuel Dambreville, Marc Niethammer, James G. Malcolm, James J. Levitt, Martha Elizabeth Shenton, Allen R. Tannenbaum:
Segmenting images analytically in shape space. Image Processing 2008: 691405 - [c22]Christopher Zach, David Gallup, Jan-Michael Frahm, Marc Niethammer:
Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps. VMV 2008: 243-252 - 2007
- [c21]Samuel Dambreville, Marc Niethammer, Anthony J. Yezzi, Allen R. Tannenbaum:
A Variational Framework Combining Level-sets and Thresholding. BMVC 2007: 1-10 - [c20]Vandana Mohan, John Melonakos, Allen R. Tannenbaum, Marc Niethammer, Marek Kubicki:
Finsler Level Set Segmentation for Imagery in Oriented Domains. BMVC 2007: 1-9 - [c19]Martin Reuter, Marc Niethammer, Franz-Erich Wolter, Sylvain Bouix, Martha Elizabeth Shenton:
Global Medical Shape Analysis Using the Volumetric Laplace Spectrum. CW 2007: 417-426 - [c18]John Melonakos, Marc Niethammer, Vandana Mohan, Marek Kubicki, James V. Miller, Allen R. Tannenbaum:
Locally-Constrained Region-Based Methods for DW-MRI Segmentation. ICCV 2007: 1-8 - [c17]Delphine Nain, Martin Andreas Styner, Marc Niethammer, James J. Levitt, Martha Elizabeth Shenton, Guido Gerig, Aaron F. Bobick, Allen R. Tannenbaum:
Statistical Shape Analysis of Brain Structures Using Spherical Wavelets. ISBI 2007: 209-212 - [c16]Gordon L. Kindlmann, Raúl San José Estépar, Marc Niethammer, Steven Haker, Carl-Fredrik Westin:
Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement. MICCAI (1) 2007: 1-9 - [c15]John Melonakos, Vandana Mohan, Marc Niethammer, Kate Smith, Marek Kubicki, Allen R. Tannenbaum:
Finsler Tractography for White Matter Connectivity Analysis of the Cingulum Bundle. MICCAI (1) 2007: 36-43 - [c14]Marc Niethammer, Sylvain Bouix, Santiago Aja-Fernández, Carl-Fredrik Westin, Martha Elizabeth Shenton:
Outlier Rejection for Diffusion Weighted Imaging. MICCAI (1) 2007: 161-168 - [c13]Marc Niethammer, Martin Reuter, Franz-Erich Wolter, Sylvain Bouix, Niklas Peinecke, Min-Seong Koo, Martha Elizabeth Shenton:
Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum. MICCAI (1) 2007: 850-857 - [c12]Samuel Dambreville, Marc Niethammer, Anthony J. Yezzi, Allen R. Tannenbaum:
A variational segmentation framework using active contours and thresholding. SIP 2007: 180-185 - 2006
- [j4]Marc Niethammer, Allen R. Tannenbaum, Sigurd B. Angenent:
Dynamic active contours for visual tracking. IEEE Trans. Autom. Control. 51(4): 562-579 (2006) - [j3]Marc Niethammer, William D. Kalies, Konstantin Mischaikow, Allen R. Tannenbaum:
On the detection of simple points in higher dimensions using cubical homology. IEEE Trans. Image Process. 15(8): 2462-2469 (2006) - [c11]Marc Niethammer, Raúl San José Estépar, Sylvain Bouix, Martha Shenton, Carl-Fredrik Westin:
On Diffusion Tensor Estimation. EMBC 2006: 2622-2625 - [c10]Marc Niethammer, Raúl San José Estépar, Sylvain Bouix, Martha Shenton, Carl-Fredrik Westin:
On diffusion tensor estimation. EMBC (Supplement) 2006: 6707-6710 - [c9]Marc Niethammer, Sylvain Bouix, Carl-Fredrik Westin, Martha Elizabeth Shenton:
Fiber Bundle Estimation and Parameterization. MICCAI (2) 2006: 252-259 - [c8]Eric Pichon, Delphine Nain, Marc Niethammer:
A Laplace equation approach for shape comparison. Image-Guided Procedures 2006: 614119 - 2005
- [j2]Marc Niethammer, Patricio A. Vela, Allen R. Tannenbaum:
On the Evolution of Vector Distance Functions of Closed Curves. Int. J. Comput. Vis. 65(1-2): 5-27 (2005) - [c7]Marc Niethammer, Patricio A. Vela, Allen R. Tannenbaum:
Geometric Observers for Dynamically Evolving Curves. CDC/ECC 2005: 6071-6077 - 2004
- [b1]Marc Niethammer:
Dynamic Level Sets for Visual Tracking. Georgia Institute of Technology, Atlanta, GA, USA, 2004 - [j1]Marc Niethammer, Santiago Betelú, Guillermo Sapiro, Allen R. Tannenbaum, Peter J. Giblin:
Area-Based Medial Axis of Planar Curves. Int. J. Comput. Vis. 60(3): 203-224 (2004) - [c6]Jincheol Ha, Christopher V. Alvino, Gallagher Pryor, Marc Niethammer, Eric N. Johnson, Allen R. Tannenbaum:
Active contours and optical flow for automatic tracking of flying vehicles. ACC 2004: 3441-3446 - [c5]Marc Niethammer, Allen R. Tannenbaum:
Dynamic Geodesic Snakes for Visual Tracking. CVPR (1) 2004: 660-667 - 2003
- [c4]Marc Niethammer, Allen R. Tannenbaum:
Dynamic level sets for visual tracking. CDC 2003: 4883-4888 - [c3]Eric Pichon, Marc Niethammer, Guillermo Sapiro:
Color histogram equalization through mesh deformation. ICIP (2) 2003: 117-120 - [c2]Marc Niethammer, Eric Pichon, Allen R. Tannenbaum, Peter J. Mucha:
A stokes flow boundary integral measurement of tubular structure cross sections in two dimensions. ICIP (1) 2003: 825-828 - 2002
- [c1]Konstantin Mischaikow, Pawel Pilarczyk, William D. Kalies, Marc Niethammer, Andrew Stein, Allen R. Tannenbaum:
Analysis of blood vessel topology by cubical homology. ICIP (2) 2002: 969-972
Coauthor Index
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Martha Elizabeth Shenton
aka: Martha Shenton
aka: Martha Shenton
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