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2020 – today
- 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)- [c136]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: 18084-18094 - [c135]Christopher M. Bender, Yifeng Shi, Marc Niethammer, Junier Oliva:
Continuously Parameterized Mixture Models. ICML 2023: 2050-2062 - [c134]T. Osika, Ebrahim Ebrahim, Martin Styner, Marc Niethammer, T. Sawyer, Andinet Enquobahrie:
Harmonization Benchmarking Tool for Neuroimaging Datasets. ISBI 2023: 1-5 - [i59]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) - [i58]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) - [i57]Boqi Chen, Marc Niethammer:
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities. CoRR abs/2303.10249 (2023) - [i56]Nurislam Tursynbek, Marc Niethammer:
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. CoRR abs/2305.00067 (2023) - [i55]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) - [i54]Yifeng Shi, Marc Niethammer:
Multimodal Understanding Through Correlation Maximization and Minimization. CoRR abs/2305.03125 (2023) - [i53]Chun-Hung Chao, Marc Niethammer:
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-subject Consistency Objectives. CoRR abs/2308.04987 (2023) - [i52]Lin Tian, Soumyadip Sengupta, Hastings Greer, Raúl San José Estépar, Marc Niethammer:
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration. CoRR abs/2309.07322 (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, 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]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]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, 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. Medical Imaging: 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]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]