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Marc Niethammer
Marc Niethammer
Professor of Computer Science, UC San Diego
Підтверджена електронна адреса в cs.unc.edu - Домашня сторінка
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Посилання
Посилання
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A method for normalizing histology slides for quantitative analysis
M Macenko, M Niethammer, JS Marron, D Borland, JT Woosley, X Guan, ...
2009 IEEE international symposium on biomedical imaging: from nano to macro …, 2009
14842009
Quicksilver: Fast predictive image registration–a deep learning approach
X Yang, R Kwitt, M Styner, M Niethammer
NeuroImage 158, 378-396, 2017
7272017
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
E Gerardin, G Chételat, M Chupin, R Cuingnet, B Desgranges, HS Kim, ...
Neuroimage 47 (4), 1476-1486, 2009
5352009
Time-frequency representations of Lamb waves
M Niethammer, LJ Jacobs, J Qu, J Jarzynski
The Journal of the Acoustical Society of America 109 (5), 1841-1847, 2001
3462001
Deep learning with topological signatures
C Hofer, R Kwitt, M Niethammer, A Uhl
Advances in neural information processing systems 30, 2017
3262017
Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype
HD Couture, LA Williams, J Geradts, SJ Nyante, EN Butler, JS Marron, ...
NPJ breast cancer 4 (1), 30, 2018
3112018
Robust and generalizable visual representation learning via random convolutions
Z Xu, D Liu, J Yang, C Raffel, M Niethammer
International Conference on Learning Representations (ICLR), 2021
2492021
Laplace–Beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis
M Reuter, FE Wolter, M Shenton, M Niethammer
Computer-Aided Design 41 (10), 739-755, 2009
2132009
Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps.
C Zach, D Gallup, JM Frahm, M Niethammer
VMV 6, 7, 2008
2132008
DeepAtlas: Joint semi-supervised learning of image registration and segmentation
Z Xu, M Niethammer
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1962019
The power of correlative microscopy: multi-modal, multi-scale, multi-dimensional
J Caplan, M Niethammer, RM Taylor II, KJ Czymmek
Current opinion in structural biology 21 (5), 686-693, 2011
1912011
Restoration of DWI data using a Rician LMMSE estimator
S Aja-Fernández, M Niethammer, M Kubicki, ME Shenton, CF Westin
IEEE transactions on medical imaging 27 (10), 1389-1403, 2008
1832008
Fast predictive image registration
X Yang, R Kwitt, M Niethammer
Deep Learning and Data Labeling for Medical Applications: First …, 2016
1782016
Geodesic regression for image time-series
M Niethammer, Y Huang, FX Vialard
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
1782011
Scene parsing with object instances and occlusion ordering
J Tighe, M Niethammer, S Lazebnik
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1722014
Dissecting supervised contrastive learning
F Graf, C Hofer, M Niethammer, R Kwitt
International Conference on Machine Learning, 3821-3830, 2021
1582021
Aga: Attribute-guided augmentation
M Dixit, R Kwitt, M Niethammer, N Vasconcelos
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1562017
Networks for joint affine and non-parametric image registration
Z Shen, X Han, Z Xu, M Niethammer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1462019
Segmentation of knee images: a grand challenge
T Heimann, BJ Morrison, MA Styner, M Niethammer, S Warfield
Proc. MICCAI Workshop on Medical Image Analysis for the Clinic 1, 2010
1312010
Votenet: A deep learning label fusion method for multi-atlas segmentation
Z Ding, X Han, M Niethammer
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1282019
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