| 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 | 1490 | 2009 |
| Quicksilver: Fast predictive image registration–a deep learning approach X Yang, R Kwitt, M Styner, M Niethammer NeuroImage 158, 378-396, 2017 | 731 | 2017 |
| 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 | 528 | 2009 |
| 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 | 342 | 2001 |
| Deep learning with topological signatures C Hofer, R Kwitt, M Niethammer, A Uhl Advances in neural information processing systems 30, 2017 | 331 | 2017 |
| 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 | 311 | 2018 |
| 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 | 249 | 2021 |
| Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps. C Zach, D Gallup, JM Frahm, M Niethammer VMV 6, 7, 2008 | 216 | 2008 |
| 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 | 214 | 2009 |
| 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 | 201 | 2011 |
| DeepAtlas: Joint semi-supervised learning of image registration and segmentation Z Xu, M Niethammer International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 199 | 2019 |
| 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 | 185 | 2008 |
| Geodesic regression for image time-series M Niethammer, Y Huang, FX Vialard Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 181 | 2011 |
| Fast predictive image registration X Yang, R Kwitt, M Niethammer Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 180 | 2016 |
| 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 | 173 | 2014 |
| Dissecting supervised contrastive learning F Graf, C Hofer, M Niethammer, R Kwitt International Conference on Machine Learning, 3821-3830, 2021 | 167 | 2021 |
| Aga: Attribute-guided augmentation M Dixit, R Kwitt, M Niethammer, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 154 | 2017 |
| 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 | 145 | 2019 |
| 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 | 137 | 2010 |
| 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 | 132 | 2019 |
Roland KwittProfessor, Department of Artificial Intelligence and Human Interfaces, University of Salzburg確認したメール アドレス: plus.ac.at