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Samuel Gerber
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2020 – today
- 2023
- [j8]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) - 2022
- [j7]Étienne Léger, Samantha Horvath, Jean-Christophe Fillion-Robin, David Allemang, Samuel Gerber, Parikshit Juvekar, Erickson Torio, Tina Kapur, Steve Pieper, Sonia Pujol, Ryan S. Bardsley, Sarah F. Frisken, Alexandra J. Golby:
NousNav: A low-cost neuronavigation system for deployment in lower-resource settings. Int. J. Comput. Assist. Radiol. Surg. 17(9): 1745-1750 (2022) - [c17]Pranjal Sahu, Samuel Gerber, Qingyu Zhao, Tung Nguyen, Matt McCormick, Beatriz Paniagua, Jared Vicory:
Thin shell demons for dental scan registration. Medical Imaging: Image Processing 2022 - [i3]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) - 2021
- [i2]Samuel Gerber:
Saddlepoints in Unsupervised Least Squares. CoRR abs/2104.05000 (2021) - 2020
- [c16]Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer:
Adversarial Data Augmentation via Deformation Statistics. ECCV (29) 2020: 643-659 - [c15]Samuel Gerber, Marc Niethammer:
Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis. MICCAI (7) 2020: 667-677
2010 – 2019
- 2019
- [j6]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) - [c14]Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie:
Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training. DART/MIL3ID@MICCAI 2019: 28-36 - [c13]Dhruv Sharma, Zahil Shanis, Chandan K. Reddy, Samuel Gerber, Andinet Enquobahrie:
Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images. DART/MIL3ID@MICCAI 2019: 148-156 - 2018
- [c12]Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan D. Beezley, David Manthey, David A. Gutman, Lee A. D. Cooper:
Vectorized persistent homology representations for characterizing glandular architecture in histology images. ISBI 2018: 232-235 - [c11]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 - [c10]Samuel Gerber, Marc Niethammer, Martin Styner, Stephen R. Aylward:
Exploratory Population Analysis with Unbalanced Optimal Transport. MICCAI (3) 2018: 464-472 - 2017
- [j5]Samuel Gerber, Mauro Maggioni:
Multiscale Strategies for Computing Optimal Transport. J. Mach. Learn. Res. 18: 72:1-72:32 (2017) - [c9]Samuel Gerber, Maeliss Jallais, Hastings Greer, Matt McCormick, Sean Montgomery, Bradley Freeman, Deborah Shipley Kane, Deepak Roy Chittajallu, Neal Siekierski, Stephen R. Aylward:
Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images. BIVPCS/POCUS@MICCAI 2017: 113-120 - [c8]Maeliss Jallais, Hastings Greer, Samuel Gerber, Matt McCormick, Deepak Roy Chittajallu, Neal Siekierski, Stephen R. Aylward:
Ultrasound Augmentation: Rapid 3-D Scanning for Tracking and On-Body Display. BIVPCS/POCUS@MICCAI 2017: 138-145 - [i1]Samuel Gerber, Mauro Maggioni:
Multiscale Strategies for Computing Optimal Transport. CoRR abs/1708.02469 (2017) - 2013
- [j4]Kristin C. Potter, Samuel Gerber, Erik W. Anderson:
Visualization of Uncertainty without a Mean. IEEE Computer Graphics and Applications 33(1): 75-79 (2013) - [j3]Samuel Gerber, Ross T. Whitaker:
Regularization-free principal curve estimation. J. Mach. Learn. Res. 14(1): 1285-1302 (2013) - 2012
- [b1]Samuel Gerber:
Nonparametric Models for High-Dimensional Data Analysis. University of Utah, USA, 2012 - 2011
- [c7]Peihong Zhu, Suyash P. Awate, Samuel Gerber, Ross T. Whitaker:
Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching. MICCAI (2) 2011: 484-491 - 2010
- [j2]Samuel Gerber, Tolga Tasdizen, P. Thomas Fletcher, Sarang C. Joshi, Ross T. Whitaker:
Manifold modeling for brain population analysis. Medical Image Anal. 14(5): 643-653 (2010) - [j1]Samuel Gerber, Peer-Timo Bremer, Valerio Pascucci, Ross T. Whitaker:
Visual Exploration of High Dimensional Scalar Functions. IEEE Trans. Vis. Comput. Graph. 16(6): 1271-1280 (2010) - [c6]Arvind Agarwal, Hal Daumé III, Samuel Gerber:
Learning Multiple Tasks using Manifold Regularization. NIPS 2010: 46-54
2000 – 2009
- 2009
- [c5]Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker:
Dimensionality reduction and principal surfaces via Kernel Map Manifolds. ICCV 2009: 529-536 - [c4]Ran Tao, P. Thomas Fletcher, Samuel Gerber, Ross T. Whitaker:
A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI. IPMI 2009: 664-675 - [c3]Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ross T. Whitaker:
On the Manifold Structure of the Space of Brain Images. MICCAI (1) 2009: 305-312 - 2008
- [c2]Matthias Fuchs, Samuel Gerber:
Variational shape detection in microscope images based on joint shape and image feature statistics. CVPR Workshops 2008: 1-8 - 2007
- [c1]Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker:
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps. ICML 2007: 281-288
Coauthor Index
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