Samuel Gerber

According to our database, Samuel Gerber authored at least 27 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Optimal transport features for morphometric population analysis.

Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim, Joseph Piven, Stephen R. Dager, Martin Styner, Stephen R. Aylward, Andinet Enquobahrie

Medical Image Anal., 2023

2022

NousNav: A low-cost neuronavigation system for deployment in lower-resource settings.

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

Int. J. Comput. Assist. Radiol. Surg., 2022

Thin shell demons for dental scan registration.

Pranjal Sahu, Samuel Gerber, Qingyu Zhao, Tung Nguyen, Matt McCormick, Beatriz Paniagua, Jared Vicory

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Saddlepoints in Unsupervised Least Squares.

Samuel Gerber

CoRR, 2021

2020

Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis.

Samuel Gerber, Marc Niethammer

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Adversarial Data Augmentation via Deformation Statistics.

Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Image-Based Methods for Phase Estimation, Gating, and Temporal Superresolution of Cardiac Ultrasound.

Deepak Roy Chittajallu, Matthew McCormick, Samuel Gerber, Tomasz J. Czernuszewicz, Ryan C. Gessner, Monte S. Willis, Marc Niethammer, Roland Kwitt, Stephen R. Aylward

IEEE Trans. Biomed. Eng., 2019

Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images.

Dhruv Sharma, Zahil Shanis, Chandan K. Reddy, Samuel Gerber, Andinet Enquobahrie

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training.

Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018

Exploratory Population Analysis with Unbalanced Optimal Transport.

Samuel Gerber, Marc Niethammer, Martin Styner, Stephen R. Aylward

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Scoliosis screening and monitoring using self contained ultrasound and neural networks.

Hastings Greer, Samuel Gerber, Marc Niethammer, Roland Kwitt, Matt McCormick, Deepak Roy Chittajallu, Neal Siekierski, Matthew Oetgen, Kevin Cleary, Stephen R. Aylward

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Vectorized persistent homology representations for characterizing glandular architecture in histology images.

Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan D. Beezley, David Manthey, David A. Gutman, Lee A. D. Cooper

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Multiscale Strategies for Computing Optimal Transport.

Samuel Gerber, Mauro Maggioni

J. Mach. Learn. Res., 2017

Ultrasound Augmentation: Rapid 3-D Scanning for Tracking and On-Body Display.

Maeliss Jallais, Hastings Greer, Samuel Gerber, Matt McCormick, Deepak Roy Chittajallu, Neal Siekierski, Stephen R. Aylward

Proceedings of the Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound, 2017

Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images.

Samuel Gerber, Maeliss Jallais, Hastings Greer, Matt McCormick, Sean Montgomery, Bradley Freeman, Deborah Shipley Kane, Deepak Roy Chittajallu, Neal Siekierski, Stephen R. Aylward

Proceedings of the Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound, 2017

2013

Regularization-free principal curve estimation.

Samuel Gerber, Ross T. Whitaker

J. Mach. Learn. Res., 2013

Visualization of Uncertainty without a Mean.

Kristin C. Potter, Samuel Gerber, Erik W. Anderson

IEEE Computer Graphics and Applications, 2013

2012

Nonparametric Models for High-Dimensional Data Analysis.

Samuel Gerber

PhD thesis, 2012

2011

Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching.

Peihong Zhu, Suyash P. Awate, Samuel Gerber, Ross T. Whitaker

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010

Visual Exploration of High Dimensional Scalar Functions.

Samuel Gerber, Peer-Timo Bremer, Valerio Pascucci, Ross T. Whitaker

IEEE Trans. Vis. Comput. Graph., 2010

Manifold modeling for brain population analysis.

Samuel Gerber, Tolga Tasdizen, P. Thomas Fletcher, Sarang C. Joshi, Ross T. Whitaker

Medical Image Anal., 2010

Learning Multiple Tasks using Manifold Regularization.

Arvind Agarwal, Hal Daumé III, Samuel Gerber

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

On the Manifold Structure of the Space of Brain Images.

Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ross T. Whitaker

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI.

Ran Tao, P. Thomas Fletcher, Samuel Gerber, Ross T. Whitaker

Proceedings of the Information Processing in Medical Imaging, 2009

Dimensionality reduction and principal surfaces via Kernel Map Manifolds.

Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Variational shape detection in microscope images based on joint shape and image feature statistics.

Matthias Fuchs, Samuel Gerber

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps.

Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker

Proceedings of the Machine Learning, 2007