Manifold modeling for brain population analysis S Gerber, T Tasdizen, PT Fletcher, S Joshi, R Whitaker, ... Medical image analysis 14 (5), 643-653, 2010 | 160 | 2010 |
Visual exploration of high dimensional scalar functions S Gerber, PT Bremer, V Pascucci, R Whitaker IEEE transactions on visualization and computer graphics 16 (6), 1271-1280, 2010 | 137 | 2010 |
Learning multiple tasks using manifold regularization A Agarwal, H Daume, S Gerber Advances in neural information processing systems, 46-54, 2010 | 126 | 2010 |
A variational image-based approach to the correction of susceptibility artifacts in the alignment of diffusion weighted and structural MRI R Tao, PT Fletcher, S Gerber, RT Whitaker Information Processing in Medical Imaging: 21st International Conference …, 2009 | 71 | 2009 |
On the manifold structure of the space of brain images S Gerber, T Tasdizen, S Joshi, R Whitaker Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 67 | 2009 |
s-CorrPlot: an interactive scatterplot for exploring correlation S McKenna, M Meyer, C Gregg, S Gerber Journal of Computational and Graphical Statistics 25 (2), 445-463, 2016 | 54 | 2016 |
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian eigenmaps S Gerber, T Tasdizen, R Whitaker Proceedings of the 24th international conference on Machine learning, 281-288, 2007 | 50 | 2007 |
Visualization of Uncertainty Without a Mean K Potter, S Gerber, EW Anderson Visualization Viewpoints, 2013 | 48 | 2013 |
Multiscale strategies for computing optimal transport S Gerber, M Maggioni Journal of Machine Learning Research, 2017 | 38 | 2017 |
Dimensionality reduction and principal surfaces via kernel map manifolds S Gerber, T Tasdizen, R Whitaker 2009 IEEE 12th international conference on computer vision, 529-536, 2009 | 30 | 2009 |
Data Analysis with the Morse-Smale Complex: The msr Package for R S Gerber, K Potter Journal of Statistical Software, 2012 | 29 | 2012 |
Regularization Free Principal Curve Estimation S Gerber, R Whitaker Journal of Machine Learning Research, 2013 | 28 | 2013 |
Morse-Smale Regression S Gerber, R Oliver, PT Bremer, V Pascucci, RT Whitaker Journal of Computational and Graphical Statistics, 2012 | 25 | 2012 |
Intramodality domain adaptation using self ensembling and adversarial training Z Shanis, S Gerber, M Gao, A Enquobahrie Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 24 | 2019 |
Active learning technique for multimodal brain tumor segmentation using limited labeled images D Sharma, Z Shanis, CK Reddy, S Gerber, A Enquobahrie Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 17 | 2019 |
Automatic estimation of the optic nerve sheath diameter from ultrasound images S Gerber, M Jallais, H Greer, M McCormick, S Montgomery, B Freeman, ... Imaging for Patient-Customized Simulations and Systems for Point-of-Care …, 2017 | 17 | 2017 |
Adversarial data augmentation via deformation statistics S Olut, Z Shen, Z Xu, S Gerber, M Niethammer Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
Fast shape-based nearest-neighbor search for brain MRIs using hierarchical feature matching P Zhu, SP Awate, S Gerber, R Whitaker Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 10 | 2011 |
NousNav: a low-cost neuronavigation system for deployment in lower-resource settings É Léger, S Horvath, JC Fillion-Robin, D Allemang, S Gerber, P Juvekar, ... International Journal of Computer Assisted Radiology and Surgery 17 (9 …, 2022 | 9 | 2022 |
Image-based methods for phase estimation, gating, and temporal superresolution of cardiac ultrasound DR Chittajallu, M McCormick, S Gerber, TJ Czernuszewicz, R Gessner, ... IEEE Transactions on Biomedical Engineering 66 (1), 72-79, 2018 | 6 | 2018 |