Yogesh Rathi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
8
Active years
2005–2024
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | MICCAI | Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. | Mohammed Munzer Dwedari, William Consagra, Philip Mller, zgn Turgut, Daniel Rueckert, Yogesh Rathi |
| 2024 | MICCAI | SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment. | Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn |
| 2024 | MICCAI | Cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. | Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell |
| 2024 | MICCAI | Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. | Nancy Newlin, Kurt Schilling, Serge Koudoro, Bramsh Qamar Chandio, Praitayini Kanakaraj, Daniel Moyer, Claire E. Kelly, Sila Genc, Joseph Yuan-Mou Yang, Ye Wu, Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak, Walter Schneider, Anurag Gade, William Consagra, Yogesh Rathi, Tom Hendriks, Anna Vilanova, Maxime Chamberland, Tomasz Pieciak, Dominika Ciupek, Antonio Tristn-Vega, Santiago Aja-Fernndez, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman |
| 2023 | MICCAI | A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. | Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell |
| 2023 | MICCAI | TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. | Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell |
| 2022 | MICCAI | White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. | Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell |
| 2022 | MICCAI | TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. | Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell |
| 2021 | MICCAI | Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. | Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell |
| 2020 | MICCAI | TRAKO: Efficient Transmission of Tractography Data for Visualization. | Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi |
| 2019 | MICCAI | Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions. | Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell |
| 2018 | MICCAI | Harmonizing Diffusion MRI Data Across Magnetic Field Strengths. | Suheyla Cetin Karayumak, Marek Kubicki, Yogesh Rathi |
| 2017 | MICCAI | Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks. | Lipeng Ning, Yogesh Rathi |
| 2017 | MICCAI | Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. | Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell |
| 2015 | MICCAI | Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners. | Hengameh Mirzaalian, Amicie de Pierrefeu, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix, Marek Kubicki, Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi |
| 2014 | MICCAI | Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging. | Yogesh Rathi, Lipeng Ning, Oleg V. Michailovich, HuiJun Liao, Borjan A. Gagoski, Patricia Ellen Grant, Martha Elizabeth Shenton, Robert Stern, Carl-Fredrik Westin, Alexander P. Lin |
| 2013 | MICCAI | Comparing Simultaneous Multi-slice Diffusion Acquisitions. | Yogesh Rathi, Borjan A. Gagoski, Kawin Setsompop, Patricia Ellen Grant, Carl-Fredrik Westin |
| 2013 | MICCAI | Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework. | Yogesh Rathi, Borjan A. Gagoski, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin |
| 2013 | MICCAI | Diffusion Propagator Estimation Using Radial Basis Functions. | Yogesh Rathi, Marc Niethammer, Frederik B. Laun, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin |
| 2013 | MICCAI | Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology. | Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Alex R. Smith, Robert T. Schultz, Ragini Verma, Carl-Fredrik Westin |
| 2013 | MICCAI | On Describing Human White Matter Anatomy: The White Matter Query Language. | Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Elizabeth Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin |
| 2012 | MICCAI | Multi-scale Characterization of White Matter Tract Geometry. | Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Ragini Verma, Carl-Fredrik Westin |
| 2011 | MICCAI | Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps. | Daniel Forsberg, Yogesh Rathi, Sylvain Bouix, Demian Wassermann, Hans Knutsson, Carl-Fredrik Westin |
| 2011 | MICCAI | Sparse Multi-Shell Diffusion Imaging. | Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Sylvain Bouix, Martha Elizabeth Shenton, Carl-Fredrik Westin |
| 2010 | MICCAI | Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing. | Oleg V. Michailovich, Yogesh Rathi |
| 2010 | MICCAI | Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging. | Yogesh Rathi, James G. Malcolm, Oleg V. Michailovich, Jill M. Goldstein, Larry J. Seidman, Robert W. McCarley, Carl-Fredrik Westin, Martha Elizabeth Shenton |
| 2010 | MICCAI | A Geometry-Based Particle Filtering Approach to White Matter Tractography. | Peter Savadjiev, Yogesh Rathi, James G. Malcolm, Martha Elizabeth Shenton, Carl-Fredrik Westin |
| 2010 | MICCAI | Joint Generative Model for fMRI/DWI and Its Application to Population Studies. | Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland |
| 2009 | MICCAI | Two-Tensor Tractography Using a Constrained Filter. | James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi |
| 2008 | CVPR | Orientation distribution estimation for Q-ball imaging. | Yogesh Rathi, Oleg V. Michailovich, Sylvain Bouix, Martha Elizabeth Shenton |
| 2008 | IWCIA | Label Space: A Multi-object Shape Representation. | James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum |
| 2008 | MICCAI | Label Space: A Coupled Multi-shape Representation. | James G. Malcolm, Yogesh Rathi, Martha Elizabeth Shenton, Allen R. Tannenbaum |
| 2007 | BMVC | Tracking Through Clutter Using Graph Cuts. | James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum |
| 2007 | CVPR | A Graph Cut Approach to Image Segmentation in Tensor Space. | James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum |
| 2007 | CVPR | Segmenting Images on the Tensor Manifold. | Yogesh Rathi, Allen R. Tannenbaum, Oleg V. Michailovich |
| 2007 | ICCV | Multi-Object Tracking Through Clutter Using Graph Cuts. | James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum |
| 2007 | ICIP | Graph Cut Segmentation with Nonlinear Shape Priors. | James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum |
| 2006 | CVPR | Shape-Based Approach to Robust Image Segmentation using Kernel PCA. | Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum |
| 2006 | ECCV | Comparative Analysis of Kernel Methods for Statistical Shape Learning. | Yogesh Rathi, Samuel Dambreville, Allen R. Tannenbaum |
| 2006 | ICASSP | Particle Filters for Infinite (or Large) Dimensional State Spaces- Part 1. | Namrata Vaswani, Anthony J. Yezzi, Yogesh Rathi, Allen R. Tannenbaum |
| 2005 | CVPR | Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects. | Yogesh Rathi, Namrata Vaswani, Allen R. Tannenbaum, Anthony J. Yezzi |