Yogesh Rathi - RankMe

173 papers A* 3A 1B 6C 2Journal 94Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AGFS-tractometry: A novel atlas-guided fine-scale tractometry approach for enhanced along-tract group statistical comparison using diffusion MRI tractography. Medical Image Anal. Ruixi Zheng, Wei Zhang, Yijie Li, Xi Zhu, Zhou Lan, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang
2026	J	`jnl`	DDTracking: A diffusion model-based deep generative framework with local-global spatiotemporal modeling for diffusion MRI tractography. Medical Image Anal. Yijie Li, Wei Zhang, Xi Zhu, Ye Wu, Yogesh Rathi, Lauren J. O'Donnell, Fan Zhang
2026	J	`jnl`	HARP: HARmonizing in-vivo diffusion MRI using Phantom-only training. CoRR Hwihun Jeong, Qiang Liu, Kathryn E. Keenan, Elisabeth A. Wilde, Walter Schneider, Sudhir K. Pathak, Anthony Zuccolotto, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi
2026	J	`jnl`	PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRI. Medical Image Anal. Yohan Jun, Qiang Liu, Ting Gong, Jaejin Cho, Shohei Fujita, Xingwang Yong, Congyu Liao, Marianna E. Schmidt, Shahin Nasr, Camilo Jaimes, Michael S. Gee, Susie Yi Huang, Lipeng Ning, Anastasia Yendiki, Yogesh Rathi, Berkin Bilgic
2026	J	`jnl`	Rapid whole brain motion-robust mesoscale in-vivo MR imaging using multi-scale implicit neural representation. Medical Image Anal. Jun Lyu, Lipeng Ning, William Consagra, Qiang Liu, Richard J. Rushmore, Berkin Bilgic, Yogesh Rathi
2025	J	`jnl`	A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography. CoRR Yui Lo, Yuqian Chen, Dongnan Liu, Leo R. Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Fan Zhang, Tom Weidong Cai, Lauren J. O'Donnell
2025	—	`conf`	A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRI. ISBI Jin Wang, Bocheng Guo, Yijie Li, Junyi Wang, Yuqian Chen, Jarrett Rushmore, Nikos Makris, Yogesh Rathi, Lauren J. O'Donnell, Fan Zhang
2025	J	`jnl`	A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI. Medical Image Anal. William Consagra, Lipeng Ning, Yogesh Rathi
2025	J	`jnl`	AGFS-Tractometry: A Novel Atlas-Guided Fine-Scale Tractometry Approach for Enhanced Along-Tract Group Statistical Comparison Using Diffusion MRI Tractography. CoRR Ruixi Zheng, Wei Zhang, Yijie Li, Xi Zhu, Zhou Lan, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang
2025	J	`jnl`	Cross-Population White Matter Atlas Creation for Concurrent Mapping of Brain Connections in Neonates and Adults with Diffusion MRI Tractography. CoRR Wei Zhang, Yijie Li, Ruixi Zheng, Nir A. Sochen, Yuqian Chen, Leo R. Zekelman, Ofer Pasternak, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang
2025	J	`jnl`	DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI. CoRR Chengjin Li, Yuqian Chen, Nir A. Sochen, Wei Zhang, Carl-Fredrik Westin, Yogesh Rathi, Lauren J. O'Donnell, Ofer Pasternak, Fan Zhang
2025	J	`jnl`	DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI. Comput. Medical Imaging Graph. Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang
2025	J	`jnl`	DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modeling. CoRR Yijie Li, Wei Zhang, Xi Zhu, Ye Wu, Yogesh Rathi, Lauren J. O'Donnell, Fan Zhang
2025	J	`jnl`	DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI. CoRR Bocheng Guo, Jin Wang, Yijie Li, Junyi Wang, Mingyu Gao, Puming Feng, Yuqian Chen, Jarrett Rushmore, Nikos Makris, Yogesh Rathi, Lauren J. O'Donnell, Fan Zhang
2025	J	`jnl`	DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI. IEEE J. Sel. Top. Signal Process. Bocheng Guo, Jin Wang, Yijie Li, Junyi Wang, Mingyu Gao, Puming Feng, Yuqian Chen, Jarrett Rushmore, Nikos Makris, Yogesh Rathi, Lauren J. O'Donnell, Fan Zhang
2025	J	`jnl`	DeepNuParc: A novel deep clustering framework for fine-scale parcellation of brain nuclei using diffusion MRI tractography. NeuroImage Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo R. Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang
2025	J	`jnl`	Is the medical image segmentation problem solved? A survey of current developments and future directions. CoRR Guoping Xu, Jayaram K. Udupa, Jax Luo, Songlin Zhao, Yajun Yu, Scott B. Raymond, Hao Peng, Lipeng Ning, Yogesh Rathi, Wei Liu, You Zhang
2025	J	`jnl`	Rapid Whole Brain Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation. CoRR Jun Lyu, Lipeng Ning, William Consagra, Qiang Liu, Richard J. Rushmore, Berkin Bilgic, Yogesh Rathi
2025	J	`jnl`	TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View. CoRR Yuqian Chen, Leo R. Zekelman, Yui Lo, Suheyla Cetin Karayumak, Tengfei Xue, Yogesh Rathi, Nikos Makris, Fan Zhang, Tom Weidong Cai, Lauren J. O'Donnell
2025	J	`jnl`	TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography. Medical Image Anal. Yuqian Chen, Fan Zhang, Meng Wang, Leo R. Zekelman, Suheyla Cetin Karayumak, Tengfei Xue, Chaoyi Zhang, Yang Song, Jarrett Rushmore, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
2025	—	`conf`	TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds. ISBI Yui Lo, Yuqian Chen, Dongnan Liu, Jon Haitz Legarreta, Leo R. Zekelman, Fan Zhang, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Tom Weidong Cai, Lauren J. O'Donnell
2024	J	`jnl`	A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data. CoRR Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2024	—	`conf`	A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography. ISBI Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo R. Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang
2024	J	`jnl`	A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRI. CoRR Jin Wang, Bocheng Guo, Yijie Li, Junyi Wang, Yuqian Chen, Jarrett Rushmore, Nikos Makris, Yogesh Rathi, Lauren J. O'Donnell, Fan Zhang
2024	—	`conf`	Cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. CDMRI@MICCAI 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	J	`jnl`	Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. CoRR 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	J	`jnl`	DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI. IEEE Trans. Medical Imaging Fan Zhang, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Ofer Pasternak
2024	J	`jnl`	Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning. CoRR Ari Tchetchenian, Leo R. Zekelman, Yuqian Chen, Jarrett Rushmore, Fan Zhang, Edward H. Yeterian, Nikos Makris, Yogesh Rathi, Erik Meijering, Yang Song, Lauren J. O'Donnell
2024	J	`jnl`	EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. CoRR Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang
2024	—	`conf`	Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. MICCAI (7) Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi
2024	J	`jnl`	Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. CoRR Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi
2024	—	`conf`	Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. CDMRI@MICCAI 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 Tristán-Vega, Santiago Aja-Fernández, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman
2024	J	`jnl`	MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. CoRR Nancy R. Newlin, Kurt Schilling, Serge Koudoro, Bramsh Qamar Chandio, Praitayini Kanakaraj, Daniel Moyer, Claire E. Kelly, Sila Genc, Jian Chen, Joseph Yuan-Mou Yang, Ye Wu, Yifei He, Jiawei Zhang, Qingrun Zeng, Fan Zhang, Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak, Walter Schneider, Anurag Gade, Yogesh Rathi, Tom Hendriks, Anna Vilanova, Maxime Chamberland, Tomasz Pieciak, Dominika Ciupek, Antonio Tristán-Vega, Santiago Aja-Fernández, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Christian Ewert, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman
2024	J	`jnl`	Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI. Medical Image Anal. William Consagra, Lipeng Ning, Yogesh Rathi
2024	—	`conf`	SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment. MICCAI (6) Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn
2024	J	`jnl`	The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study. CoRR Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Jarrett Rushmore, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell
2024	J	`jnl`	TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. Medical Image Anal. Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2024	J	`jnl`	TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography. CoRR Yuqian Chen, Fan Zhang, Meng Wang, Leo R. Zekelman, Suheyla Cetin Karayumak, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell
2024	J	`jnl`	TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds. CoRR Yui Lo, Yuqian Chen, Dongnan Liu, Jon Haitz Legarreta, Leo R. Zekelman, Fan Zhang, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell
2024	J	`jnl`	White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging. CoRR Yui Lo, Yuqian Chen, Fan Zhang, Dongnan Liu, Leo R. Zekelman, Suheyla Cetin Karayumak, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell
2023	—	`conf`	A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. ISBI Tengfei Xue, Hazhar Sufi Karimi, William Consagra, Fan Zhang, Weidong Cai, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi
2023	—	`conf`	A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. CDMRI@MICCAI Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2023	—	`conf`	A Deep-Learning Framework for Estimating the Posterior Distribution of the Standard Model of Diffusion Mri. ISBI Hazhar Sufi Karimi, Lipeng Ning, Yogesh Rathi
2023	—	`conf`	DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography. ISBI Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang
2023	J	`jnl`	Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation. NeuroImage Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2023	J	`jnl`	Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes. CoRR Wan Liu, Yuqian Chen, Chuyang Ye, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2023	—	`conf`	In-Vivo Estimation of Axon Radii From Clinical Scanners. ISBI Debdut Mandal, Lipeng Ning, Yogesh Rathi
2023	J	`jnl`	Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. CoRR Jianzhong He, Fan Zhang, Yiang Pan, Yuanjing Feng, Jarrett Rushmore, Erickson Torio, Yogesh Rathi, Nikos Makris, Ron Kikinis, Alexandra J. Golby, Lauren J. O'Donnell
2023	J	`jnl`	SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning. CoRR Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn
2023	J	`jnl`	Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions. Medical Image Anal. Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
2023	—	`conf`	TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. MICCAI (8) Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2023	J	`jnl`	TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation. CoRR Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2023	J	`jnl`	TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. CoRR Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2023	J	`jnl`	TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography. CoRR Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell
2023	—	`conf`	Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography. ISBI Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
2023	—	`conf`	Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method. ISBI Xiao Xu, Yuqian Chen, Leo R. Zekelman, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell
2022	J	`jnl`	A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces. CoRR Kyler Larsen, Arghya Pal, Yogesh Rathi
2022	J	`jnl`	A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. CoRR Tengfei Xue, Fan Zhang, Leo R. Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin Karayumak, Steven D. Pieper, William M. Wells III, Yogesh Rathi, Nikos Makris, Weidong Cai, Lauren J. O'Donnell
2022	J	`jnl`	Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections. CoRR Yuxiang Wei, Tengfei Xue, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell
2022	J	`jnl`	Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH). NeuroImage Alberto De Luca, Suheyla Cetin Karayumak, Alexander Leemans, Yogesh Rathi, Stephan P. Swinnen, Jolien Gooijers, Amanda Clauwaert, Roald Bahr, Stian Bahr Sandmo, Nir A. Sochen, David Kaufmann, Marc Muehlmann, Geert Jan Biessels, Inga Koerte, Ofer Pasternak
2022	J	`jnl`	DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation. CoRR Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2022	J	`jnl`	DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography. CoRR Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang
2022	J	`jnl`	How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon B. Eickhoff, Michael Fox, Loraine Franke, Polina Golland, Daniel Haehn, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub
2022	—	`conf`	Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach. ISBI Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell
2022	J	`jnl`	Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach. CoRR Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell
2022	J	`jnl`	SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. CoRR Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
2022	J	`jnl`	Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions. CoRR Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
2022	—	`conf`	Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. ISBI Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
2022	—	`conf`	TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. MICCAI (1) Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell
2022	J	`jnl`	TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. CoRR Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell
2022	—	`conf`	White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. MICCAI (1) 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	J	`jnl`	White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. CoRR Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Tom Weidong Cai, Lauren J. O'Donnell
2022	J	`jnl`	White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project. NeuroImage Leo R. Zekelman, Fan Zhang, Nikos Makris, Jianzhong He, Yuqian Chen, Tengfei Xue, Daniela Liera, Daniel L. Drane, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
2021	J	`jnl`	A review of deep learning methods for MRI reconstruction. CoRR Arghya Pal, Yogesh Rathi
2021	—	`conf`	Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. MICCAI (7) Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2021	J	`jnl`	Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. CoRR Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2021	B	`conf`	FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. PacificVis Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn
2021	J	`jnl`	Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick Jorge Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen J. Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attye, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed M. Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied A. Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K. Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Pérez, Catherine Lebel, Jess E. Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux
2020	J	`jnl`	Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification. NeuroImage Fan Zhang, Guoqiang Xie, Laura Leung, Michael A. Mooney, Lorenz Epprecht, Isaiah Norton, Yogesh Rathi, Ron Kikinis, Ossama Al-Mefty, Nikos Makris, Alexandra J. Golby, Lauren J. O'Donnell
2020	J	`jnl`	Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Iasonas Kokkinos, Daniel C. Alexander, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Chantal M. W. Tax
2020	J	`jnl`	Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. Medical Image Anal. Fan Zhang, Suheyla Cetin Karayumak, Nico Hoffmann, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
2020	J	`jnl`	FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. CoRR Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn
2020	J	`jnl`	Joint RElaxation-Diffusion Imaging Moments to Probe Neurite Microstructure. IEEE Trans. Medical Imaging Lipeng Ning, Borjan A. Gagoski, Filip Szczepankiewicz, Carl-Fredrik Westin, Yogesh Rathi
2020	—	`conf`	TRAKO: Efficient Transmission of Tractography Data for Visualization. MICCAI (7) Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi
2020	J	`jnl`	TRAKO: Efficient Transmission of Tractography Data for Visualization. CoRR Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi
2019	—	`conf`	Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions. MICCAI (3) Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
2019	J	`jnl`	Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters. NeuroImage Suheyla Cetin Karayumak, Sylvain Bouix, Lipeng Ning, Anthony James, Tim J. Crow, Martha Shenton, Marek Kubicki, Yogesh Rathi
2018	J	`jnl`	A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks. IEEE Trans. Medical Imaging Lipeng Ning, Yogesh Rathi
2018	J	`jnl`	An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage Fan Zhang, Ye Wu, Isaiah Norton, Laura Rigolo, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell
2018	—	`conf`	Harmonizing Diffusion MRI Data Across Magnetic Field Strengths. MICCAI (3) Suheyla Cetin Karayumak, Marek Kubicki, Yogesh Rathi
2018	J	`jnl`	Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder. NeuroImage Ye Wu, Fan Zhang, Nikos Makris, Yuping Ning, Isaiah Norton, Shenglin She, Hongjun Peng, Yogesh Rathi, Yuanjing Feng, Huawang Wu, Lauren J. O'Donnell
2018	J	`jnl`	Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. NeuroImage 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
2018	J	`jnl`	Whole brain white matter connectivity analysis using machine learning: An application to autism. NeuroImage Fan Zhang, Peter Savadjiev, Weidong Cai, Yang Song, Yogesh Rathi, Birkan Tunç, Drew Parker, Tina Kapur, Robert T. Schultz, Nikos Makris, Ragini Verma, Lauren J. O'Donnell
2017	—	`conf`	Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI. Computer-Aided Diagnosis Syeda Maryam, Laura McCrackin, Mark Crowley, Yogesh Rathi, Oleg V. Michailovich
2017	—	`conf`	Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. ISBI Fan Zhang, Pegah Kahali, Yannick Suter, Isaiah Norton, Laura Rigolo, Peter Savadjiev, Yang Song, Yogesh Rathi, Tom Weidong Cai, William M. Wells III, Alexandra J. Golby, Lauren J. O'Donnell
2017	—	`conf`	Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks. MICCAI (1) Lipeng Ning, Yogesh Rathi
2017	J	`jnl`	Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion. NeuroImage Lipeng Ning, Evren Özarslan, Carl-Fredrik Westin, Yogesh Rathi
2017	—	`conf`	Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. MICCAI (1) 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
2016	J	`jnl`	A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. NeuroImage Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi
2016	J	`jnl`	Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging". NeuroImage Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi
2016	J	`jnl`	Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography. Int. J. Comput. Assist. Radiol. Surg. Zhenrui Chen, Yanmei Tie, Olutayo I. Olubiyi, Fan Zhang, Alireza Mehrtash, Laura Rigolo, Pegah Kahali, Isaiah Norton, Ofer Pasternak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
2016	J	`jnl`	Inter-site and inter-scanner diffusion MRI data harmonization. NeuroImage Hengameh Mirzaalian, Lipeng Ning, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix, Oleg V. Michailovich, Gerald Grant, Christine E. Marx, Rajendra A. Morey, Laura A. Flashman, Marie St. George, Thomas W. McAllister, Norberto Andaluz, Lori Shutter, Raul Coimbra, Ross D. Zafonte, Michael J. Coleman, Marek Kubicki, Carl-Fredrik Westin, Murray B. Stein, Martha Elizabeth Shenton, Yogesh Rathi
2015	—	`conf`	A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI. IPMI Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Carl-Fredrik Westin, Yogesh Rathi
2015	J	`jnl`	Estimating Diffusion Propagator and Its Moments Using Directional Radial Basis Functions. IEEE Trans. Medical Imaging Lipeng Ning, Carl-Fredrik Westin, Yogesh Rathi
2015	—	`conf`	Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners. MICCAI (1) Hengameh Mirzaalian, Amicie de Pierrefeu, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix, Marek Kubicki, Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi
2015	J	`jnl`	Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Anal. Lipeng Ning, Frederik B. Laun, Yaniv Gur, Edward V. R. DiBella, Samuel Deslauriers-Gauthier, Thinhinane Megherbi, Aurobrata Ghosh, Mauro Zucchelli, Gloria Menegaz, Rutger Fick, Samuel St-Jean, Michael Paquette, Ramón Aranda, Maxime Descoteaux, Rachid Deriche, Lauren O'Donnell, Yogesh Rathi
2015	J	`jnl`	Sparse deconvolution of higher order tensor for fiber orientation distribution estimation. Artif. Intell. Medicine Yuanjing Feng, Ye Wu, Yogesh Rathi, Carl-Fredrik Westin
2014	B	`conf`	A dual spherical model for multi-shell diffusion imaging. Image Processing Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Carl-Fredrik Westin
2014	—	`conf`	A generalized compressed sensing approach to high angular resolution diffusion imaging. ISBI Oleg V. Michailovich, Yogesh Rathi
2014	J	`jnl`	Fusion of white and gray matter geometry: A framework for investigating brain development. Medical Image Anal. Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Alex R. Smith, Robert T. Schultz, Ragini Verma, Carl-Fredrik Westin
2014	—	`conf`	Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging. MICCAI (2) 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
2014	J	`jnl`	Multi-shell diffusion signal recovery from sparse measurements. Medical Image Anal. Yogesh Rathi, Oleg V. Michailovich, Frederik B. Laun, Kawin Setsompop, Patricia Ellen Grant, Carl-Fredrik Westin
2014	—	`ch.`	Preliminary Findings in Diagnostic Prediction of Schizophrenia Using Diffusion Tensor Imaging. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data Yogesh Rathi, Martha Elizabeth Shenton, Carl-Fredrik Westin
2014	B	`conf`	Resolving complex fibre architecture by means of sparse spherical deconvolution in the presence of isotropic diffusion. Image Processing Quan Zhou, Oleg V. Michailovich, Yogesh Rathi
2014	J	`jnl`	Spatially regularized reconstruction of fibre orientation distributions in the presence of isotropic diffusion. CoRR Quan Zhou, Oleg V. Michailovich, Yogesh Rathi
2014	—	`ch.`	The Estimation of Free-Water Corrected Diffusion Tensors. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data Ofer Pasternak, Klaus H. Maier-Hein, Christian F. Baumgartner, Martha Elizabeth Shenton, Yogesh Rathi, Carl-Fredrik Westin
2013	—	`conf`	Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology. MICCAI (1) Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Alex R. Smith, Robert T. Schultz, Ragini Verma, Carl-Fredrik Westin
2013	—	`conf`	Comparing Simultaneous Multi-slice Diffusion Acquisitions. CDMRI/MMBC@MICCAI Yogesh Rathi, Borjan A. Gagoski, Kawin Setsompop, Patricia Ellen Grant, Carl-Fredrik Westin
2013	—	`conf`	Diffusion Propagator Estimation Using Radial Basis Functions. CDMRI/MMBC@MICCAI Yogesh Rathi, Marc Niethammer, Frederik B. Laun, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin
2013	—	`conf`	Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework. MICCAI (3) Yogesh Rathi, Borjan A. Gagoski, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin
2013	B	`conf`	Fiber feature map based landmark initialization for highly deformable DTI registration. Image Processing Aditya Gupta, Matthew Toews, Ravikiran Janardhana, Yogesh Rathi, John H. Gilmore, Maria L. Escolar, Martin Styner
2013	—	`conf`	On Describing Human White Matter Anatomy: The White Matter Query Language. MICCAI (1) Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Elizabeth Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin
2012	J	`jnl`	Filtering in the Diffeomorphism Group and the Registration of Point Sets. IEEE Trans. Image Process. Yi Gao, Yogesh Rathi, Sylvain Bouix, Allen R. Tannenbaum
2012	J	`jnl`	Joint Modeling of Anatomical and Functional Connectivity for Population Studies. IEEE Trans. Medical Imaging Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
2012	—	`conf`	Multi-scale Characterization of White Matter Tract Geometry. MICCAI (3) Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Ragini Verma, Carl-Fredrik Westin
2012	—	`conf`	Reconstruction of HARDI using compressed sensing and its application to contrast HARDI. MMBIA Sudipto Dolui, Iván C. Salgado Patarroyo, Oleg V. Michailovich, Yogesh Rathi
2011	J	`jnl`	A full bi-tensor neural tractography algorithm using the unscented Kalman filter. EURASIP J. Adv. Signal Process. Stefan Lienhard, James G. Malcolm, Carl-Fredrik Westin, Yogesh Rathi
2011	—	`conf`	A swarm tracking approach for stochastic white matter tractography. ISBI Yuanjing Feng, Peter Savadjiev, Yogesh Rathi, Meina Quan, Zhejin Wang, Carl-Fredrik Westin
2011	—	`conf`	Compressed sensing of diffusion MRI data using spatial regularization and positivity constraints. ISBI Sudipto Dolui, Oleg V. Michailovich, Yogesh Rathi
2011	—	`conf`	Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps. MBIA Daniel Forsberg, Yogesh Rathi, Sylvain Bouix, Demian Wassermann, Hans Knutsson, Carl-Fredrik Westin
2011	—	`conf`	Sparse Multi-Shell Diffusion Imaging. MICCAI (2) Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Sylvain Bouix, Martha Elizabeth Shenton, Carl-Fredrik Westin
2011	J	`jnl`	Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging. IEEE Trans. Medical Imaging Oleg V. Michailovich, Yogesh Rathi, Sudipto Dolui
2011	—	`conf`	White Matter Bundle Registration and Population Analysis Based on Gaussian Processes. IPMI Demian Wassermann, Yogesh Rathi, Sylvain Bouix, Marek Kubicki, Ron Kikinis, Martha Elizabeth Shenton, Carl-Fredrik Westin
2010	—	`conf`	A Geometry-Based Particle Filtering Approach to White Matter Tractography. MICCAI (2) Peter Savadjiev, Yogesh Rathi, James G. Malcolm, Martha Elizabeth Shenton, Carl-Fredrik Westin
2010	J	`jnl`	A filtered approach to neural tractography using the Watson directional function. Medical Image Anal. James G. Malcolm, Oleg V. Michailovich, Sylvain Bouix, Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi
2010	—	`conf`	Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging. MICCAI (1) Yogesh Rathi, James G. Malcolm, Oleg V. Michailovich, Jill M. Goldstein, Larry J. Seidman, Robert W. McCarley, Carl-Fredrik Westin, Martha Elizabeth Shenton
2010	J	`jnl`	Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations. IEEE Trans. Image Process. Namrata Vaswani, Yogesh Rathi, Anthony J. Yezzi, Allen R. Tannenbaum
2010	—	`conf`	Disease classification: a probabilistic approach. ISBI Yogesh Rathi, James G. Malcolm, Sylvain Bouix, Robert W. McCarley, Larry J. Seidman, Jill M. Goldstein, Carl-Fredrik Westin, Martha Elizabeth Shenton
2010	—	`conf`	Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing. MICCAI (1) Oleg V. Michailovich, Yogesh Rathi
2010	J	`jnl`	Filtered Multitensor Tractography. IEEE Trans. Medical Imaging James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi
2010	—	`conf`	Joint Generative Model for fMRI/DWI and Its Application to Population Studies. MICCAI (1) Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
2010	J	`jnl`	On Approximation of Orientation Distributions by Means of Spherical Ridgelets. IEEE Trans. Image Process. Oleg V. Michailovich, Yogesh Rathi
2010	J	`jnl`	Spatially regularized compressed sensing of diffusion MRI data CoRR Oleg V. Michailovich, Yogesh Rathi, Sudipto Dolui
2010	—	`conf`	Spatially regularized q-ball imaging using spherical ridgelets. ISBI Oleg V. Michailovich, Yogesh Rathi
2009	J	`jnl`	Directional functions for orientation distribution estimation. Medical Image Anal. Yogesh Rathi, Oleg V. Michailovich, Martha Elizabeth Shenton, Sylvain Bouix
2009	—	`conf`	Neural Tractography Using an Unscented Kalman Filter. IPMI James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi
2009	—	`conf`	Two-Tensor Tractography Using a Constrained Filter. MICCAI (1) James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi
2008	J	`jnl`	A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors. IEEE Trans. Pattern Anal. Mach. Intell. Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum
2008	—	`conf`	Directional functions for orientation distribution estimation. ISBI Yogesh Rathi, Oleg V. Michailovich, Sylvain Bouix, Martha Elizabeth Shenton
2008	—	`conf`	Fast approximate curve evolution. Real-Time Image Processing James G. Malcolm, Yogesh Rathi, Anthony J. Yezzi, Allen R. Tannenbaum
2008	B	`conf`	Fast approximate surface evolution in arbitrary dimension. Image Processing James G. Malcolm, Yogesh Rathi, Anthony J. Yezzi, Allen R. Tannenbaum
2008	—	`conf`	Label Space: A Coupled Multi-shape Representation. MICCAI (2) James G. Malcolm, Yogesh Rathi, Martha Elizabeth Shenton, Allen R. Tannenbaum
2008	C	`conf`	Label Space: A Multi-object Shape Representation. IWCIA James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum
2008	—	`conf`	On approximation of orientation distributions by means of spherical ridgelets. ISBI Oleg V. Michailovich, Yogesh Rathi
2008	—	`conf`	Orientation distribution estimation for Q-ball imaging. CVPR Workshops Yogesh Rathi, Oleg V. Michailovich, Sylvain Bouix, Martha Elizabeth Shenton
2008	B	`conf`	Segmenting images analytically in shape space. Image Processing Yogesh Rathi, Samuel Dambreville, Marc Niethammer, James G. Malcolm, James J. Levitt, Martha Elizabeth Shenton, Allen R. Tannenbaum
2007	J	`jnl`	A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior. IEEE Trans. Image Process. Yogesh Rathi, Namrata Vaswani, Allen R. Tannenbaum
2007	A*	`conf`	A Graph Cut Approach to Image Segmentation in Tensor Space. CVPR James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum
2007	—	`conf`	Graph Cut Segmentation with Nonlinear Shape Priors. ICIP (4) James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum
2007	J	`jnl`	Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow. IEEE Trans. Image Process. Oleg V. Michailovich, Yogesh Rathi, Allen R. Tannenbaum
2007	A*	`conf`	Multi-Object Tracking Through Clutter Using Graph Cuts. ICCV James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum
2007	A*	`conf`	Segmenting Images on the Tensor Manifold. CVPR Yogesh Rathi, Allen R. Tannenbaum, Oleg V. Michailovich
2007	J	`jnl`	Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. Yogesh Rathi, Namrata Vaswani, Allen R. Tannenbaum, Anthony J. Yezzi
2007	A	`conf`	Tracking Through Clutter Using Graph Cuts. BMVC James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum
2006	—	`conf`	A Shape-Based Approach to Robust Image Segmentation. ICIAR (1) Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum
2006	—	`conf`	Comparative Analysis of Kernel Methods for Statistical Shape Learning. CVAMIA Yogesh Rathi, Samuel Dambreville, Allen R. Tannenbaum
2006	—	`—`	Filtering for Closed Curves. Yogesh Rathi
2006	—	`conf`	Particle Filtering with Dynamic Shape Priors. ICIAR (1) Yogesh Rathi, Samuel Dambreville, Allen R. Tannenbaum
2006	—	`conf`	Particle Filters for Infinite (or Large) Dimensional State Spaces- Part 1. ICASSP (3) Namrata Vaswani, Anthony J. Yezzi, Yogesh Rathi, Allen R. Tannenbaum
2006	—	`conf`	Shape-Based Approach to Robust Image Segmentation using Kernel PCA. CVPR (1) Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum
2006	—	`conf`	Time-varying Finite Dimensional Basis for Tracking Contour Deformations. CDC Namrata Vaswani, Anthony J. Yezzi, Yogesh Rathi, Allen R. Tannenbaum
2006	C	`conf`	Tracking deformable objects with unscented Kalman filtering and geometric active contours. ACC Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum
2005	—	`conf`	Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects. CVPR (2) Yogesh Rathi, Namrata Vaswani, Allen R. Tannenbaum, Anthony J. Yezzi