Yogesh Rathi

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 70

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

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
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning. CoRR (2024)
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
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI. IEEE Trans. Medical Imaging 43 (3) (2024)
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
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. Medical Image Anal. 94 (2024)
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
TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography. CoRR (2024)
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
Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. CoRR (2024)
William Consagra, Lipeng Ning, Yogesh Rathi
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI. Medical Image Anal. 93 (2024)
Yui Lo, Yuqian Chen, Fan Zhang, Dongnan Liu, Leo R. Zekelman, Suheyla Cetin Karayumak, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell
White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging. CoRR (2024)
Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data. CoRR (2024)
Debdut Mandal, Lipeng Ning, Yogesh Rathi
In-Vivo Estimation of Axon Radii From Clinical Scanners. ISBI (2023)
Tengfei Xue, Hazhar Sufi Karimi, William Consagra, Fan Zhang, Weidong Cai, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi
A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. ISBI (2023)
Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. MICCAI (8) (2023)
Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation. NeuroImage 273 (2023)
Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography. CoRR (2023)
Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. CDMRI@MICCAI (2023)
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
Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. CoRR (2023)
Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
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. 85 (2023)
Xiao Xu, Yuqian Chen, Leo R. Zekelman, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell
Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method. ISBI (2023)
Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography. ISBI (2023)
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
DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography. ISBI (2023)
Hazhar Sufi Karimi, Lipeng Ning, Yogesh Rathi
A Deep-Learning Framework for Estimating the Posterior Distribution of the Standard Model of Diffusion Mri. ISBI (2023)
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
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. CoRR (2023)
Wan Liu, Yuqian Chen, Chuyang Ye, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes. CoRR (2023)
Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn
SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning. CoRR (2023)
Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation. CoRR (2023)
Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. CoRR (2022)
Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. ISBI (2022)
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
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. CoRR (2022)
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
A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. CoRR (2022)
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
Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH). NeuroImage 259 (2022)
Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. CoRR (2022)
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
White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project. NeuroImage 246 (2022)
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
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. MICCAI (1) (2022)
Kyler Larsen, Arghya Pal, Yogesh Rathi
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces. CoRR (2022)
Yuxiang Wei, Tengfei Xue, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell
Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections. CoRR (2022)
Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell
Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach. ISBI (2022)
Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon 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
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20 (4) (2022)
Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation. CoRR (2022)
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
DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography. CoRR (2022)
Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
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 (2022)
Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell
Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach. CoRR (2022)
Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell
TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. MICCAI (1) (2022)
Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. CoRR (2021)
Arghya Pal, Yogesh Rathi
A review of deep learning methods for MRI reconstruction. CoRR (2021)
Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. MICCAI (7) (2021)
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 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-Perez, 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
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243 (2021)
Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. PacificVis (2021)
Lipeng Ning, Borjan A. Gagoski, Filip Szczepankiewicz, Carl-Fredrik Westin, Yogesh Rathi
Joint RElaxation-Diffusion Imaging Moments to Probe Neurite Microstructure. IEEE Trans. Medical Imaging 39 (3) (2020)
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
Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification. NeuroImage 220 (2020)
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
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage 221 (2020)
Fan Zhang, Suheyla Cetin Karayumak, Nico Hoffmann, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. Medical Image Anal. 65 (2020)
Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi
TRAKO: Efficient Transmission of Tractography Data for Visualization. CoRR (2020)
Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. CoRR (2020)
Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi
TRAKO: Efficient Transmission of Tractography Data for Visualization. MICCAI (7) (2020)
Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions. MICCAI (3) (2019)
Suheyla Cetin Karayumak, Sylvain Bouix, Lipeng Ning, Anthony James, Tim J. Crow, Martha Shenton, Marek Kubicki, Yogesh Rathi
Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters. NeuroImage 184 (2019)
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
Whole brain white matter connectivity analysis using machine learning: An application to autism. NeuroImage 172 (2018)
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
Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. NeuroImage 171 (2018)
Lipeng Ning, Yogesh Rathi
A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks. IEEE Trans. Medical Imaging 37 (9) (2018)
Suheyla Cetin Karayumak, Marek Kubicki, Yogesh Rathi
Harmonizing Diffusion MRI Data Across Magnetic Field Strengths. MICCAI (3) (2018)
Fan Zhang, Ye Wu, Isaiah Norton, Laura Rigolo, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell
An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage 179 (2018)
Ye Wu, Fan Zhang, Nikos Makris, Yuping Ning, Isaiah Norton, Shenglin She, Hongjun Peng, Yogesh Rathi, Yuanjing Feng, Huawang Wu, Lauren J. O'Donnell
Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder. NeuroImage 181 (2018)
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
Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. ISBI (2017)
Lipeng Ning, Evren Özarslan, Carl-Fredrik Westin, Yogesh Rathi
Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion. NeuroImage 146 (2017)
Lipeng Ning, Yogesh Rathi
Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks. MICCAI (1) (2017)
Syeda Maryam, Laura McCrackin, Mark Crowley, Yogesh Rathi, Oleg V. Michailovich
Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI. Medical Imaging: Computer-Aided Diagnosis (2017)
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
Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. MICCAI (1) (2017)
Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi
Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging". NeuroImage 142 (2016)
Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi
A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. NeuroImage 125 (2016)
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
Inter-site and inter-scanner diffusion MRI data harmonization. NeuroImage 135 (2016)
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
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. 11 (8) (2016)
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
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Anal. 26 (1) (2015)
Hengameh Mirzaalian, Amicie de Pierrefeu, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix, Marek Kubicki, Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi
Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners. MICCAI (1) (2015)
Yuanjing Feng, Ye Wu, Yogesh Rathi, Carl-Fredrik Westin
Sparse deconvolution of higher order tensor for fiber orientation distribution estimation. Artif. Intell. Medicine 65 (3) (2015)
Lipeng Ning, Carl-Fredrik Westin, Yogesh Rathi
Estimating Diffusion Propagator and Its Moments Using Directional Radial Basis Functions. IEEE Trans. Medical Imaging 34 (10) (2015)
Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Carl-Fredrik Westin, Yogesh Rathi
A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI. IPMI (2015)
Quan Zhou, Oleg V. Michailovich, Yogesh Rathi
Resolving complex fibre architecture by means of sparse spherical deconvolution in the presence of isotropic diffusion. Medical Imaging: Image Processing (2014)
Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Carl-Fredrik Westin
A dual spherical model for multi-shell diffusion imaging. Medical Imaging: Image Processing (2014)
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
Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging. MICCAI (2) (2014)
Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Alex R. Smith, Robert T. Schultz, Ragini Verma, Carl-Fredrik Westin
Fusion of white and gray matter geometry: A framework for investigating brain development. Medical Image Anal. 18 (8) (2014)
Oleg V. Michailovich, Yogesh Rathi
A generalized compressed sensing approach to high angular resolution diffusion imaging. ISBI (2014)
Quan Zhou, Oleg V. Michailovich, Yogesh Rathi
Spatially regularized reconstruction of fibre orientation distributions in the presence of isotropic diffusion. CoRR (2014)
Yogesh Rathi, Oleg V. Michailovich, Frederik B. Laun, Kawin Setsompop, Patricia Ellen Grant, Carl-Fredrik Westin
Multi-shell diffusion signal recovery from sparse measurements. Medical Image Anal. 18 (7) (2014)
Yogesh Rathi, Marc Niethammer, Frederik B. Laun, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin
Diffusion Propagator Estimation Using Radial Basis Functions. CDMRI/MMBC@MICCAI (2013)
Yogesh Rathi, Borjan A. Gagoski, Kawin Setsompop, Patricia Ellen Grant, Carl-Fredrik Westin
Comparing Simultaneous Multi-slice Diffusion Acquisitions. CDMRI/MMBC@MICCAI (2013)
Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Elizabeth Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin
On Describing Human White Matter Anatomy: The White Matter Query Language. MICCAI (1) (2013)
Aditya Gupta, Matthew Toews, Ravikiran Janardhana, Yogesh Rathi, John H. Gilmore, Maria L. Escolar, Martin Styner
Fiber feature map based landmark initialization for highly deformable DTI registration. Medical Imaging: Image Processing (2013)
Yogesh Rathi, Borjan A. Gagoski, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin
Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework. MICCAI (3) (2013)
Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Alex R. Smith, Robert T. Schultz, Ragini Verma, Carl-Fredrik Westin
Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology. MICCAI (1) (2013)
Yi Gao, Yogesh Rathi, Sylvain Bouix, Allen R. Tannenbaum
Filtering in the Diffeomorphism Group and the Registration of Point Sets. IEEE Trans. Image Process. 21 (10) (2012)
Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
Joint Modeling of Anatomical and Functional Connectivity for Population Studies. IEEE Trans. Medical Imaging 31 (2) (2012)
Sudipto Dolui, Iván C. Salgado Patarroyo, Oleg V. Michailovich, Yogesh Rathi
Reconstruction of HARDI using compressed sensing and its application to contrast HARDI. MMBIA (2012)
Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Ragini Verma, Carl-Fredrik Westin
Multi-scale Characterization of White Matter Tract Geometry. MICCAI (3) (2012)
Demian Wassermann, Yogesh Rathi, Sylvain Bouix, Marek Kubicki, Ron Kikinis, Martha Elizabeth Shenton, Carl-Fredrik Westin
White Matter Bundle Registration and Population Analysis Based on Gaussian Processes. IPMI (2011)
Sudipto Dolui, Oleg V. Michailovich, Yogesh Rathi
Compressed sensing of diffusion MRI data using spatial regularization and positivity constraints. ISBI (2011)
Oleg V. Michailovich, Yogesh Rathi, Sudipto Dolui
Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging. IEEE Trans. Medical Imaging 30 (5) (2011)
Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Sylvain Bouix, Martha Elizabeth Shenton, Carl-Fredrik Westin
Sparse Multi-Shell Diffusion Imaging. MICCAI (2) (2011)
Yuanjing Feng, Peter Savadjiev, Yogesh Rathi, Meina Quan, Zhejin Wang, Carl-Fredrik Westin
A swarm tracking approach for stochastic white matter tractography. ISBI (2011)
Stefan Lienhard, James G. Malcolm, Carl-Fredrik Westin, Yogesh Rathi
A full bi-tensor neural tractography algorithm using the unscented Kalman filter. EURASIP J. Adv. Signal Process. 2011 (2011)
Daniel Forsberg, Yogesh Rathi, Sylvain Bouix, Demian Wassermann, Hans Knutsson, Carl-Fredrik Westin
Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps. MBIA (2011)
James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi
Filtered Multitensor Tractography. IEEE Trans. Medical Imaging 29 (9) (2010)

Yogesh Rathi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yogesh Rathi