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2020 – today
- 2024
[j42]William Consagra, Lipeng Ning
, Yogesh Rathi:
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI. Medical Image Anal. 93: 103105 (2024)- [j41]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: 103120 (2024) - [j40]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): 1191-1202 (2024) - [c72]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:
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography. ISBI 2024: 1-5 - [c71]Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi:
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. MICCAI (7) 2024: 307-317 - [c70]Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn:
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment. MICCAI (6) 2024: 575-585 - [i31]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 abs/2401.04579 (2024) - [i30]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 abs/2403.19001 (2024) - [i29]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 abs/2407.08883 (2024) - [i28]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 abs/2407.15132 (2024) - [i27]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 abs/2407.19460 (2024) - [i26]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:
EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. CoRR abs/2409.07020 (2024) - [i25]Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi:
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. CoRR abs/2409.09387 (2024) - [i24]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:
The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study. CoRR abs/2410.15108 (2024) - [i23]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:
TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds. CoRR abs/2410.22099 (2024) - 2023
- [j39]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: 102759 (2023) - [j38]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: 120086 (2023) - [c69]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: 1-5 - [c68]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: 1-4 - [c67]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: 1-5 - [c66]Debdut Mandal, Lipeng Ning, Yogesh Rathi:
In-Vivo Estimation of Axon Radii From Clinical Scanners. ISBI 2023: 1-5 - [c65]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: 1-4 - [c64]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: 1-5 - [c63]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: 165-176 - [c62]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: 409-419 - [i22]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 abs/2301.01911 (2023) - [i21]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 abs/2303.09124 (2023) - [i20]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 abs/2305.06459 (2023) - [i19]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 abs/2306.05623 (2023) - [i18]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 abs/2307.03982 (2023) - [i17]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 abs/2307.09000 (2023) - 2022
- [j37]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: 118739 (2022) - [j36]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: 119439 (2022) - [j35]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:
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20(4): 943-964 (2022) - [c61]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: 1-5 - [c60]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: 1-5 - [c59]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: 174-184 - [c58]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: 196-206 - [i16]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 abs/2201.12528 (2022) - [i15]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 abs/2202.03595 (2022) - [i14]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 abs/2205.00627 (2022) - [i13]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 abs/2207.02327 (2022) - [i12]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 abs/2207.02402 (2022) - [i11]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 abs/2207.08975 (2022) - [i10]Kyler Larsen, Arghya Pal, Yogesh Rathi:
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces. CoRR abs/2208.11472 (2022) - [i9]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 abs/2210.07411 (2022) - [i8]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 abs/2211.07398 (2022) - [i7]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 abs/2211.08119 (2022) - 2021
- [j34]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:
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021) - [c57]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: 116-125 - [c56]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: 497-507 - [i6]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 abs/2107.04938 (2021) - [i5]Arghya Pal, Yogesh Rathi:
A review of deep learning methods for MRI reconstruction. CoRR abs/2109.08618 (2021) - 2020
- [j33]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: 101761 (2020) - [j32]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: 117063 (2020) - [j31]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: 117128 (2020) - [j30]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): 668-677 (2020) - [c55]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: 322-332 - [i4]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 abs/2004.13630 (2020) - [i3]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 abs/2005.08090 (2020)
2010 – 2019
- 2019
- [j29]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: 180-200 (2019) - [c54]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: 599-608 - 2018
- [j28]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: 341-354 (2018) - [j27]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: 826-837 (2018) - [j26]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: 429-447 (2018) - [j25]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: 16-29 (2018) - [j24]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): 1957-1969 (2018) - [c53]Suheyla Cetin Karayumak, Marek Kubicki, Yogesh Rathi:
Harmonizing Diffusion MRI Data Across Magnetic Field Strengths. MICCAI (3) 2018: 116-124 - 2017
- [j23]Lipeng Ning, Evren Özarslan, Carl-Fredrik Westin, Yogesh Rathi:
Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion. NeuroImage 146: 452-473 (2017) - [c52]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: 774-777 - [c51]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. Computer-Aided Diagnosis 2017: 101342F - [c50]Lipeng Ning, Yogesh Rathi:
Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks. MICCAI (1) 2017: 365-372 - [c49]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: 556-565 - 2016
- [j22]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): 1475-1486 (2016) - [j21]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: 386-400 (2016) - [j20]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: 311-323 (2016) - [j19]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: 696 (2016) - 2015
- [j18]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): 229-238 (2015) - [j17]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): 316-331 (2015) - [j16]Lipeng Ning, Carl-Fredrik Westin, Yogesh Rathi:
Estimating Diffusion Propagator and Its Moments Using Directional Radial Basis Functions. IEEE Trans. Medical Imaging 34(10): 2058-2078 (2015) - [c48]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: 57-68 - [c47]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: 12-19 - 2014
- [j15]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): 1143-1156 (2014) - [j14]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): 1349-1360 (2014) - [c46]Oleg V. Michailovich, Yogesh Rathi:
A generalized compressed sensing approach to high angular resolution diffusion imaging. ISBI 2014: 657-660 - [c45]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: 749-756 - [c44]Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Carl-Fredrik Westin:
A dual spherical model for multi-shell diffusion imaging. Image Processing 2014: 90340Q - [c43]Quan Zhou, Oleg V. Michailovich, Yogesh Rathi:
Resolving complex fibre architecture by means of sparse spherical deconvolution in the presence of isotropic diffusion. Image Processing 2014: 903425 - [p2]Ofer Pasternak, Klaus H. Maier-Hein, Christian F. Baumgartner, Martha Elizabeth Shenton, Yogesh Rathi, Carl-Fredrik Westin:
The Estimation of Free-Water Corrected Diffusion Tensors. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 249-270 - [p1]Yogesh Rathi, Martha Elizabeth Shenton, Carl-Fredrik Westin:
Preliminary Findings in Diagnostic Prediction of Schizophrenia Using Diffusion Tensor Imaging. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 313-324 - [i2]Quan Zhou, Oleg V. Michailovich, Yogesh Rathi:
Spatially regularized reconstruction of fibre orientation distributions in the presence of isotropic diffusion. CoRR abs/1401.6196 (2014) - 2013
- [c42]Yogesh Rathi, Borjan A. Gagoski, Kawin Setsompop, Patricia Ellen Grant, Carl-Fredrik Westin:
Comparing Simultaneous Multi-slice Diffusion Acquisitions. CDMRI/MMBC@MICCAI 2013: 3-11 - [c41]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: 50-57 - [c40]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: 57-66 - [c39]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: 510-517 - [c38]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: 647-654 - [c37]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. Image Processing 2013: 866907 - 2012
- [j13]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): 4383-4396 (2012) - [j12]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): 164-182 (2012) - [c36]Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Ragini Verma, Carl-Fredrik Westin:
Multi-scale Characterization of White Matter Tract Geometry. MICCAI (3) 2012: 34-41 - [c35]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: 17-23 - 2011
- [j11]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: 77 (2011) - [j10]Oleg V. Michailovich, Yogesh Rathi, Sudipto Dolui:
Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging. IEEE Trans. Medical Imaging 30(5): 1100-1115 (2011) - [c34]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: 320-332 - [c33]Yuanjing Feng, Peter Savadjiev, Yogesh Rathi, Meina Quan, Zhejin Wang, Carl-Fredrik Westin:
A swarm tracking approach for stochastic white matter tractography. ISBI 2011: 803-807 - [c32]Sudipto Dolui, Oleg V. Michailovich, Yogesh Rathi:
Compressed sensing of diffusion MRI data using spatial regularization and positivity constraints. ISBI 2011: 1597-1601 - [c31]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: 19-26 - [c30]Yogesh Rathi, Oleg V. Michailovich, Kawin Setsompop, Sylvain Bouix, Martha Elizabeth Shenton, Carl-Fredrik Westin:
Sparse Multi-Shell Diffusion Imaging. MICCAI (2) 2011: 58-65 - 2010
- [j9]James G. Malcolm, Oleg V. Michailovich, Sylvain Bouix, Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi:
A filtered approach to neural tractography using the Watson directional function. Medical Image Anal. 14(1): 58-69 (2010) - [j8]Oleg V. Michailovich, Yogesh Rathi:
On Approximation of Orientation Distributions by Means of Spherical Ridgelets. IEEE Trans. Image Process. 19(2): 461-477 (2010) - [j7]Namrata Vaswani, Yogesh Rathi, Anthony J. Yezzi, Allen R. Tannenbaum:
Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations. IEEE Trans. Image Process. 19(4): 841-857 (2010) - [j6]James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi:
Filtered Multitensor Tractography. IEEE Trans. Medical Imaging 29(9): 1664-1675 (2010) - [c29]Oleg V. Michailovich, Yogesh Rathi:
Spatially regularized q-ball imaging using spherical ridgelets. ISBI 2010: 1181-1184 - [c28]Yogesh Rathi, James G. Malcolm, Sylvain Bouix, Robert W. McCarley, Larry J. Seidman, Jill M. Goldstein, Carl-Fredrik Westin, Martha Elizabeth Shenton:
Disease classification: a probabilistic approach. ISBI 2010: 1345-1348 - [c27]Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland:
Joint Generative Model for fMRI/DWI and Its Application to Population Studies. MICCAI (1) 2010: 191-199 - [c26]Peter Savadjiev, Yogesh Rathi, James G. Malcolm, Martha Elizabeth Shenton, Carl-Fredrik Westin:
A Geometry-Based Particle Filtering Approach to White Matter Tractography. MICCAI (2) 2010: 233-240 - [c25]Oleg V. Michailovich, Yogesh Rathi:
Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing. MICCAI (1) 2010: 607-614 - [c24]Yogesh Rathi, James G. Malcolm, Oleg V. Michailovich, Jill M. Goldstein, Larry J. Seidman, Robert W. McCarley, Carl-Fredrik Westin, Martha Elizabeth Shenton:
Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging. MICCAI (1) 2010: 657-665 - [i1]Oleg V. Michailovich, Yogesh Rathi, Sudipto Dolui:
Spatially regularized compressed sensing of diffusion MRI data. CoRR abs/1009.1889 (2010)
2000 – 2009
- 2009
- [j5]Yogesh Rathi, Oleg V. Michailovich, Martha Elizabeth Shenton, Sylvain Bouix:
Directional functions for orientation distribution estimation. Medical Image Anal. 13(3): 432-444 (2009) - [c23]James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi:
Neural Tractography Using an Unscented Kalman Filter. IPMI 2009: 126-138 - [c22]James G. Malcolm, Martha Elizabeth Shenton, Yogesh Rathi:
Two-Tensor Tractography Using a Constrained Filter. MICCAI (1) 2009: 894-902 - 2008
- [j4]Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum:
A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1385-1399 (2008) - [c21]Yogesh Rathi, Oleg V. Michailovich, Sylvain Bouix, Martha Elizabeth Shenton:
Orientation distribution estimation for Q-ball imaging. CVPR Workshops 2008: 1-8 - [c20]Yogesh Rathi, Oleg V. Michailovich, Sylvain Bouix, Martha Elizabeth Shenton:
Directional functions for orientation distribution estimation. ISBI 2008: 927-930 - [c19]Oleg V. Michailovich, Yogesh Rathi:
On approximation of orientation distributions by means of spherical ridgelets. ISBI 2008: 939-942 - [c18]James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum:
Label Space: A Multi-object Shape Representation. IWCIA 2008: 185-196 - [c17]James G. Malcolm, Yogesh Rathi, Martha Elizabeth Shenton, Allen R. Tannenbaum:
Label Space: A Coupled Multi-shape Representation. MICCAI (2) 2008: 416-424 - [c16]James G. Malcolm, Yogesh Rathi, Anthony J. Yezzi, Allen R. Tannenbaum:
Fast approximate surface evolution in arbitrary dimension. Image Processing 2008: 69144C - [c15]Yogesh Rathi, Samuel Dambreville, Marc Niethammer, James G. Malcolm, James J. Levitt, Martha Elizabeth Shenton, Allen R. Tannenbaum:
Segmenting images analytically in shape space. Image Processing 2008: 691405 - [c14]James G. Malcolm, Yogesh Rathi, Anthony J. Yezzi, Allen R. Tannenbaum:
Fast approximate curve evolution. Real-Time Image Processing 2008: 68110L - 2007
- [j3]Yogesh Rathi, Namrata Vaswani, Allen R. Tannenbaum, Anthony J. Yezzi:
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1470-1475 (2007) - [j2]Yogesh Rathi, Namrata Vaswani, Allen R. Tannenbaum:
A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior. IEEE Trans. Image Process. 16(5): 1370-1382 (2007) - [j1]Oleg V. Michailovich, Yogesh Rathi, Allen R. Tannenbaum:
Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow. IEEE Trans. Image Process. 16(11): 2787-2801 (2007) - [c13]James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum:
Tracking Through Clutter Using Graph Cuts. BMVC 2007: 1-10 - [c12]James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum:
A Graph Cut Approach to Image Segmentation in Tensor Space. CVPR 2007 - [c11]Yogesh Rathi, Allen R. Tannenbaum, Oleg V. Michailovich:
Segmenting Images on the Tensor Manifold. CVPR 2007 - [c10]James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum:
Multi-Object Tracking Through Clutter Using Graph Cuts. ICCV 2007: 1-5 - [c9]James G. Malcolm, Yogesh Rathi, Allen R. Tannenbaum:
Graph Cut Segmentation with Nonlinear Shape Priors. ICIP (4) 2007: 365-368 - 2006
- [b1]Yogesh Rathi:
Filtering for Closed Curves. Georgia Institute of Technology, Atlanta, GA, USA, 2006 - [c8]Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum:
Tracking deformable objects with unscented Kalman filtering and geometric active contours. ACC 2006: 1-6 - [c7]Namrata Vaswani, Anthony J. Yezzi, Yogesh Rathi, Allen R. Tannenbaum:
Time-varying Finite Dimensional Basis for Tracking Contour Deformations. CDC 2006: 1665-1672 - [c6]Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum:
Shape-Based Approach to Robust Image Segmentation using Kernel PCA. CVPR (1) 2006: 977-984 - [c5]Yogesh Rathi, Samuel Dambreville, Allen R. Tannenbaum:
Comparative Analysis of Kernel Methods for Statistical Shape Learning. CVAMIA 2006: 96-107 - [c4]Namrata Vaswani, Anthony J. Yezzi, Yogesh Rathi, Allen R. Tannenbaum:
Particle Filters for Infinite (or Large) Dimensional State Spaces- Part 1. ICASSP (3) 2006: 29-32 - [c3]Samuel Dambreville, Yogesh Rathi, Allen R. Tannenbaum:
A Shape-Based Approach to Robust Image Segmentation. ICIAR (1) 2006: 173-183 - [c2]Yogesh Rathi, Samuel Dambreville, Allen R. Tannenbaum:
Particle Filtering with Dynamic Shape Priors. ICIAR (1) 2006: 886-897 - 2005
- [c1]Yogesh Rathi, Namrata Vaswani, Allen R. Tannenbaum, Anthony J. Yezzi:
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects. CVPR (2) 2005: 2-9
Coauthor Index
Lauren O'Donnell
aka: Lauren J. O'Donnell
aka: Lauren J. O'Donnell
[j41] [j40] [c72] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [i23] [j39] [j38] [c69] [c67] [c65] [c64] [c63] [c62] [i22] [i21] [i19] [i18] [i17] [j37] [j35] [c61] [c60] [c59] [c58] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [j34] [c57] [c56] [i6] [j33] [j32] [c55] [i4] [i3] [c54] [j28] [j27] [j26] [j25] [c52] [c49] [j22] [j17]
Martha Elizabeth Shenton
aka: Martha Shenton
aka: Martha Shenton
[j41] [j40] [c72] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [i23] [j39] [j38] [c69] [c67] [c65] [c64] [c63] [c62] [i22] [i21] [i19] [i18] [i17] [j37] [c61] [c60] [c59] [c58] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [j34] [c57] [c56] [i6] [j33] [j32] [c55] [i4] [i3] [c54] [j28] [j27] [j26] [j25] [c52] [c49] [j22]
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