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Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

K. Schilling, F. Rheault, L. Petit, C. Hansen, V. Nath, F. Yeh, G. Girard, M. Barakovic, J. Rafael-Patino, T. Yu, E. Gomez, M. Pizzolato, M. Ocampo-Pineda, S. Schiavi, E. Canales-Rodríguez, A. Daducci, C. Granziera, G. Innocenti, J. Thiran, L. Mancini, S. Wastling, S. Cocozza, M. Petracca, G. Pontillo, M. Mancini, S. Vos, V. Vakharia, J. Duncan, H. Melero, L. Manzanedo, E. Sanz-Morales, Á. Peña-Melián, F. Calamante, A. Attye, R. Cabeen, L. Korobova, A. Toga, A. Vijayakumari, D. Parker, R. Verma, A. Radwan, S. Sunaert, L. Emsell, A. Luca, A. Leemans, C. Bajada, H. Haroon, H. Azadbakht, M. Chamberland, S. Genc, C. Tax, P. Yeh, R. Srikanchana, C. Mcknight, J. Yang, J. Chen, C. Kelly, C. Yeh, J. Cochereau, J. Maller, T. Welton, F. Almairac, K. Seunarine, C. Clark, F. Zhang, N. Makris, A. Golby, Y. Rathi, L. O'Donnell, Y. Xia, D. Aydogan, Y. Shi, F. Fernandes, M. Raemaekers, S. Warrington, S. Michielse, A. Ramirez-Manzanares, L. Concha, R. Aranda, M. Meraz, G. Lerma-Usabiaga, L. Roitman, L. Fekonja, N. Calarco, M. Joseph, H. Nakua, A. Voineskos, P. Karan, G. Grenier, J. Legarreta, N. Adluru, V. Nair, V. Prabhakaran, A. Alexander, K. Kamagata, Y. Saito, W. Uchida, C. Andica, M. Abe, R. Bayrak, C. Wheeler-Kingshott, E. D'Angelo, F. Palesi, G. Savini, N. Rolandi, P. Guevara, J. Houenou, N. López-López, J. Mangin, C. Poupon, C. Román, A. Vázquez, C. Maffei, M. Arantes, J. Andrade, S. Silva, V. Calhoun, E. Caverzasi, S. Sacco, M. Lauricella, F. Pestilli, D. Bullock, Y. Zhan, E. Brignoni-Pérez, C. Lebel, J. Reynolds, I. Nestrasil, R. Labounek, C. Lenglet, A. Paulson, S. Aulicka, S. Heilbronner, K. Heuer, B. Chandio, J. Guaje, W. Tang, E. Garyfallidis, R. Raja, A. Anderson, B. Landman, и M. Descoteaux. NeuroImage, (2021)

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Richa Nath

Jens Näth

Miriam Nath

Martina Nath

Miriam Nath

Другие публикации лиц с тем же именем

Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI.V. Nath, K. Schilling, J. Blaber, Z. Ding, A. Anderson, и B. Landman. Medical Imaging: Image Processing, том 10133 из SPIE Proceedings, стр. 101330L. SPIE, (2017)MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images.A. Diaz-Pinto, S. Alle, A. Ihsani, M. Asad, V. Nath, F. Pérez-García, P. Mehta, W. Li, H. Roth, T. Vercauteren и 5 other автор(ы). CoRR, (2022)Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation.V. Nath, D. Yang, B. Landman, D. Xu, и H. Roth. CoRR, (2021)DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.A. Diaz-Pinto, P. Mehta, S. Alle, M. Asad, R. Brown, V. Nath, A. Ihsani, M. Antonelli, D. Palkovics, C. Pinter и 10 other автор(ы). CoRR, (2023)Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis.Y. Tang, D. Yang, W. Li, H. Roth, B. Landman, D. Xu, V. Nath, и A. Hatamizadeh. CoRR, (2021)HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet.C. Peng, A. Myronenko, A. Hatamizadeh, V. Nath, M. Siddiquee, Y. He, D. Xu, R. Chellappa, и D. Yang. CoRR, (2021)A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.T. Yao, N. Newlin, P. Kanakaraj, V. Nath, L. Cai, K. Ramadass, K. Schilling, B. Landman, и Y. Huo. CoRR, (2023)A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI.T. Yao, N. Newlin, P. Kanakaraj, V. Nath, L. Cai, K. Ramadass, K. Schilling, B. Landman, и Y. Huo. CDMRI@MICCAI, том 14328 из Lecture Notes in Computer Science, стр. 13-22. Springer, (2023)Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.V. Nath, I. Lyu, K. Schilling, P. Parvathaneni, C. Hansen, Y. Huo, V. Janve, Y. Gao, I. Stepniewska, A. Anderson и 1 other автор(ы). MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 573-581. Springer, (2019)The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation.V. Nath, D. Yang, A. Hatamizadeh, A. Abidin, A. Myronenko, H. Roth, и D. Xu. MICCAI (3), том 12903 из Lecture Notes in Computer Science, стр. 456-465. Springer, (2021)

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