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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.

R. Mehta, A. Filos, U. Baid, C. Sako, R. McKinley, M. Rebsamen, K. Dätwyler, R. Meier, P. Radojewski, G. Murugesan, S. Nalawade, C. Ganesh, B. Wagner, F. Yu, B. Fei, A. Madhuranthakam, J. Maldjian, L. Daza, C. Gómez, P. Arbeláez, C. Dai, S. Wang, H. Raynaud, Y. Mo, E. Angelini, Y. Guo, W. Bai, S. Banerjee, L. Pei, M. AK, S. Rosas-González, I. Zemmoura, C. Tauber, M. Vu, T. Nyholm, T. Löfstedt, L. Ballestar, V. Vilaplana, H. McHugh, G. Talou, A. Wang, J. Patel, K. Chang, K. Hoebel, M. Gidwani, N. Arun, S. Gupta, M. Aggarwal, P. Singh, E. Gerstner, J. Kalpathy-Cramer, N. Boutry, A. Huard, L. Vidyaratne, M. Rahman, K. Iftekharuddin, J. Chazalon, É. Puybareau, G. Tochon, J. Ma, M. Cabezas, X. Lladó, A. Oliver, L. Valencia, S. Valverde, M. Amian, M. Soltaninejad, A. Myronenko, A. Hatamizadeh, X. Feng, Q. Dou, N. Tustison, C. Meyer, N. Shah, S. Talbar, M. Weber, A. Mahajan, A. Jakab, R. Wiest, H. Fathallah-Shaykh, A. Nazeri, M. Milchenko, D. Marcus, A. Kotrotsou, R. Colen, J. Freymann, J. Kirby, C. Davatzikos, B. Menze, S. Bakas, Y. Gal, and T. Arbel. CoRR, (2021)

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Raghav Pathak University of Stuttgart

Other publications of authors with the same name

To Learn or Not to Learn Features for Deformable Registration?A. Majumdar, R. Mehta, and J. Sivaswamy. CoRR, (2017)Improving Pathological Structure Segmentation via Transfer Learning Across Diseases.B. Kaur, P. Lemaître, R. Mehta, N. Sepahvand, D. Precup, D. Arnold, and T. Arbel. DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 90-98. Springer, (2019)3D U-Net for Brain Tumour Segmentation.R. Mehta, and T. Arbel. BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 254-266. Springer, (2018)To Learn or Not to Learn Features for Deformable Registration?A. Majumdar, R. Mehta, and J. Sivaswamy. MLCN/DLF/iMIMIC@MICCAI, volume 11038 of Lecture Notes in Computer Science, page 52-60. Springer, (2018)Hybrid Cell Assignment and Sizing for Power, Area, Delay-Product Optimization of SRAM Arrays.G. Pasandi, R. Mehta, M. Pedram, and S. Nazarian. IEEE Trans. on Circuits and Systems, 66-II (12): 2047-2051 (2019)A hybrid approach to tissue-based intensity standardization of brain MRI images.R. Mehta, and J. Sivaswamy. ISBI, page 95-98. IEEE, (2016)RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours.R. Mehta, and T. Arbel. SASHIMI@MICCAI, volume 11037 of Lecture Notes in Computer Science, page 119-129. Springer, (2018)High performance training of deep neural networks using pipelined hardware acceleration and distributed memory.R. Mehta, Y. Huang, M. Cheng, S. Bagga, N. Mathur, J. Li, J. Draper, and S. Nazarian. ISQED, page 383-388. IEEE, (2018)Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.R. Mehta, T. Christinck, T. Nair, A. Bussy, S. Premasiri, M. Costantino, M. Chakravarthy, D. Arnold, Y. Gal, and T. Arbel. IEEE Trans. Medical Imaging, 41 (2): 360-373 (2022)QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.R. Mehta, A. Filos, U. Baid, C. Sako, R. McKinley, M. Rebsamen, K. Dätwyler, R. Meier, P. Radojewski, G. Murugesan and 82 other author(s). CoRR, (2021)

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Raghav Pathak University of Stuttgart

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Disambiguation of "Mehta, Raghav"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.

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Raghav Pathak University of Stuttgart

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Disambiguation