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Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan.

D. Yang, Z. Xu, W. Li, A. Myronenko, H. Roth, S. Harmon, S. Xu, B. Turkbey, E. Turkbey, X. Wang, W. Zhu, G. Carrafiello, F. Patella, M. Cariati, H. Obinata, H. Mori, K. Tamura, P. An, B. Wood, and D. Xu. CoRR, (2020)

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Registration of Microscopic Iris Image Sequences Using Probabilistic Mesh.X. Song, A. Myronenko, S. Plank, and J. Rosenbaum. MICCAI (2), volume 4191 of Lecture Notes in Computer Science, page 553-560. Springer, (2006)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)NeurReg: Neural Registration and Its Application to Image Segmentation.W. Zhu, A. Myronenko, Z. Xu, W. Li, H. Roth, Y. Huang, F. Milletari, and D. Xu. WACV, page 3606-3615. IEEE, (2020)Adaptive Regularization of Ill-Posed Problems: Application to Non-rigid Image RegistrationA. Myronenko, and X. Song. CoRR, (2009)LV Motion Tracking from 3D Echocardiography Using Textural and Structural Information.A. Myronenko, X. Song, and D. Sahn. MICCAI (2), volume 4792 of Lecture Notes in Computer Science, page 428-435. Springer, (2007)Interpreting ultrasound elastography: image registration of breast cancer ultrasound elastography to histopathology images.B. Chuang, A. Myronenko, R. English, and J. Noble. ISBI, page 181-184. IEEE, (2010)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, and D. Yang. CoRR, (2021)On the closed-form solution of the rotation matrix arising in computer vision problemsA. Myronenko, and X. Song. CoRR, (2009)4D CNN for semantic segmentation of cardiac volumetric sequences.A. Myronenko, D. Yang, V. Buch, D. Xu, A. Ihsani, S. Doyle, M. Michalski, N. Tenenholtz, and H. Roth. CoRR, (2019)Boundary Aware Networks for Medical Image Segmentation.A. Hatamizadeh, D. Terzopoulos, and A. Myronenko. CoRR, (2019)

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Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan.

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Disambiguation of "Myronenko, Andriy"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan.

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Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan.