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Fetal Brain Tissue Annotation and Segmentation Challenge Results.

K. Payette, H. Li, P. de Dumast, R. Licandro, H. Ji, M. Siddiquee, D. Xu, A. Myronenko, H. Liu, Y. Pei, L. Wang, Y. Peng, J. Xie, H. Zhang, G. Dong, H. Fu, G. Wang, Z. Rieu, D. Kim, H. Kim, D. Karimi, A. Gholipour, H. Torres, B. Oliveira, J. Vilaça, Y. Lin, N. Avisdris, O. Ben-Zvi, D. Ben-Bashat, L. Fidon, M. Aertsen, T. Vercauteren, D. Sobotka, G. Langs, M. Alenyà, M. Villanueva, O. Camara, B. Specktor-Fadida, L. Joskowicz, W. Liao, L. Yi, X. Li, M. Mazher, A. Qayyum, D. Puig, H. Kebiri, Z. Zhang, X. Xu, D. Wu, K. Liao, Y. Wu, J. Chen, Y. Xu, L. Zhao, L. Vasung, B. Menze, M. Cuadra, and A. Jakab. CoRR, (2022)

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Daguang Han

Daguang Cai

Xu Xu

Xianxiang Xu

Imaging findings of cerebral schistosomiasis in ChinaX. Xu. Uni Hamburg, (2010)

Other publications of authors with the same name

NVIDIA FLARE: Federated Learning from Simulation to Real-World.H. Roth, Y. Cheng, Y. Wen, I. Yang, Z. Xu, Y. Hsieh, K. Kersten, A. Harouni, C. Zhao, K. Lu and 13 other author(s). IEEE Data Eng. Bull., 46 (1): 170-184 (2023)Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning.V. Gupta, H. Roth, V. Buch, M. Rockenbach, R. White, D. Yang, O. Laur, B. Ghoshhajra, I. Dayan, D. Xu and 2 other author(s). CoRR, (2020)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 and 10 other author(s). CoRR, (2023)Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation.V. Nath, D. Yang, B. Landman, D. Xu, and H. Roth. CoRR, (2021)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 and 5 other author(s). CoRR, (2022)Learning Image Labels On-the-fly for Training Robust Classification Models.X. Wang, Z. Xu, D. Yang, L. Tam, H. Roth, and D. Xu. CoRR, (2020)Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network.Z. Xu, X. Wang, H. Shin, D. Yang, H. Roth, F. Milletari, L. Zhang, and D. Xu. CoRR, (2019)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)3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.Y. Xia, F. Liu, D. Yang, J. Cai, L. Yu, Z. Zhu, D. Xu, A. Yuille, and H. Roth. CoRR, (2018)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, and A. Hatamizadeh. CoRR, (2021)

BibSonomy

Disambiguation of "Xu, Daguang"

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Fetal Brain Tissue Annotation and Segmentation Challenge Results.

Please choose a person to relate this publication to

Daguang Han

Daguang Cai

Xu Xu

Xu Xu

Xianxiang Xu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xu, Daguang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Fetal Brain Tissue Annotation and Segmentation Challenge Results.

Please choose a person to relate this publication to

Daguang Han

Daguang Cai

Xu Xu

Xu Xu

Xianxiang Xu

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Fetal Brain Tissue Annotation and Segmentation Challenge Results.