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iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.

J. Wang, C. Liu, J. Li, C. Yuan, L. Zhang, C. Jin, J. Xu, Y. Wang, Y. Wen, H. Lu, B. Li, C. Chen, X. Li, D. Shen, D. Qian, and J. Wang. npj Digit. Medicine, (2021)

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Lichi Zhang

Norbert Lichius

Matthias Lichius

Heinrich Lichius

Wolfgang Lichius

Other publications of authors with the same name

Automatic brain labeling via multi-atlas guided fully convolutional networks.L. Fang, L. Zhang, D. Nie, X. Cao, I. Rekik, S. Lee, H. He, and D. Shen. Medical Image Anal., (2019)Multimodal MRI Reconstruction Assisted With Spatial Alignment Network.K. Xuan, L. Xiang, X. Huang, L. Zhang, S. Liao, D. Shen, and Q. Wang. IEEE Trans. Medical Imaging, 41 (9): 2499-2509 (2022)iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.J. Wang, C. Liu, J. Li, C. Yuan, L. Zhang, C. Jin, J. Xu, Y. Wang, Y. Wen, H. Lu and 6 other author(s). npj Digit. Medicine, (2021)Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.J. Huo, X. Ouyang, L. Si, K. Xuan, S. Wang, W. Yao, Y. Liu, J. Xu, D. Qian, Z. Xue and 3 other author(s). Medical Image Anal., (2022)Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage.D. Zang, X. Zhao, Y. Qiao, J. Huo, X. Wu, Z. Wang, Z. Xu, R. Zheng, Z. Qi, Y. Mao and 1 other author(s). Brain Informatics, 10 (1): 3 (December 2023)sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation.X. Zhao, D. Zang, S. Wang, Z. Shen, K. Xuan, Z. Wei, Z. Wang, R. Zheng, X. Wu, Z. Li and 3 other author(s). Comput. Medical Imaging Graph., (2024)CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees.Z. Zhuang, X. Wang, S. Wang, Z. Shen, X. Zhao, M. Liu, Z. Xue, D. Shen, L. Zhang, and Q. Wang. MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 110-119. Springer, (2023)Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning.T. Li, K. Xuan, Z. Xue, L. Chen, L. Zhang, and D. Qian. DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 96-105. Springer, (2020)Position-aware and structure embedding networks for deep graph matching.D. Chen, Y. Dai, L. Zhang, Z. Zhang, and E. Hancock. Pattern Recognit., (April 2023)Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention.X. Ren, J. Huo, K. Xuan, D. Wei, L. Zhang, and Q. Wang. ISBI, page 385-389. IEEE, (2020)

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Disambiguation of "Zhang, Lichi"

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iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.

Please choose a person to relate this publication to

Lichi Zhang

Norbert Lichius

Matthias Lichius

Heinrich Lichius

Wolfgang Lichius

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Lichi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.

Please choose a person to relate this publication to

Lichi Zhang

Norbert Lichius

Matthias Lichius

Heinrich Lichius

Wolfgang Lichius

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.