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Zhenghan Fang

Showing results (1-10 of 16) with videos related to

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BMC Public Health|July 30, 2025
Knowledge, attitudes, and practices of family members of children aged 2-6 years with snoring regarding pediatric snoring and its managementZhenghan Fang, Yanxia Zhao
... International Conference on Learning Representations|February 26, 2026
What's in a Prior? Learned Proximal Networks for Inverse ProblemsZhenghan Fang, Sam Buchanan, Jeremias Sulam
Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition|April 24, 2018
Quantification of relaxation times in MR Fingerprinting using deep learningZhenghan Fang, Yong Chen, Weili Lin, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 13, 2020
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance FingerprintingZhenghan Fang, Yong Chen, Dong Nie, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|April 2, 2019
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)Zhenghan Fang, Yong Chen, Mingxia Liu, et al.
Machine Learning in Clinical Neuroimaging : 6Th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. MLCN (Workshop) (6Th : 2023 : Vancouver, B.C.)|March 12, 2026
WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility ImagingZhenghan Fang, Hyeong-Geol Shin, Peter van Zijl, et al.
Biomedical Signal Processing and Control|August 15, 2022
Harmonized neonatal brain MR image segmentation model for cross-site datasetsJian Chen, Yue Sun, Zhenghan Fang, et al.
Medical Image Analysis|May 5, 2023
DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imagingZhenghan Fang, Kuo-Wei Lai, Peter van Zijl, et al.
Magnetic Resonance in Medicine|December 20, 2019
Submillimeter MR fingerprinting using deep learning-based tissue quantificationZhenghan Fang, Yong Chen, Sheng-Che Hung, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 1, 2021
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step frameworkJian Chen, Zhenghan Fang, Guofu Zhang, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
BMC Public Health|July 30, 2025
Knowledge, attitudes, and practices of family members of children aged 2-6 years with snoring regarding pediatric snoring and its managementZhenghan Fang, Yanxia Zhao
... International Conference on Learning Representations|February 26, 2026
What's in a Prior? Learned Proximal Networks for Inverse ProblemsZhenghan Fang, Sam Buchanan, Jeremias Sulam
Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition|April 24, 2018
Quantification of relaxation times in MR Fingerprinting using deep learningZhenghan Fang, Yong Chen, Weili Lin, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 13, 2020
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance FingerprintingZhenghan Fang, Yong Chen, Dong Nie, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|April 2, 2019
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)Zhenghan Fang, Yong Chen, Mingxia Liu, et al.
Machine Learning in Clinical Neuroimaging : 6Th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. MLCN (Workshop) (6Th : 2023 : Vancouver, B.C.)|March 12, 2026
WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility ImagingZhenghan Fang, Hyeong-Geol Shin, Peter van Zijl, et al.
Biomedical Signal Processing and Control|August 15, 2022
Harmonized neonatal brain MR image segmentation model for cross-site datasetsJian Chen, Yue Sun, Zhenghan Fang, et al.
Medical Image Analysis|May 5, 2023
DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imagingZhenghan Fang, Kuo-Wei Lai, Peter van Zijl, et al.
Magnetic Resonance in Medicine|December 20, 2019
Submillimeter MR fingerprinting using deep learning-based tissue quantificationZhenghan Fang, Yong Chen, Sheng-Che Hung, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 1, 2021
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step frameworkJian Chen, Zhenghan Fang, Guofu Zhang, et al.
Pageof 2