Zhenghan Fang - Concepedia

Author

Zhenghan Fang

University of North Carolina at Chapel Hill ORCID

Also Known As

Fang, Zhenghan, Li, Gang, Liu, Mingxia, Z. Fang, Z. Zhao & J. Fang, Zebin Fang, Zhang, Xiaoxia, Zhangyun Fang, Zhaozhao Fang, Zhen Fang

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

University of North Carolina at Chapel Hill Shenzhen Second People's Hospital Imaging Center Korea University

About

Zhenghan Fang is an author at University of North Carolina at Chapel Hill specializing in medical image computing, medical imaging, and health sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	181
2	Health Sciences	4	4	181
3	Biomedical Engineering	2	2	129
4	Biostatistics	2	2	129
5	Data Science	1	1	14

Zhenghan Fang

Publications

2.3K

Citations

H-Index

Page 1

	Year	Citations
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy Lin Li, Lixin Qin, Zeguo Xu, Radiology	2020	2K
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting Zhenghan Fang, Yong Chen, Mingxia Liu, IEEE Transactions on Medical Imaging Convolutional Neural NetworkEngineeringMachine LearningMrf AcquisitionAutoencoders	2019	118
High-resolution 3D MR Fingerprinting using parallel imaging and deep learning Yong Chen, Zhenghan Fang, Sheng‐Che Hung, NeuroImage	2019	76
High-resolution image reconstruction for portable ultrasound imaging devices Ruoyao Wang, Zhenghan Fang, Jiaqi Gu, EURASIP Journal on Advances in Signal Processing	2019	39
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting Zhenghan Fang, Yong Chen, Dong Nie, Lecture notes in computer science Magnetic Resonance FingerprintingEngineeringNeuroimaging ModalityMedical ImagingBiomedical Imaging	2019	38
Submillimeter MR fingerprinting using deep learning–based tissue quantification Zhenghan Fang, Yong Chen, Sheng‐Che Hung, Magnetic Resonance in Medicine	2019	38
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning Zhenghan Fang, Junjie Bai, Xinyu Guo, IEEE Transactions on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningDiagnostic ImagingImage Analysis	2022	14
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework Jian Chen, Zhenghan Fang, Guofu Zhang, Computerized Medical Imaging and Graphics	2020	13
Quantification of relaxation times in MR Fingerprinting using deep learning. Zhenghan Fang, Yong Chen, Weili Lin, PubMed Convolutional Neural NetworkEngineeringBiometricsAdvanced ImagingMr Fingerprinting	2017	11

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