Zhenghan Fang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Inverse Problems

Mid Sagittal Plane

Magnetic Resonance

Top Venues

IEEE Trans. Medical Imaging

Biomed. Signal Process. Control.

IEEE Trans. Artif. Intell.

Publications

Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang
Masked Conditional Diffusion Model for Enhancing Deepfake Detection. CoRR (2024)
Zhenghan Fang, Sam Buchanan, Jeremias Sulam
What's in a Prior? Learned Proximal Networks for Inverse Problems. ICLR (2024)
Jian Chen, Shilin Ye, Zhuwu Jiang, Zhenghan Fang
Image Deblurring Using Feedback Mechanism and Dual Gated Attention Network. Neural Process. Lett. 56 (2) (2024)
Zhenghan Fang, Junjie Bai, Xinyu Guo, Xin Wang, Feng Gao, Hao-Yu Yang, Bin Kong, Ying Hou, Kunlin Cao, Qi Song, Jun Xia, Youbing Yin
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning. IEEE Trans. Artif. Intell. 4 (2) (2023)
Zhenghan Fang, Sam Buchanan, Jeremias Sulam
What's in a Prior? Learned Proximal Networks for Inverse Problems. CoRR (2023)
Zhenghan Fang, Hyeong-Geol Shin, Peter C. M. van Zijl, Xu Li, Jeremias Sulam
WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility Imaging. MLCN@MICCAI (2023)
Jian Chen, Jiaze Wan, Zhenghan Fang, Lifang Wei
LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation. Int. J. Imaging Syst. Technol. 33 (5) (2023)
Zhenghan Fang, Kuo-Wei Lai, Peter C. M. van Zijl, Xu Li, Jeremias Sulam
DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging. Medical Image Anal. 87 (2023)
Zhenghan Fang, Kuo-Wei Lai, Peter C. M. van Zijl, Xu Li, Jeremias Sulam
DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging. CoRR (2022)
Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen
Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals. MICCAI (6) (2022)
Jian Chen, Yue Sun, Zhenghan Fang, Weili Lin, Gang Li, Li Wang
Harmonized neonatal brain MR image segmentation model for cross-site datasets. Biomed. Signal Process. Control. 69 (2021)
Jian Chen, Zhenghan Fang, Guofu Zhang, Lei Ling, Gang Li, He Zhang, Li Wang
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework. Comput. Medical Imaging Graph. 88 (2021)
Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". IEEE Trans. Medical Imaging 39 (2) (2020)
Yong Chen, Zhenghan Fang, Sheng-Che Hung, Weitang Chang, Dinggang Shen, Weili Lin
High-resolution 3D MR Fingerprinting using parallel imaging and deep learning. NeuroImage 206 (2020)
Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging 38 (10) (2019)
Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen, Li Wang
CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. GLMI@MICCAI (2019)
Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting. MICCAI (3) (2019)
Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). MLMI@MICCAI (2018)