M
Miaofei Han
Publications - 8
Citations - 756
Miaofei Han is an academic researcher. The author has contributed to research in topics: Image segmentation & Segmentation. The author has an hindex of 5, co-authored 8 publications receiving 487 citations.
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Journal ArticleDOI
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
Fei Shan,Yaozong Gao,Jun Wang,Weiya Shi,Nannan Shi,Miaofei Han,Zhong Xue,Dinggang Shen,Yuxin Shi +8 more
TL;DR: A deep learning (DL) based segmentation system is developed to automatically quantify infection regions of interest (ROIs) and their volumetric ratios w.r.t. the lung and possible applications, including but not limited to analysis of follow-up CT scans and infection distributions in the lobes and segments correlated with clinical findings were discussed.
Journal ArticleDOI
Abnormal Lung Quantification in Chest CT Images of COVID-19 Patients with Deep Learning and its Application to Severity Prediction.
Fei Shan,Yaozong Gao,Jun Wang,Weiya Shi,Nannan Shi,Miaofei Han,Zhong Xue,Dinggang Shen,Dinggang Shen,Yuxin Shi +9 more
TL;DR: A DL‐based segmentation system has been developed to automatically segment and quantify infection regions in CT scans of COVID‐19 patients andQuantitative evaluation indicated high accuracy in automatic infection delineation and severity prediction.
Journal ArticleDOI
Hypergraph learning for identification of COVID-19 with CT imaging.
Donglin Di,Feng Shi,Fuhua Yan,Liming Xia,Zhanhao Mo,Zhongxiang Ding,Fei Shan,Bin Song,Shengrui Li,Ying Wei,Ying Shao,Miaofei Han,Yaozong Gao,He Sui,Yue Gao,Dinggang Shen,Dinggang Shen +16 more
TL;DR: An Uncertainty Vertex-weighted Hypergraph Learning (UVHL) method to identify COVID-19 from CAP using CT images is proposed, which demonstrates the effectiveness and robustness of the proposed method on the identification of CO VID-19 in comparison to state-of-the-art methods.
Proceedings ArticleDOI
Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease
TL;DR: A multi-resolution 3D convolutional neural network to automatically segment kidneys of ADPKD patients from MR images to dramatically reduce the measurement of kidney volume from 40 minutes to about 1 second, which can greatly accelerate the disease staging of AD PKD patients for large clinical trials, promote the development of related drugs, and reduce the burden of physicians.
Proceedings ArticleDOI
Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy
TL;DR: The customized V-Net evaluated is very robust against various image artifacts, diseases and slice thicknesses, and has much better performance even on the organs with large shape variations than traditional methods.