Tao Wan

Beihang University

H-index: 23

Asia-China

About Tao Wan

Tao Wan, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at Beihang University, specializes in the field of Computer-aided Diagnosis/Prognosis System, Medical Image Analysis, Digital Histopathology, AI, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Topic Modeling of Political Dynamics with Shifted Cosine Similarity

A preoperative MRI-based radiomics-clinicopathological classifier to predict the recurrence of pituitary macroadenoma within 5 years

A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images

Radiomic features on multiparametric MRI for preoperative evaluation of pituitary macroadenomas consistency: preliminary findings

Automatic vessel segmentation in X-ray angiogram using spatio-temporal fully-convolutional neural network

Random Neural Graph Generation with Structure Evolution

Prior visual relationship reasoning for visual question answering

A lightweight network model for video frame interpolation using spatial Pyramids

Tao Wan Information

University	Beihang University
Position	/Case Western Reserve University /Boston University School of Medicine
Citations(all)	2293
Citations(since 2020)	1349
Cited By	1488
hIndex(all)	23
hIndex(since 2020)	19
i10Index(all)	42
i10Index(since 2020)	29
Email	Access Email
University Profile Page	Beihang University
Google Scholar	View Google Scholar Profile

Tao Wan Skills & Research Interests

Computer-aided Diagnosis/Prognosis System

Medical Image Analysis

Digital Histopathology

Machine Learning

Top articles of Tao Wan

Title	Journal	Author(s)	Publication Date
Topic Modeling of Political Dynamics with Shifted Cosine Similarity		Yifan Luo Tao Wan Zengchang Qin	2022/3/4
A preoperative MRI-based radiomics-clinicopathological classifier to predict the recurrence of pituitary macroadenoma within 5 years	Frontiers in neurology	Yu Zhang Yuqi Luo Xin Kong Tao Wan Yunling Long ...	2022/1/5
A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images	Knowledge-Based Systems	Junyu Ji Tao Wan Dong Chen Hao Wang Menghan Zheng ...	2022/11/28
Radiomic features on multiparametric MRI for preoperative evaluation of pituitary macroadenomas consistency: preliminary findings	Journal of Magnetic Resonance Imaging	Tao Wan Chunxue Wu Ming Meng Tao Liu Chuzhong Li ...	2022/5
Automatic vessel segmentation in X-ray angiogram using spatio-temporal fully-convolutional neural network	Biomedical Signal Processing and Control	Tao Wan Jianhui Chen Zhonghua Zhang Deyu Li Zengchang Qin	2021/7/1
Random Neural Graph Generation with Structure Evolution		Yuguang Zhou Zheng He Tao Wan Zengchang Qin	2021
Prior visual relationship reasoning for visual question answering		Zhuoqian Yang Zengchang Qin Jing Yu Tao Wan	2020/10/25
A lightweight network model for video frame interpolation using spatial Pyramids		Jiankai Zhuang Zengchang Qin Jialu Chen Tao Wan	2020/10/25
Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement	Neurocomputing	Tao Wan Lei Zhao Hongxiang Feng Deyu Li Chao Tong ...	2020/9/30
Pulmonary nodule detection based on isodata-improved faster rcnn and 3d-cnn with focal loss	ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)	Chao Tong Baoyu Liang Mengze Zhang Rongshan Chen Arun Kumar Sangaiah ...	2020/4/13
Many-to-One Stable Matching for Prediction in Social Networks		Ke Dong Zengchang Qin Tao Wan	2020
A deep learning model for early prediction of sepsis from intensive care unit records		Rui Zhao Tao Wan Deyu Li Zhengbo Zhang Zengchang Qin	2020/11/17