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Xiaoshuang Shi

University of Florida · US
Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Convolutional neural network, Computer science, Jaccard index, Osteoarthritis, Grading (engineering), and Adversarial system.
h-index
citations
326
works
2
NIH funding
primary concept
email

Recent publications

Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis
Medical Image Analysis 2023cited by 54position: middledoi
Robust convolutional neural networks against adversarial attacks on medical images
Pattern Recognition 2022cited by 45position: firstdoi
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss
Computerized Medical Imaging and Graphics 2019cited by 281position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Qingguo Yan · Ministry of Education of the People's Republic of China1 papers (2023–2023)Zhiyong Lu · State Administration of Cultural Heritage1 papers (2022–2022)Yifan Peng · Boston University1 papers (2022–2022)Kyle D. Allen · National Institute of Arthritis and Musculoskeletal and Skin Diseases1 papers (2019–2019)Emily Y. Chew · National Institutes of Health1 papers (2022–2022)Sungwon Lee · Seoul National University1 papers (2022–2022) · 1 papers (2023–2023)Lin Yang · University of Colorado Denver1 papers (2019–2019)Junyi Shen · University of Maryland, College Park1 papers (2023–2023)Alisa T. Thavikulwat · University of Illinois Chicago1 papers (2022–2022)Ronald M. Summers · National Institutes of Health Clinical Center1 papers (2022–2022) · 1 papers (2023–2023)Tiarnán D L Keenan · National Institutes of Health1 papers (2022–2022)Xiaofeng Zhu · Georgetown University1 papers (2023–2023)Yuxing Tang · University of Electronic Science and Technology of China1 papers (2022–2022)Qingyu Chen · Yale University1 papers (2022–2022)Pingjun Chen · University of Florida1 papers (2019–2019)Linlin Gao · Fudan University1 papers (2019–2019)