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Juan Wang

Sun Yat-sen University Cancer Center · CN
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Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Convolutional neural network and Barrier function, with related work in Neuroradiology, Occludin, Deep learning. Notable publications include 'Detecting Cardiovascular Disease from Mammograms With Deep Learning', 'A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid...', and 'Palmatine ameliorates intestinal epithelial barrier injury in ulcerative colitis via targeting enolase 3'.
h-index
citations
240
works
2
NIH funding
primary concept
email

Recent publications

Palmatine ameliorates intestinal epithelial barrier injury in ulcerative colitis via targeting enolase 3
International Immunopharmacology 2025cited by 2position: middledoi
A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients
European Radiology 2023cited by 18position: firstdoi
Detecting Cardiovascular Disease from Mammograms With Deep Learning
IEEE Transactions on Medical Imaging 2017cited by 238position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Shanshan Chen · China Agricultural University1 papers (2025–2025)Yong Zhang · Fudan University1 papers (2025–2025)Lirong Wang · Hexi University1 papers (2023–2023)Qi Zhou · Dalian Medical University1 papers (2023–2023)Meiqing He · Shanxi Medical University1 papers (2023–2023)Xiaoxia Hu · Guangzhou University of Chinese Medicine1 papers (2025–2025)Yaozhong Zhang · Universidad del Noreste1 papers (2023–2023)Youliang Xie · Guangzhou University of Chinese Medicine1 papers (2025–2025)Minghui Wu · Guangzhou University of Chinese Medicine1 papers (2025–2025)Jue Jiang · Memorial Sloan Kettering Cancer Center1 papers (2023–2023) · 1 papers (2017–2017) · 1 papers (2023–2023)Huanjun Ding · Boston Medical Center1 papers (2017–2017) · 1 papers (2017–2017)Caixia Dong · Zhejiang University1 papers (2023–2023) · 1 papers (2025–2025) · 1 papers (2017–2017)Songhua Xu · Oak Ridge National Laboratory1 papers (2023–2023) · 1 papers (2025–2025)Mihong Ren · Guangzhou University of Chinese Medicine1 papers (2025–2025)
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