Jiewei Jiang

According to our database, Jiewei Jiang authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network.

Jiewei Jiang, Wei Liu, Mengjie Pei, Liufei Guo, Jingshi Yang, Chengchao Wu, Jiaojiao Lu, Ruijie Gao, Wei Chen, Jiamin Gong, Mingmin Zhu, Zhongwen Li

J. Big Data, December, 2023

2022

Artificial intelligence to detect malignant eyelid tumors from photographic images.

Zhongwen Li, Wei Qiang, Hongyun Chen, Mengjie Pei, Xiaomei Yu, Layi Wang, Zhen Li, Weiwei Xie, Xuefang Wu, Jiewei Jiang, Guohai Wu

npj Digit. Medicine, 2022

Deep learning for depression recognition with audiovisual cues: A review.

Lang He, Mingyue Niu, Prayag Tiwari, Pekka Marttinen, Rui Su, Jiewei Jiang, Chenguang Guo, Hongyu Wang, Songtao Ding, Zhongmin Wang, Xiaoying Pan, Wei Dang

Inf. Fusion, 2022

2021

Development of a deep learning-based image eligibility verification system for detecting and filtering out ineligible fundus images: A multicentre study.

Zhongwen Li, Jiewei Jiang, Heding Zhou, Qinxiang Zheng, Xiaotian Liu, Kuan Chen, Hongfei Weng, Wei Chen

Int. J. Medical Informatics, 2021

Development of a deep learning-based image quality control system to detect and filter out ineligible slit-lamp images: A multicenter study.

Zhongwen Li, Jiewei Jiang, Kuan Chen, Qinxiang Zheng, Xiaotian Liu, Hongfei Weng, Shanjun Wu, Wei Chen

Comput. Methods Programs Biomed., 2021

Automatic diagnosis of multiple lesions in fundus images based on dual attention mechanism.

Jiamin Gong, Liufei Guo, Jiewei Jiang, Chengchao Wu, Mengjie Pei, Wei Liu

Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

2020

Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing.

Erping Long, Jingjing Chen, Xiaohang Wu, Zhenzhen Liu, Liming Wang, Jiewei Jiang, Wangting Li, Yi Zhu, Chuan Chen, Zhuoling Lin, Jing Li, Xiaoyan Li, Hui Chen, Chong Guo, Lanqin Zhao, Daoyao Nie, Xinhua Liu, Xin Liu, Zhe Dong, Bo Yun, Wenbin Wei, Fan Xu, Jian Lv, Min Li, Shiqi Ling, Lei Zhong, Junhong Chen, Qishan Zheng, Li Zhang, Yi Xiang, Gang Tan, Kai Huang, Yifan Xiang, Duoru Lin, Xulin Zhang, Meimei Dongye, Dongni Wang, Weirong Chen, Xiyang Liu, Haotian Lin, Yizhi Liu

npj Digit. Medicine, 2020

2017

A novel divergence for sensitivity analysis in Gaussian Bayesian networks.

Mingmin Zhu, Sanyang Liu, Jiewei Jiang

Int. J. Approx. Reason., 2017

2016

Learning Bayesian Networks in the Space of Structures by a Hybrid Optimization Algorithm.

Mingmin Zhu, Sanyang Liu, Jiewei Jiang

Int. J. Comput. Commun. Control, 2016

A hybrid method for learning multi-dimensional Bayesian network classifiers based on an optimization model.

Mingmin Zhu, Sanyang Liu, Jiewei Jiang

Appl. Intell., 2016