Jiewei Jiang

发表

Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural network

Jiewei Jiang, Xiyang Liu, Kai Zhang, 2017, BioMedical Engineering OnLine.

Prediction of postoperative complications of pediatric cataract patients using data mining

Jiewei Jiang, Xiyang Liu, Kai Zhang, 2019, Journal of Translational Medicine.

Preventing corneal blindness caused by keratitis using artificial intelligence

Jiewei Jiang, Q. Zheng, Wei Chen, 2021, Nature Communications.

Automatic classification of heterogeneous slit-illumination images using an ensemble of cost-sensitive convolutional neural networks.

Jiewei Jiang, Xiyang Liu, Erping Long, 2020, Annals of translational medicine.

A Two-stage Algorithm for Automatic Diagnosis of Keratitis

Jiewei Jiang, Mengjie Pei, Wei Liu, 2022, 2022 4th International Conference on Natural Language Processing (ICNLP).

Universal artificial intelligence platform for collaborative management of cataracts

Congxin Liu, Kai Zhang, Weiyi Lai, 2019, The Lancet.

Artificial intelligence to detect malignant eyelid tumors from photographic images

Jiewei Jiang, Zhenyu Li, Mengjie Pei, 2022, npj Digital Medicine.

An artificial intelligence platform for the multihospital collaborative management of congenital cataracts

Liming Wang, Xiaoyan Li, Weirong Chen, 2017, Nature Biomedical Engineering.

Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing

Chuan Chen, Xin Liu, Min Li, 2020, npj Digital Medicine.

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

Wei Chen, Qinxiang Zheng, Jiewei Jiang, 2020, Int. J. Medical Informatics.

Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter Datasets

Jiewei Jiang, Mingmin Zhu, Zhuoling Lin, 2021, Frontiers in Medicine.

Image Classification to Diagnose Chronic Atrophic Gastritis Based on Squeeze-and-Excitation Block

Jiamin Gong, Doudou Ma, Yaqiong Zhang, 2020, 2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA).

Localization and diagnosis framework for pediatric cataracts based on slit-lamp images using deep features of a convolutional neural network

Jiangtao Cui, Xiyang Liu, Kai Zhang, 2017, PloS one.

Comparative analysis of image classification methods for automatic diagnosis of ophthalmic images

Jia Zhang, Xiyang Liu, Jing Li, 2017, Scientific Reports.

Prediction of postoperative complications of pediatric cataract patients using data mining

Jiewei Jiang, Xiyang Liu, Kai Zhang, 2019, Journal of Translational Medicine.

Artificial intelligence in ophthalmology: The path to the real-world clinic

Jiewei Jiang, Zhongwen Li, Shanjun Wu, 2023, Cell reports. Medicine.

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

Jiewei Jiang, Qinxiang Zheng, Zhongwen Li, 2021, Comput. Methods Programs Biomed..

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

Jiewei Jiang, Mingmin Zhu, Mengjie Pei, 2023, Journal of Big Data.

Automatic diagnosis of multiple fundus lesions based on depth graph neural network

Jiewei Jiang, Zhongwen Li, Wei Liu, 2023, Optoelectronics Letters.

Comparison of deep learning systems and cornea specialists in detecting corneal diseases from low-quality images

Jiewei Jiang, Q. Zheng, Wei Chen, 2021, iScience.

Universal artificial intelligence platform for collaborative management of cataracts

Yizhi Liu, Jiewei Jiang, Kai Zhang, 2019, British Journal of Ophthalmology.

Predicting the progression of ophthalmic disease based on slit-lamp images using a deep temporal sequence network

Jiangtao Cui, Shuai Wang, Lin Liu, 2018, PloS one.

Automatic classification of heterogeneous slit-illumination 1 images using an ensemble of cost-sensitive convolutional 2 neural networks

Jiewei Jiang, Xiyang Liu, Erping Long, 2020 .