Liming Wang

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.

Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning

Lei Zhang, Q. Gao, Ya Cao, 2020, Gut.

Prediction of postoperative complications of pediatric cataract patients using data mining

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

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.

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

Hongwei Li, Xiyang Liu, Liming Wang, 2021, Nature Communications.

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.

Gene Biomarker Prediction in Glioma by Integrating scRNA-seq Data and the Gene Regulatory Network

Guimin Qin, Liming Wang, Yuzhi Yin, 2020 .

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

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

A practical model for the identification of congenital cataracts using machine learning

Xiaohang Wu, Kai Zhang, Weirong Chen, 2020, EBioMedicine.

Multiobjective Reliable Cloud Storage with Its Particle Swarm Optimization Algorithm

Liming Wang, Xiyang Liu, Lei Fan, 2016 .

Prediction of postoperative complications of pediatric cataract patients using data mining

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

Prediction of Postoperative Complication of Pediatric Cataracts Patients using Data Mining Methods (Preprint)

Xiyang Liu, Kai Zhang, Erping Long, 2018 .

Prototypes-oriented Transductive Few-shot Learning with Conditional Transport

Xiyang Liu, Liming Wang, Long Tian, 2023, ArXiv.

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 .

Use of NTRIP for Optimizing the Decoding Algorithm for Real-Time Data Streams

Liming Wang, Wenda Tang, Xuhai Yang, 2014, Sensors.