Computerized Diagnosis of Fundus Vascular Structure Based on Predictions of Diabetic Retinopathy Grade and Risk of Macular Edema. - Zhi Liu; Zhaomin Yao; Yankun Cao; Jianhuang Wu (J. Medical Imaging Health Informatics, 2019)

MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI. - Jialiang Li 004; Zhaomin Yao; Meiyu Duan; Shuai Liu 010; Fei Li 039; Haiyang Zhu; Zhiqiang Xia; Lan Huang 002; Fengfeng Zhou (IEEE Access, 2020)

The Reverse Recovery Characteristics of an Improved 3.3-kV CIBH Diode with Local Heavily Doped N++ Regions at the Cathode. - Kai Zhao; Yu Wu 015; Yueyang Liu; Xintian Zhou; Zhaomin Yao; Yingying Lei (EITCE, 2021)

FC-Ensemble: An Ensemble Data Enhancement Method to Increase the Performance of Analysis the Staging of Alzheimer's Disease Based on Brain MRI. - Zhaomin Yao; Wenxin Mao; Zhiguo Wang 001; Guoxu Zhang (ISAIMS, 2023)

Fuzzy-VGG: A fast deep learning method for predicting the staging of Alzheimer's disease based on brain MRI. - Zhaomin Yao; Wenxin Mao; Yizhe Yuan; Zhenning Shi; Gancheng Zhu; Wenwen Zhang; Zhiguo Wang 001; Guoxu Zhang (Inf. Sci., 2023)

EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species. - Fei Li 039; Shuai Liu 010; Kewei Li; Yaqi Zhang; Meiyu Duan; Zhaomin Yao; Gancheng Zhu; Yutong Guo; Ying Wang; Lan Huang 002; Fengfeng Zhou (Comput. Biol. Medicine, 2023)

GSRNet, an adversarial training-based deep framework with multi-scale CNN and BiGRU for predicting genomic signals and regions. - Gancheng Zhu; Yusi Fan; Fei Li 039; Annebella Tsz Ho Choi; Zhikang Tan; Yiruo Cheng; Kewei Li; Siyang Wang; Changfan Luo; Hongmei Liu; Gongyou Zhang; Zhaomin Yao; et al. (Expert Syst. Appl., 2023)

DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features. - Zhaomin Yao; Fei Li; Weiming Xie; Jiaming Chen; Jiezhang Wu; Ying Zhan; Xiaodan Wu; Zhiguo Wang 001; Guoxu Zhang (Comput. Biol. Medicine, 2024)

LeafConvNeXt: Enhancing plant disease classification for the future of unmanned farming. - Feifei Lu; Haonan Shangguan; Yizhe Yuan; Zheng Yan; Tianshuo Yuan; Yang Yang; Hongyu Wang; Weiming Xie; Guoxu Zhang; Zhiguo Wang; Zhaomin Yao (Comput. Electron. Agric., 2025)

IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images. - Zhaomin Yao; Weiming Xie; Jiaming Chen; Ying Zhan; Xiaodan Wu; Yingxin Dai; Yusong Pei; Zhiguo Wang 001; Guoxu Zhang (NeuroImage, 2025)