Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. - Jianhong Cheng; Jin Liu 012; Liangliang Liu 001; Yi Pan 001; Jianxin Wang 001 (BIBM, 2019)

Battery-free wireless sensor system with compressed sensing for table grapes cold chain. - Xinqing Xiao; Zetian Fu; Xiaoshuan Zhang; Jianhong Cheng; Mingsong Yang (Comput. Electron. Agric., 2019)

A survey on U-shaped networks in medical image segmentations. - Liangliang Liu 001; Jianhong Cheng; Quan Quan; Fang-Xiang Wu; Yu-Ping Wang 002; Jianxin Wang 001 (Neurocomputing, 2020)

ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention. - Lei Xu; Jianhong Cheng; Jin Liu 012; Hulin Kuang; Fan Wu; Jianxin Wang 001 (BIBM, 2021)

Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations. - Jianhong Cheng; Jin Liu 012; Meilin Jiang; Hailin Yue; Lin Wu; Jianxin Wang 001 (ICASSP, 2021)

A New Deep Learning Training Scheme: Application to Biomedical Data. - Jianhong Cheng; Qichang Zhao; Lei Xu; Jin Liu 012 (ISBRA, 2021)

MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. - Xinyu Li; Jianhong Cheng; Jin Liu 012; Hulin Kuang; Chengchao Shen; Pei Yang; Jianxin Wang 001 (BIBM, 2022)

DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis. - Jianhong Cheng; Hulin Kuang; Qichang Zhao; Yahui Wang; Lei Xu; Jin Liu 012; Jianxin Wang 001 (Future Gener. Comput. Syst., 2022)

DARC: Deep adaptive regularized clustering for histopathological image classification. - Junjian Li; Jin Liu 012; Hailin Yue; Jianhong Cheng; Hulin Kuang; Harrison X. Bai; Yu-Ping Wang 002; Jianxin Wang 001 (Medical Image Anal., 2022)

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. - Hailin Yue; Jin Liu 012; Junjian Li; Hulin Kuang; Jinyi Lang; Jianhong Cheng; Lin Peng; Yongtao Han; Harrison X. Bai; Yu-Ping Wang 002; Qifeng Wang; Jianxin Wang 001 (Medical Image Anal., 2022)

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. - Jianhong Cheng; Jin Liu 012; Hailin Yue; Harrison X. Bai; Yi Pan 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. - Jianhong Cheng; Wei Zhao 040; Jin Liu 012; Xingzhi Xie; Shangjie Wu; Liangliang Liu 001; Hailin Yue; Junjian Li; Jianxin Wang 001; Jun Liu 075 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. - Jianhong Cheng; Min Gao; Jin Liu 012; Hailin Yue; Hulin Kuang; Jun Liu 075; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping. - Jianhong Cheng; Jin Liu 012; Hulin Kuang; Jianxin Wang 001 (IEEE Trans. Medical Imaging, 2022)

M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping. - Jingxiao Yao; Jin Liu 012; Jianhong Cheng; Hulin Kuang; Jian-Xin Wang 001 (BIBM, 2023)

A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer. - Hailin Yue; Jin Liu 012; Hulin Kuang; Jianhong Cheng; Junjian Li; Jianxin Wang 001 (BIBM, 2023)

Incomplete Multimodal Learning with Modality-Aware Feature Interaction for Brain Tumor Segmentation. - Jianhong Cheng; Rui Feng; Jinyang Li; Jun Xu (ISBRA (2), 2024)

User behavior and energy-saving potential of electric washing machines. - Lu Qiao; Xue Bai; Xiuying Liang; Jianhong Cheng; Yujuan Xia (Energy Inform., 2024)

Towards Calibrated Deep Clustering Network. - Yuheng Jia; Jianhong Cheng; Hui Liu 032; Junhui Hou (ICLR, 2025)

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning. - Fuchao Yang; Jianhong Cheng; Hui Liu 032; Yongqiang Dong; Yuheng Jia; Junhui Hou (KDD (1), 2025)

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI. - Jianhong Cheng; Hulin Kuang; Songhan Yang; Hailin Yue; Jin Liu 012; Jianxin Wang (Big Data Min. Anal., 2025)

DBMAE-Net: A dual branch multi-scale feature adaptive extraction network for retinal arteriovenous vessel segmentation. - Cheng Wan 003; Jianhong Cheng; Weihua Yang; Lu Chen (Biomed. Signal Process. Control., 2025)