Several Key Problems in Model-Based Image Sequence Compression by Using Interframe AUs Correlation. - Defu Cai; Xiangwen Wang; Huiying Liang (ICIP (2), 1994)

Classification of Bacterial and Viral Childhood Pneumonia Using Deep Learning in Chest Radiography. - Xianghong Gu; Liyan Pan; Huiying Liang; Ran Yang (ICMIP, 2018)

Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs. - Wei Zhang; Guanbin Li; Fuyu Wang; Longjiang E; Yizhou Yu; Liang Lin; Huiying Liang (MICCAI (6), 2019)

Network analysis of autistic disease comorbidities in Chinese children based on ICD-10 codes. - Xiaojun Li; Guangjian Liu; Wenxiong Chen; Zhisheng Bi; Huiying Liang (BMC Medical Informatics Decis. Mak., 2020)

Multimodal AI System for the Rapid Diagnosis and Surgical Prediction of Necrotizing Enterocolitis. - Wenjing Gao; Yuanyuan Pei; Huiying Liang; Junjian Lv; Jiale Chen; Wei Zhong (IEEE Access, 2021)

Splicing learning: A novel few-shot learning approach. - Lianting Hu; Huiying Liang; Long Lu (Inf. Sci., 2021)

Cutting-Splicing data augmentation: A novel technology for medical image segmentation. - Lianting Hu; Huiying Liang; Jiajie Tang; Xin Li; Li Huang; Long Lu (CoRR, 2022)

Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty. - Yiming Xu; Xiaohong Liu 007; Liyan Pan; Xiaojian Mao; Huiying Liang; Guangyu Wang; Ting Chen 006 (IEEE J. Biomed. Health Informatics, 2022)

EBD: an eye biomarker database. - Xueli Zhang; Lingcong Kong; Shunming Liu; Xiayin Zhang; Xianwen Shang; Zhuoting Zhu; Yu Huang; Shuo Ma; Jason Ha; Katerina V. Kiburg; Chunwen Zheng; Yunyan Hu; et al. (Bioinform., 2023)

Diagnosis of generalized joint hypermobility with gait patterns using a deep neural network. - Guoqing Zhong; Shuai Huang; Ziyue Zhang; Zhenyan Xie; Huazhang Liu; Wenhan Huang; Xiaolong Zeng; Lianting Hu; Huiying Liang; Yu Zhang 149 (Comput. Biol. Medicine, 2023)

A cardiologist-like computer-aided interpretation framework to improve arrhythmia diagnosis from imbalanced training datasets. - Lianting Hu; Shuai Huang; Huazhang Liu; Yunmei Du; Junfei Zhao; Xiaoting Peng; Dantong Li; Xuanhui Chen; Huan Yang; Lingcong Kong; Jiajie Tang; Xin Li 091; et al. (Patterns, 2023)

Personalized Heart Disease Detection via ECG Digital Twin Generation. - Yaojun Hu; Jintai Chen; Lianting Hu; Dantong Li; Jiahuan Yan; Haochao Ying; Huiying Liang; Jian Wu 001 (IJCAI, 2024)

Precise detection of awareness in disorders of consciousness using deep learning framework. - Huan Yang; Hang Wu; Lingcong Kong; Wen Luo; Qiuyou Xie; Jiahui Pan; Wuxiu Quan; Lianting Hu; Dantong Li; Xuehai Wu; Huiying Liang; Pengmin Qin (NeuroImage, 2024)

A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer's disease. - Peixin Lu; Lianting Hu; Alexis Mitelpunkt; Surbhi Bhatnagar; Long Lu; Huiying Liang (Biomed. Signal Process. Control., 2024)

Unraveling the molecular landscape of non-small cell lung cancer: Integrating bioinformatics and statistical approaches to identify biomarkers and drug repurposing. - Adiba Sultana; Md Shahin Alam; Alima Khanam; Huiying Liang (Comput. Biol. Medicine, 2025)

Corrigendum to "Unraveling the molecular landscape of non-small cell lung cancer: Integrating bioinformatics and statistical approaches to identify biomarkers and drug repurposing" [Comput. Biol. Med. 187 (2025) 109744]. - Adiba Sultana; Md Shahin Alam; Alima Khanam; Huiying Liang (Comput. Biol. Medicine, 2025)

OmniFuse: A general modality fusion framework for multi-modality learning on low-quality medical data. - Yixuan Wu; Jintai Chen; Lianting Hu; Hongxia Xu; Huiying Liang; Jian Wu 001 (Inf. Fusion, 2025)