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)

A novel self-learning semi-supervised deep learning network to detect fake news on social media. - Xin Li; Peixin Lu; Lianting Hu; XiaoGuang Wang; Long Lu (Multim. Tools Appl., 2022)

Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification. - Peixin Lu; Xin Li; Lianting Hu; Long Lu (Multim. Tools Appl., 2022)

A Deep Learning-Based Brain Age Prediction Model for Preterm Infants via Neonatal MRI. - Jiajie Tang; Pu Yang; Bingbing Xie; Cong Wei; Lianting Hu; Shouyi Wang; Yuxuan Jiang 013; Ruizhuo Li; Hang Zhou; Haiqing Xu; Qirong Wan; Jin Han; et al. (IEEE Access, 2023)

A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography. - Jiajie Tang; Yongen Liang; Yuxuan Jiang 013; Jinrong Liu; Rui Zhang; Danping Huang; Chengcheng Pang; Chen Huang; Dongni Luo; Xue Zhou; Ruizhuo Li; Kanghui Zhang; et al. (npj Digit. Medicine, 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)

Decoding the genetic comorbidity network of Alzheimer's disease. - Xueli Zhang; Dantong Li; Siting Ye; Shunming Liu; Shuo Ma; Min Li; Qiliang Peng; Lianting Hu; Xianwen Shang; Mingguang He; Lei Zhang 095 (BioData Min., 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)

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)