Lianting Hu

According to our database, Lianting Hu authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing fairness and standardization in AI-versus-physician diagnostic comparisons: A scoping review.

Xun Chen, Hewen Xu, Ying Huang, Fanfan Zhu, Jiajie Tang, Hongjun Li, Xiangde Min, Lianting Hu, Long Lu

Int. J. Medical Informatics, 2026

2025

A Multi-Stage Deep Learning Framework with PKCP-MixUp Augmentation for Pediatric Liver Tumor Diagnosis Using Multi-Phase Contrast-Enhanced CT.

Wanqi Wang, Chun Yang, Jianbo Shao, Yaokai Zhang, Xuehua Peng, Jin Sun, Chao Xiong, Long Lu, Lianting Hu

CoRR, November, 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

Inf. Fusion, 2025

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., February, 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

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

BioData Min., 2024

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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, Heng Liang, Huiying Liang

Patterns, September, 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

Comput. Biol. Medicine, September, 2023

A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography.

Jiajie Tang, Yongen Liang, Yuxuan Jiang, Jinrong Liu, Rui Zhang, Danping Huang, Chengcheng Pang, Chen Huang, Dongni Luo, Xue Zhou, Ruizhuo Li, Kanghui Zhang, Bingbing Xie, Lianting Hu, Fanfan Zhu, Huimin Xia, Long Lu, Hongying Wang

npj Digit. Medicine, 2023

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, Ruizhuo Li, Hang Zhou, Haiqing Xu, Qirong Wan, Jin Han, Dongchi Zhao, Long Lu

IEEE Access, 2023

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 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

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

2021

Splicing learning: A novel few-shot learning approach.

Lianting Hu, Huiying Liang, Long Lu

Inf. Sci., 2021