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Lianting Hu
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2020 – today
- 2025
[j11]Yixuan Wu
, Jintai Chen, Lianting Hu, Hongxia Xu, Huiying Liang, Jian Wu:
OmniFuse: A general modality fusion framework for multi-modality learning on low-quality medical data. Inf. Fusion 117: 102890 (2025)
[i3]Wanqi Wang, Chun Yang, Jianbo Shao, Yaokai Zhang, Xuehua Peng, Jin Sun, Chao Xiong, Long Lu, Lianting Hu:
A Multi-Stage Deep Learning Framework with PKCP-MixUp Augmentation for Pediatric Liver Tumor Diagnosis Using Multi-Phase Contrast-Enhanced CT. CoRR abs/2511.19478 (2025)- 2024
[j10]Xueli Zhang, Dantong Li, Siting Ye, Shunming Liu, Shuo Ma, Min Li, Qiliang Peng, Lianting Hu, Xianwen Shang, Mingguang He, Lei Zhang:
Decoding the genetic comorbidity network of Alzheimer's disease. BioData Min. 17(1) (2024)
[j9]Peixin Lu
, Lianting Hu
, Alexis Mitelpunkt, Surbhi Bhatnagar, Long Lu, Huiying Liang:
A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer's disease. Biomed. Signal Process. Control. 88(Part B): 105669 (2024)
[j8]Huan Yang
, Hang Wu
, Lingcong Kong, Wen Luo, Qiuyou Xie, Jiahui Pan, Wuxiu Quan, Lianting Hu, Dantong Li, Xuehai Wu, Huiying Liang, Pengmin Qin
:
Precise detection of awareness in disorders of consciousness using deep learning framework. NeuroImage 290: 120580 (2024)
[c1]Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu:
Personalized Heart Disease Detection via ECG Digital Twin Generation. IJCAI 2024: 5872-5881
[i2]Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu:
Personalized Heart Disease Detection via ECG Digital Twin Generation. CoRR abs/2404.11171 (2024)- 2023
[j7]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:
A Deep Learning-Based Brain Age Prediction Model for Preterm Infants via Neonatal MRI. IEEE Access 11: 68994-69004 (2023)
[j6]Guoqing Zhong, Shuai Huang, Ziyue Zhang, Zhenyan Xie, Huazhang Liu
, Wenhan Huang, Xiaolong Zeng, Lianting Hu
, Huiying Liang, Yu Zhang:
Diagnosis of generalized joint hypermobility with gait patterns using a deep neural network. Comput. Biol. Medicine 164: 107360 (2023)
[j5]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
:
A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography. npj Digit. Medicine 6 (2023)
[j4]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:
A cardiologist-like computer-aided interpretation framework to improve arrhythmia diagnosis from imbalanced training datasets. Patterns 4(9): 100795 (2023)- 2022
[j3]Peixin Lu, Xin Li, Lianting Hu
, Long Lu:
Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification. Multim. Tools Appl. 81(14): 19183-19194 (2022)
[j2]Xin Li, Peixin Lu, Lianting Hu
, XiaoGuang Wang, Long Lu:
A novel self-learning semi-supervised deep learning network to detect fake news on social media. Multim. Tools Appl. 81(14): 19341-19349 (2022)
[i1]Lianting Hu, Huiying Liang, Jiajie Tang, Xin Li, Li Huang, Long Lu:
Cutting-Splicing data augmentation: A novel technology for medical image segmentation. CoRR abs/2210.09099 (2022)- 2021
[j1]Lianting Hu
, Huiying Liang, Long Lu:
Splicing learning: A novel few-shot learning approach. Inf. Sci. 552: 17-28 (2021)
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last updated on 2026-01-16 01:33 CET by the dblp team
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