Publications by authors named "Hanhe Lin"

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SGNet: Style-Guided Network with Temporal Compensation for Unpaired Low-Light Colonoscopy Video Enhancement.
Guanghui Yue, Lixin Zhang, Wanqing Liu, Jingfeng Du, Tianwei Zhou, Hanhe Lin

IEEE Trans Image Process· December 2025

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Benchmarking Laryngeal Neoplasm Segmentation: A Multicenter Dataset and an Effective Method.
Guanghui Yue, Shangjie Wu, Ruxian Tian, Hanhe Lin, Jiaxuan Li

IEEE Trans Image Process· November 2025

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AMLPF-CLIP: Adaptive Prompting and Distilled Learning for Imbalanced Histopathological Image Classification.
Xizhang Yao, Guanghui Yue, Jeremiah D Deng, Hanhe Lin, Wei Zhou

IEEE J Biomed Health Inform· October 2025

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Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis.
Xu Tian, Hong-Dong Li, Hanhe Lin, Chao Li, Yu-Ping Wang

Neural Netw· July 2025

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Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction.
Junbin Mao, Jin Liu, Xu Tian, Yi Pan, Emanuele Trucco, Hanhe Lin

IEEE Trans Med Imaging· March 2025

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Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery.
Jin Liu, Junbin Mao, Hanhe Lin, Hulin Kuang, Shirui Pan

IEEE Trans Comput Biol Bioinform· January 2025

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Neural Inference Search for Multiloss Segmentation Models.
Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Hanhe Lin

IEEE Trans Neural Netw Learn Syst· November 2024

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Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis.
Rui Guo, Xu Tian, Hanhe Lin, Stephen McKenna, Hong-Dong Li

IEEE/ACM Trans Comput Biol Bioinform· February 2024

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Computer vision-based helmet use registration for e-scooter riders - The impact of the mandatory helmet law in Copenhagen.
Felix Wilhelm Siebert, Christoffer Riis, Kira Hyldekær Janstrup, Hanhe Lin, Frederik Boe Hüttel

J Safety Res· December 2023

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Detecting motorcycle helmet use with deep learning.
Felix Wilhelm Siebert, Hanhe Lin

Accid Anal Prev· January 2020

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KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment.
Vlad Hosu, Hanhe Lin, Tamas Sziranyi, Dietmar Saupe

IEEE Trans Image Process· January 2020

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