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Junhu Fu

Showing results (1-10 of 8) with videos related to

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Visual Computing for Industry, Biomedicine, and Art|May 6, 2024
Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classificationYun Gao, Junhu Fu, Yuanyuan Wang, et al.
Medical & Biological Engineering & Computing|July 20, 2024
G-T correcting: an improved training of image segmentation under noisy labelsYun Gao, Junhu Fu, Yi Guo, et al.
Physics in Medicine and Biology|September 16, 2022
M<sup>3</sup>ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanismJunhu Fu, Shengli Lin, Pinghong Zhou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
MedFMIT: A Foundation Model-Driven Multimodal Fusion Method for Image-Text Disease DiagnosisShuyu Liang, Junhu Fu, Wutong Li, et al.
IEEE Journal of Biomedical and Health Informatics|March 27, 2026
TinyUSFM: Towards Compact and Efficient Ultrasound Foundation ModelsChen Ma, Jing Jiao, Shuyu Liang, et al.
IEEE Transactions on Medical Imaging|September 19, 2024
IPNet: An Interpretable Network With Progressive Loss for Whole-Stage Colorectal Disease DiagnosisJunhu Fu, Ke Chen, Qi Dou, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 27, 2025
SURF: A Self-Supervised Deep Learning Method for Reference-Free Deconvolution in Spatial TranscriptomicsShuyu Liang, Zixia Zhou, Peng Huang, et al.
IEEE Transactions on Medical Imaging|March 30, 2026
ColoDiff: Integrating Dynamic Consistency With Content Awareness for Colonoscopy Video GenerationJunhu Fu, Shuyu Liang, Wutong Li, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Visual Computing for Industry, Biomedicine, and Art|May 6, 2024
Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classificationYun Gao, Junhu Fu, Yuanyuan Wang, et al.
Medical & Biological Engineering & Computing|July 20, 2024
G-T correcting: an improved training of image segmentation under noisy labelsYun Gao, Junhu Fu, Yi Guo, et al.
Physics in Medicine and Biology|September 16, 2022
M<sup>3</sup>ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanismJunhu Fu, Shengli Lin, Pinghong Zhou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
MedFMIT: A Foundation Model-Driven Multimodal Fusion Method for Image-Text Disease DiagnosisShuyu Liang, Junhu Fu, Wutong Li, et al.
IEEE Journal of Biomedical and Health Informatics|March 27, 2026
TinyUSFM: Towards Compact and Efficient Ultrasound Foundation ModelsChen Ma, Jing Jiao, Shuyu Liang, et al.
IEEE Transactions on Medical Imaging|September 19, 2024
IPNet: An Interpretable Network With Progressive Loss for Whole-Stage Colorectal Disease DiagnosisJunhu Fu, Ke Chen, Qi Dou, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 27, 2025
SURF: A Self-Supervised Deep Learning Method for Reference-Free Deconvolution in Spatial TranscriptomicsShuyu Liang, Zixia Zhou, Peng Huang, et al.
IEEE Transactions on Medical Imaging|March 30, 2026
ColoDiff: Integrating Dynamic Consistency With Content Awareness for Colonoscopy Video GenerationJunhu Fu, Shuyu Liang, Wutong Li, et al.
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