Luyang Luo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Image Classification

Multiple Instance

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. IEEE Trans. Medical Imaging 43 (5) (2024)
Zhipeng Deng, Luyang Luo, Hao Chen
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging. CoRR (2024)
Yequan Bie, Luyang Luo, Hao Chen
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. CoRR (2024)
Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen
Dia-LLaMA: Towards Large Language Model-driven CT Report Generation. CoRR (2024)
Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization. CoRR (2024)
Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions. CoRR (2024)
Yequan Bie, Luyang Luo, Hao Chen
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. AAAI (2024)
Luyang Luo, Xin Huang, Minghao Wang, Zhuoyue Wan, Hao Chen
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council. CoRR (2024)
Jia-Xin Zhuang, Luyang Luo, Hao Chen
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder. CoRR (2023)
Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions. CoRR (2023)
Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. Medical Image Anal. 86 (2023)
Zhipeng Deng, Luyang Luo, Hao Chen
Scale Federated Learning for Label Set Mismatch in Medical Image Classification. MICCAI (3) (2023)
Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. CoRR (2023)
Yifeng Wang, Luyang Luo, Mingxiang Wu, Qiong Wang, Hao Chen
Learning Agreement from Multi-source Annotations for Medical Image Segmentation. CoRR (2023)
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. CoRR (2023)
Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. CoRR (2023)
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher. CoRR (2023)
Zhipeng Deng, Luyang Luo, Hao Chen
Scale Federated Learning for Label Set Mismatch in Medical Image Classification. CoRR (2023)
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. MICCAI (6) (2023)
Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Vince Vardhanabhuti, Winnie CW Chu, Kwang-Ting Cheng, Hao Chen
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR (2023)
Jia-Xin Zhuang, Luyang Luo, Zhixuan Chen, Linshan Wu
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation. CoRR (2023)
Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. ISBI (2022)
Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans. CoRR (2022)
Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification. CoRR (2022)
Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng
Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification. MICCAI (8) (2022)
Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans. MICCAI (3) (2022)
Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays. MICCAI (2) (2021)
Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. CoRR (2021)
Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. CoRR (2021)
Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. CoRR (2021)
Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. CoRR (2021)
Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng
Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. MICCAI (2) (2021)
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. IEEE Trans. Medical Imaging 39 (11) (2020)
Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification. IEEE J. Biomed. Health Informatics 24 (12) (2020)
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. IEEE Trans. Medical Imaging 39 (11) (2020)
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. CoRR (2020)
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng
Deep Mining External Imperfect Data for Chest X-ray Disease Screening. CoRR (2020)
Xi Wang, Hao Chen, An-ran Ran, Luyang Luo, Poemen P. Chan, Clement C. Tham, Robert T. Chang, Suria S. Mannil, Carol Y. Cheung, Pheng-Ann Heng
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning. Medical Image Anal. 63 (2020)
Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening. CoRR (2019)
Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. MICCAI (4) (2019)
Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. CoRR (2019)
Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. MICCAI (1) (2019)