Luyang Luo

According to our database, Luyang Luo authored at least 29 papers between 2019 and 2024.

Collaborative distances:

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

2024

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation.

Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen

CoRR, 2024

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization.

Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen

CoRR, 2024

Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council.

Luyang Luo, Xin Huang, Minghao Wang, Zhuoyue Wan, Hao Chen

CoRR, 2024

MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment.

Yequan Bie, Luyang Luo, Hao Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification.

Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng

Medical Image Anal., May, 2023

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.

Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen

CoRR, 2023

Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation.

Jia-Xin Zhuang, Luyang Luo, Zhixuan Chen, Linshan Wu

CoRR, 2023

Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images.

Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen

CoRR, 2023

Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder.

Jia-Xin Zhuang, Luyang Luo, Hao Chen

CoRR, 2023

Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images.

Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen

CoRR, 2023

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.

Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Varut Vardhanabhuti, Winnie CW Chu, Kwang-Ting Cheng, Hao Chen

CoRR, 2023

Learning Agreement from Multi-source Annotations for Medical Image Segmentation.

Yifeng Wang, Luyang Luo, Mingxiang Wu, Qiong Wang, Hao Chen

CoRR, 2023

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions.

Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen

CoRR, 2023

Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.

Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Scale Federated Learning for Label Set Mismatch in Medical Image Classification.

Zhipeng Deng, Luyang Luo, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification.

Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans.

Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection.

Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs.

Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng

CoRR, 2021

Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection.

Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng

CoRR, 2021

OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays.

Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng

CoRR, 2021

OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays.

Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images.

Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening.

Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2020

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model.

Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2020

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.

Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng

IEEE J. Biomed. Health Informatics, 2020

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning.

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

Medical Image Anal., 2020

2019

Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening.

Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.

Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019