Luyang Luo

According to our database, Luyang Luo authored at least 49 papers between 2019 and 2025.

Collaborative distances:

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

2025

Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment.

Julián Nicolás Acosta, Scott J. Adams, Julius Kernbach, Romain Hardy, Sung Eun Kim, Luyang Luo, Xiaoman Zhang, Shreya Johri, Mohammed Baharoon, Pranav Rajpurkar

CoRR, July, 2025

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports.

Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Mahmoud Hussain Alabbad, Maha Sbayel Alhazmi, Neel P. Mistry, Kent Ryan Kleinschmidt, Brady Chrisler, Sathvik Suryadevara, Sri Sai Dinesh Jaliparthi, Noah Michael Prudlo, Mark David Marino, Jeremy Palacio, Rithvik Akula, Hong-Yu Zhou, Ibrahim Ethem Hamamci, Scott J. Adams, Hassan Rayhan AlOmaish, Pranav Rajpurkar

CoRR, July, 2025

Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images.

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

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images.

Cheng Jin, Fengtao Zhou, Yunfang Yu, Jiabo Ma, Yihui Wang, Yingxue Xu, Huajun Zhou, Hao Jiang, Luyang Luo, Luhui Mao, Zifan He, Xiuming Zhang, Jing Zhang, Ronald Cheong Kin Chan, Herui Yao, Hao Chen

CoRR, June, 2025

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology.

Jiabo Ma, Yingxue Xu, Fengtao Zhou, Yihui Wang, Cheng Jin, Zhengrui Guo, Jianfeng Wu, On Ki Tang, Huajun Zhou, Xi Wang, Luyang Luo, Zhengyu Zhang, Du Cai, Zizhao Gao, Wei Wang, Yueping Liu, Jiankun He, Jing Cui, Zhenhui Li, Jing Zhang, Feng Gao, Xiuming Zhang, Li Liang, Ronald Cheong Kin Chan, Zhe Wang, Hao Chen

CoRR, May, 2025

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification.

Cheng Jin, Luyang Luo, Huangjing Lin, Jun Hou, Hao Chen

IEEE Trans. Medical Imaging, April, 2025

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition.

Linshan Wu, Jiaxin Zhuang, Yanning Zhou, Sunan He, Jiabo Ma, Luyang Luo, Xi Wang, Xuefeng Ni, Xiaoling Zhong, Mingxiang Wu, Yinghua Zhao, Xiaohui Duan, Varut Vardhanabhuti, Pranav Rajpurkar, Hao Chen

CoRR, February, 2025

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation.

Hao Jiang, Cheng Jin, Huangjing Lin, Yanning Zhou, Xi Wang, Jiabo Ma, Li Ding, Jun Hou, Runsheng Liu, Zhizhong Chai, Luyang Luo, Huijuan Shi, Yinling Qian, Qiong Wang, Changzhong Li, Anjia Han, Ronald Cheong Kin Chan, Hao Chen

CoRR, February, 2025

A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation.

Wenhui Lei, Hanyu Chen, Zitian Zhang, Luyang Luo, Qiong Xiao, Yannian Gu, Peng Gao, Yankai Jiang, Ci Wang, Guangtao Wu, Tongjia Xu, Yingjie Zhang, Xiaofan Zhang, Pranav Rajpurkar, Shaoting Zhang, Zhenning Wang

CoRR, February, 2025

Learning robust medical image segmentation from multi-source annotations.

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

Medical Image Anal., 2025

Mitigating medical dataset bias by learning adaptive agreement from a biased council.

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

Medical Image Anal., 2025

2024

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

IEEE Trans. Medical Imaging, November, 2024

Guest Editorial: Trustworthy Machine Learning for Health Informatics.

Luyang Luo, Daguang Xu, Jing Qin, Yueming Jin, Hao Chen

IEEE J. Biomed. Health Informatics, November, 2024

Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images.

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

IEEE Trans. Medical Imaging, May, 2024

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.

Junlin Hou, Sicen Liu, Yequan Bie, Hongmei Wang, Andong Tan, Luyang Luo, Hao Chen

CoRR, 2024

ReXplain: Translating Radiology into Patient-Friendly Video Reports.

Luyang Luo, Jenanan Vairavamurthy, Xiaoman Zhang, Abhinav Kumar, Ramon R. Ter-Oganesyan, Stuart T. Schroff, Dan Shilo, Rydhwana Hossain, Mike Moritz, Pranav Rajpurkar

CoRR, 2024

SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition.

Shu Yang, Zhiyuan Cai, Luyang Luo, Ning Ma, Shuchang Xu, Hao Chen

CoRR, 2024

Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model.

Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie C. W. Chu, Zhenhui Li, Juan Zhou, Pranav Rajpurkar, Hao Chen

CoRR, 2024

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions.

Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen

CoRR, 2024

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

Zhixuan Chen, Luyang Luo, Yequan Bie, 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

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition.

Shu Yang, Luyang Luo, Qiong Wang, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging.

Zhipeng Deng, Luyang Luo, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Bootstrapping Radiography Pre-training via Siamese Masked Vision-Language Modeling with Complementary Self-distillation.

Wenqiang Li, Luyang Luo, Hao Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

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

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

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 C. W. 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