Luyang Luo

73 papers A* 2Journal 54Unranked 16
YearRankTypeTitle / Venue / Authors
2026 A* conf
Knowledge-Enhanced Explainable Prompting for Vision-Language Models.
AAAI
Yequan Bie, Andong Tan, Zhixuan Chen, Zhiyuan Cai, Luyang Luo, Hao Chen
2026 J jnl
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition.
IEEE Trans. Medical Imaging
Shu Yang, Zhiyuan Cai, Luyang Luo, Ning Ma, Shuchang Xu, Hao Chen
2025 J jnl
3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models.
CoRR
Sraavya Sambara, Sung Eun Kim, Xiaoman Zhang, Luyang Luo, Shreya Johri, Mohammed Baharoon, Du Hyun Ro, Pranav Rajpurkar
2025 J jnl
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation.
CoRR
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
2025 J jnl
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoders.
IEEE Trans. Medical Imaging
Jiaxin Zhuang, Luyang Luo, Qiong Wang, Mingxiang Wu, Lin Luo, Hao Chen
2025 — conf
Dia-LLaMA: Towards Large Language Model-Driven CT Report Generation.
MICCAI (7)
Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen
2025 J jnl
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition.
CoRR
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
2025 J jnl
Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation.
CoRR
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
2025 J jnl
Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images.
CoRR
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
2025 J jnl
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification.
IEEE Trans. Medical Imaging
Cheng Jin, Luyang Luo, Huangjing Lin, Jun Hou, Hao Chen
2025 J jnl
Learning robust medical image segmentation from multi-source annotations.
Medical Image Anal.
Yifeng Wang, Luyang Luo, Mingxiang Wu, Qiong Wang, Hao Chen
2025 J jnl
Mitigating medical dataset bias by learning adaptive agreement from a biased council.
Medical Image Anal.
Luyang Luo, Xin Huang, Minghao Wang, Zhuoyue Wan, Wanteng Ma, Hao Chen
2025 J jnl
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology.
CoRR
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
2025 J jnl
ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports.
CoRR
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
2025 — conf
ReXplain: Translating Radiology into Patient-Friendly Video Reports.
AAAI Bridge Program
Luyang Luo, Jenanan Vairavamurthy, Xiaoman Zhang, Abhinav Kumar, Ramon R. Ter-Oganesyan, Stuart T. Schroff, Dan Shilo, Rydhwana Hossain, Mike Moritz, Pranav Rajpurkar
2025 J jnl
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images.
IEEE Trans. Neural Networks Learn. Syst.
Luyang Luo, Yanwen Li, Zhizhong Chai, Huangjing Lin, Pheng-Ann Heng, Hao Chen
2025 — conf
State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings.
MLHC
Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Kent Kleinschmidt, Sri Sai Dinesh Jaliparthi, Sathvik Suryadevara, Rithvik Akula, Mark David Marino, Wenhui Lei, Ibrahim Ethem Hamamci, Pranav Rajpurkar
2025 J jnl
Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment.
CoRR
Julián N. Acosta, Scott J. Adams, Julius M. Kernbach, Romain Hardy, Sung Eun Kim, Luyang Luo, Xiaoman Zhang, Shreya Johri, Mohammed Baharoon, Pranav Rajpurkar
2024 — conf
Bootstrapping Radiography Pre-training via Siamese Masked Vision-Language Modeling with Complementary Self-distillation.
BIBM
Wenqiang Li, Luyang Luo, Hao Chen
2024 J jnl
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images.
IEEE Trans. Medical Imaging
Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
2024 J jnl
Dia-LLaMA: Towards Large Language Model-driven CT Report Generation.
CoRR
Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen
2024 — conf
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging.
MICCAI (10)
Zhipeng Deng, Luyang Luo, Hao Chen
2024 J jnl
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging.
CoRR
Zhipeng Deng, Luyang Luo, Hao Chen
2024 J jnl
Guest Editorial: Trustworthy Machine Learning for Health Informatics.
IEEE J. Biomed. Health Informatics
Luyang Luo, Daguang Xu, Jing Qin, Yueming Jin, Hao Chen
2024 J jnl
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification.
CoRR
Cheng Jin, Luyang Luo, Huangjing Lin, Jun Hou, Hao Chen
2024 A* conf
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment.
AAAI
Yequan Bie, Luyang Luo, Hao Chen
2024 J jnl
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment.
CoRR
Yequan Bie, Luyang Luo, Hao Chen
2024 J jnl
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council.
CoRR
Luyang Luo, Xin Huang, Minghao Wang, Zhuoyue Wan, Hao Chen
2024 J jnl
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions.
CoRR
Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen
2024 J jnl
ReXplain: Translating Radiology into Patient-Friendly Video Reports.
CoRR
Luyang Luo, Jenanan Vairavamurthy, Xiaoman Zhang, Abhinav Kumar, Ramon R. Ter-Oganesyan, Stuart T. Schroff, Dan Shilo, Rydhwana Hossain, Mike Moritz, Pranav Rajpurkar
2024 J jnl
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
IEEE Trans. Medical Imaging
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
2024 J jnl
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.
CoRR
Junlin Hou, Sicen Liu, Yequan Bie, Hongmei Wang, Andong Tan, Luyang Luo, Hao Chen
2024 J jnl
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition.
CoRR
Shu Yang, Zhiyuan Cai, Luyang Luo, Ning Ma, Shuchang Xu, Hao Chen
2024 — conf
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition.
MICCAI (6)
Shu Yang, Luyang Luo, Qiong Wang, Hao Chen
2024 J jnl
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition.
CoRR
Shu Yang, Luyang Luo, Qiong Wang, Hao Chen
2024 J jnl
Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model.
CoRR
Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie C. W. Chu, Zhenhui Li, Juan Zhou, Pranav Rajpurkar, Hao Chen
2024 — conf
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization.
MICCAI (12)
Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen
2024 J jnl
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization.
CoRR
Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen
2023 J jnl
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder.
CoRR
Jia-Xin Zhuang, Luyang Luo, Hao Chen
2023 J jnl
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.
CoRR
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
2023 J jnl
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images.
CoRR
Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
2023 J jnl
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation.
CoRR
Jia-Xin Zhuang, Luyang Luo, Zhixuan Chen, Linshan Wu
2023 — conf
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.
MICCAI (6)
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
2023 J jnl
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.
CoRR
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
2023 J jnl
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions.
CoRR
Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen
2023 J jnl
Learning Agreement from Multi-source Annotations for Medical Image Segmentation.
CoRR
Yifeng Wang, Luyang Luo, Mingxiang Wu, Qiong Wang, Hao Chen
2023 J jnl
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
CoRR
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
2023 — conf
Scale Federated Learning for Label Set Mismatch in Medical Image Classification.
MICCAI (3)
Zhipeng Deng, Luyang Luo, Hao Chen
2023 J jnl
Scale Federated Learning for Label Set Mismatch in Medical Image Classification.
CoRR
Zhipeng Deng, Luyang Luo, Hao Chen
2023 J jnl
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images.
CoRR
Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen
2023 J jnl
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification.
Medical Image Anal.
Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng
2023 — ed.
Trustworthy Machine Learning for Healthcare - First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings
TML4H
Hao Chen, Luyang Luo
2022 — conf
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection.
ISBI
Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng
2022 — conf
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans.
MICCAI (3)
Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen
2022 J jnl
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans.
CoRR
Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen
2022 — conf
Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification.
MICCAI (8)
Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng
2022 J jnl
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification.
CoRR
Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng
2021 J jnl
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection.
CoRR
Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng
2021 J jnl
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images.
CoRR
Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng
2021 — conf
Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images.
MICCAI (2)
Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng
2021 — conf
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays.
MICCAI (2)
Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng
2021 J jnl
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays.
CoRR
Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng
2021 J jnl
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs.
CoRR
Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng
2020 J jnl
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening.
IEEE Trans. Medical Imaging
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng
2020 J jnl
Deep Mining External Imperfect Data for Chest X-ray Disease Screening.
CoRR
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng
2020 J jnl
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model.
IEEE Trans. Medical Imaging
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng
2020 J jnl
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model.
CoRR
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng
2020 J jnl
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning.
Medical Image Anal.
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
2020 J jnl
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
IEEE J. Biomed. Health Informatics
Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng
2019 — conf
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.
MICCAI (4)
Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng
2019 J jnl
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.
CoRR
Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng
2019 — conf
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening.
MICCAI (1)
Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng
2019 J jnl
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening.
CoRR
Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng