Selected Publications [Google Scholar]

* denotes co-first authorship; # denotes co-corresponding authorship

ReXGroundingCT

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

Preprint, 2025

Dataset
MLHC 2025

State-of-the-Art Text-prompted Medical Segmentation Models Struggle to Ground Chest CT Findings

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 Marino, Wenhui Lei, Ibrahim Ethem Hamamci, Pranav Rajpurkar

Machine Learning for Healthcare (MLHC), 2025

ReXplain
Best Paper

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, and Pranav Rajpurkar

AAAI AIMedHeath, 2025

PASTA

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, Zhenming Wang

Preprint, 2025

MOME

A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI

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

Nature Communications, 2025

BC Survey
Featured Article

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

Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Vince Vardhanabhuti, Winnie CW Chu, Kwang-Ting Cheng, Hao Chen

IEEE Reviews in Biomedical Engineering (IEEE RBME), 2025

Multi-source

Learning Robust Medical Image Segmentation from Multi-source Annotations

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

Medical Image Analysis, 2025

Ada-ABC

Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council

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

Medical Image Analysis (MedIA), 2025

MTL Scale Seg

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

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

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024

ICMIL

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 Transactions on Medical Imaging (IEEE TMI), 2024

ORFNet

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

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

IEEE Transactions on Medical Imaging (IEEE TMI), 2024

MICA

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

Yequan Bie, Luyang Luo, Hao Chen

AAAI Conference on Artificial Intelligence (AAAI), 2024

OvcaFinder

Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis

Huiling Xiang*, Yongjie Xiao*, Fang Li, Chunyan Li, Lixian Liu, Tingting Deng, Cuiju Yan, Fengtao Zhou, Xi Wang, Jinjing Ou, Qingguang Lin, Ruixia Hong, Lishu Huang, Luyang Luo, Huangjing Lin, Xi Lin, Hao Chen

Nature Communications, 2024

FedLSM

Scale Federated Learning for Label Set Mismatch in Medical Image Classification

Zhipeng Deng, Luyang Luo, Hao Chen

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023

RadAI

Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study

Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Chu Han, Zaiyi Liu, Xin Hao Benjamin Fang, Efstratios Tsougenis, Huangjing Lin, Pheng-Ann Heng

Radiology: Artificial Intelligence, 2022

PBBL
Early Accept

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

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

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

OXnet

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

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

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

COVID-19
Oral Presentation

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

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

TMI

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 Transactions on Medical Imaging (IEEE TMI), 2020

Angular
Early Accept

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

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019

JMRI

Weakly Supervised 3D Deep Learning for Breast Cancer Classification and Localization of the Lesions in MR Images

Juan Zhou, Luyang Luo*, Qi Dou, Hao Chen, Cheng Chen, Gong‐Jie Li, Ze‐Fei Jiang, Pheng‐Ann Heng

Journal of Magnetic Resonance Imaging (JMRI), 2019

Lancet
Cover Page

Detection of Glaucomatous Optic Neuropathy with Spectral-domain Optical Coherence Tomography: A Retrospective Training and Validation Deep-learning Analysis

An Ran Ran, Carol Y Cheung, Xi Wang, Hao Chen, Luyang Luo, Poemen P Chan, Mandy OM Wong, Robert T Chang, Suria S Mannil, Alvin L Young, Hon-wah Yung, Chi Pui Pang, Pheng-Ann Heng, Clement C Tham

The Lancet Digital Health, 2019