A chest silhouette recognition method based on digital image processing. - Mingquan Lin; Junjie Xian; Di Gao; Shunxiang Wu; Jian-Huai Cai (ICNC, 2014)

Prostate lesion detection and localization based on locality alignment discriminant analysis. - Mingquan Lin; Weifu Chen; Mingbo Zhao; Eli Gibson; Matthew Bastian-Jordan; Derek W. Cool; Zahra Kassam; Tommy W. S. Chow; Aaron D. Ward; Bernard Chiu (Computer-Aided Diagnosis, 2017)

AWM: Adaptive Weight Matting for medical image segmentation. - Jieyu Cheng; Mingbo Zhao; Minquan Lin; Bernard Chiu (Image Processing, 2017)

A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging. - Weifu Chen; Mingquan Lin; Eli Gibson; Matthew Bastian-Jordan; Derek W. Cool; Zahra Kassam; Huageng Liang; Guocan Feng; Aaron D. Ward; Bernard Chiu (Comput. Biol. Medicine, 2018)

Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning. - Mingbo Zhao; Mingquan Lin; Bernard Chiu; Zhao Zhang 001; Xue-Song Tang (Neurocomputing, 2018)

Vessel wall segmentation of common carotid artery via multi-branch light network. - Haochen Tan; Huimin Shi; Mingquan Lin; John David Spence; Kwok-Leung Chan; Bernard Chiu (Image Processing, 2020)

Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection. - Mingquan Lin; He Cui; Weifu Chen; Arna van Engelen; Marleen de Bruijne; M. Reza Azarpazhooh; Seyed Mojtaba Sohrevardi; John David Spence; Bernard Chiu (Comput. Biol. Medicine, 2020)

Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection. - Xueli Chen; Mingquan Lin; He Cui; Yimin Chen; Arna van Engelen; Marleen de Bruijne; M. Reza Azarpazhooh; Seyed Mojtaba Sohrevardi; Tommy W. S. Chow; John David Spence; Bernard Chiu (Comput. Methods Programs Biomed., 2020)

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. - Yan Han 001; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Ying Ding 001; Yifan Peng 002 (CoRR, 2020)

Deep-recursive residual network for image semantic segmentation. - Yue Zhang 004; Xianrui Li; Mingquan Lin; Bernard Chiu; Mingbo Zhao (Neural Comput. Appl., 2020)

Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. - Gregory C. Ghahramani; Matthew Brendel; Mingquan Lin; Qingyu Chen 001; Tiarnan D. Keenan; Kun Chen 002; Emily Y. Chew; Zhiyong Lu; Yifan Peng 002; Fei Wang 001 (AMIA, 2021)

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. - Yan Han 001; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Song Wang 026; Ahmed H. Tewfik; George Shih; Ying Ding 001; Yifan Peng 002 (AMIA, 2021)

An empirical study of using radiology reports and images to improve ICU-mortality prediction. - Mingquan Lin; Song Wang 026; Ying Ding 001; Lihui Zhao; Fei Wang 001; Yifan Peng 002 (ICHI, 2021)

Fully automated segmentation of brain tumor from multiparametric MRI using 3D context U-Net with deep supervision. - Mingquan Lin; Shadab Momin; Boran Zhou; Katherine Tang; Yang Lei 002; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images. - Yupei Zhang; Yang Lei 002; Mingquan Lin; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review. - Mingquan Lin; Jacob F. Wynne; Yang Lei 002; Tonghe Wang; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (CoRR, 2021)

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. - Tingyi Wanyan; Mingquan Lin; Eyal Klang; Kartikeya M. Menon; Faris F. Gulamali; Ariful Azad; Yiye Zhang; Ying Ding 001; Zhangyang Wang; Fei Wang 001; Benjamin S. Glicksberg; Yifan Peng 002 (BCB, 2022)

Radiology Text Analysis System (RadText): Architecture and Evaluation. - Song Wang 026; Mingquan Lin; Ying Ding 001; George Shih; Zhiyong Lu; Yifan Peng 002 (ICHI, 2022)

Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction. - Mingquan Lin; Lei Liu; Mae Gorden; Michael Kass; Sarah Van Tassel; Fei Wang 001; Yifan Peng 002 (MLMI@MICCAI, 2022)

Prior Knowledge Enhances Radiology Report Generation. - Song Wang 026; Liyan Tang; Mingquan Lin; George Shih; Ying Ding 001; Yifan Peng 002 (CoRR, 2022)

Cascaded Triplanar Autoencoder M-Net for Fully Automatic Segmentation of Left Ventricle Myocardial Scar From Three-Dimensional Late Gadolinium-Enhanced MR Images. - Mingquan Lin; Mingjie Jiang; Mingbo Zhao; Eranga Ukwatta; James A. White; Bernard Chiu (IEEE J. Biomed. Health Informatics, 2022)

Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. - Tingyi Wanyan; Mingquan Lin; Ying Ding 001; Benjamin S. Glicksberg; Fei Wang 001; Yifan Peng 002 (ICHI, 2023)

An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation. - Yiwen Liu; Wenyu Xing; Mingbo Zhao; Mingquan Lin (MIDL, 2023)

Person re-identification via semi-supervised adaptive graph embedding. - Jiao Liu; Mingquan Lin; Mingbo Zhao; Choujun Zhan; Bing Li 007; John Kwok Tai Chui (Appl. Intell., 2023)

Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. - Mingquan Lin; Yuyun Xiao; Bo-Jian Hou; Tingyi Wanyan; Mohit Manoj Sharma; Zhangyang Wang; Fei Wang 001; Sarah Van Tassel; Yifan Peng 002 (CoRR, 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. - Mingquan Lin; Bo-Jian Hou; Swati Mishra 006; Tianyuan Yao; Yuankai Huo; Qian Yang 004; Fei Wang 001; George Shih; Yifan Peng 002 (Comput. Biol. Medicine, 2023)

A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module. - Yiwen Liu; Wenyu Xing; Mingbo Zhao; Mingquan Lin (Neural Comput. Appl., 2023)

A scoping review on multimodal deep learning in biomedical images and texts. - Zhaoyi Sun; Mingquan Lin; Qingqing Zhu; Qianqian Xie; Fei Wang 001; Zhiyong Lu; Yifan Peng 002 (J. Biomed. Informatics, 2023)

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. - Mingquan Lin; Tianhao Li; Zhaoyi Sun; Gregory Holste; Ying Ding 001; Fei Wang 001; George Shih; Yifan Peng 002 (CoRR, 2024)

Interpretable Differential Diagnosis with Dual-Inference Large Language Models. - Shuang Zhou 012; Sirui Ding; Jiashuo Wang; Mingquan Lin; Genevieve B. Melton; Rui Zhang 028 (CoRR, 2024)

Large Language Models for Disease Diagnosis: A Scoping Review. - Shuang Zhou 012; Zidu Xu; Mian Zhang; Chunpu Xu; Yawen Guo; Zaifu Zhan; Sirui Ding; Jiashuo Wang; Kaishuai Xu; Yi Fang; Liqiao Xia; Jeremy Yeung; et al. (CoRR, 2024)

Deep learning with noisy labels in medical prediction problems: a scoping review. - Yishu Wei; Yu Deng; Cong Sun 004; Mingquan Lin; Hongmei Jiang; Yifan Peng 002 (J. Am. Medical Informatics Assoc., 2024)

A survey of recent methods for addressing AI fairness and bias in biomedicine. - Yifan Yang 006; Mingquan Lin; Han Zhao 002; Yifan Peng 002; Furong Huang; Zhiyong Lu (J. Biomed. Informatics, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Gregory Holste; Mingquan Lin; Ruiwen Zhou; Fei Wang 001; Lei Liu; Qi Yan 008; Sarah Van Tassel; Kyle Kovacs; Emily Y. Chew; Zhiyong Lu; Zhangyang Wang; Yifan Peng 002 (npj Digit. Medicine, 2024)

Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Gregory Holste; Mingquan Lin; Ruiwen Zhou; Fei Wang 001; Lei Liu; Qi Yan 008; Sarah Van Tassel; Kyle Kovacs; Emily Y. Chew; Zhiyong Lu; Zhangyang Wang; Yifan Peng 002 (npj Digit. Medicine, 2024)

Multiclass and Multilabel Classifications by Consensus and Complementarity-Based Multiview Latent Space Projection. - Jianghong Ma; Weixuan Kou; Mingquan Lin; Carmen C. M. Cho; Bernard Chiu (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A New Classification Method for Diagnosing COVID-19 Pneumonia via Joint Parallel Deformable MLP Modules and Bi-LSTM With Multi-Source Generated Data of CXR Images. - Yiwen Liu; Wenyu Xing; Mingquan Lin; Yuping Liu; Tommy W. S. Chow (IEEE Trans. Consumer Electron., 2024)

Multimodal Image Classification by Multiview Latent Pattern Extraction, Selection, and Correlation. - Jianghong Ma; Weixuan Kou; Mingquan Lin; Carmen C. M. Cho; Bernard Chiu (IEEE Trans. Neural Networks Learn. Syst., 2024)

FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading. - Guojun Xiong; Zhiyang Deng; Keyi Wang; Yupeng Cao; Haohang Li; Yangyang Yu; Xueqing Peng; Mingquan Lin; Kaleb E. Smith; Xiao-Yang Liu; Jimin Huang; Sophia Ananiadou; et al. (ACL (Findings), 2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zile Huang; Haochen Xue; Ziyang Chen 003; Zelin Peng; Zhiwei Yang; Sijin Zhou; Wenxue Li; Yulong Li; et al. (CVPR, 2025)

A multimodal approach for few-shot biomedical named entity recognition in low-resource languages. - Jian Chen; Leilei Su; Yihong Li; Mingquan Lin; Yifan Peng 002; Cong Sun 004 (J. Biomed. Informatics, 2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuwei Guo; et al. (Medical Image Anal., 2025)

Continually Evolved Multimodal Foundation Models for Cancer Prognosis. - Jie Peng 002; Shuang Zhou 012; Longwei Yang; Yiran Song; Mohan Zhang; Kaixiong Zhou; Feng Xie; Mingquan Lin; Rui Zhang 028; Tianlong Chen 001 (CoRR, 2025)

Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis. - Shuang Zhou 012; Jiashuo Wang; Zidu Xu; Song Wang 013; David Brauer; Lindsay Welton; Jacob Cogan; Yuen-Hei Chung; Lei Tian; Zaifu Zhan; Yu Hou; Mingquan Lin; et al. (CoRR, 2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zelin Peng; Zhiwei Yang; Jionglong Su; Minquan Lin; Yifan Peng 002; Xuelian Cheng; Imran Razzak; Zongyuan Ge (CoRR, 2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuowei Guo; et al. (CoRR, 2025)

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. - Xueqing Peng; Lingfei Qian; Yan Wang; Ruoyu Xiang; Yueru He; Yang Ren; Mingyang Jiang; Jeff Zhao; Huan He; Yi Han; Yun Feng; Yuechen Jiang; et al. (CoRR, 2025)

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. - Tianrun Yu; Jiaqi Wang 002; Haoyu Wang 004; Mingquan Lin; Han Liu 008; Nelson S. Yee; Fenglong Ma (CoRR, 2025)

Data-Efficient Biomedical In-Context Learning: A Diversity-Enhanced Submodular Perspective. - Jun Wang; Zaifu Zhan; Qixin Zhang; Mingquan Lin; Meijia Song; Rui Zhang 028 (CoRR, 2025)