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ORCIDMingquan Lin
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- affiliation: City University of Hong Kong
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2020 – today
- 2025
[j19]Jian Chen, Leilei Su, Yihong Li, Mingquan Lin
, Yifan Peng, Cong Sun:
A multimodal approach for few-shot biomedical named entity recognition in low-resource languages. J. Biomed. Informatics 161: 104754 (2025)- [i16]Jie Peng, Shuang Zhou, Longwei Yang, Yiran Song, Mohan Zhang, Kaixiong Zhou, Feng Xie, Mingquan Lin, Rui Zhang, Tianlong Chen:
Continually Evolved Multimodal Foundation Models for Cancer Prognosis. CoRR abs/2501.18170 (2025) - [i15]Guojun Xiong, Zhiyang Deng, Keyi Wang, Yupeng Cao, Haohang Li, Yangyang Yu, Xueqing Peng, Mingquan Lin, Kaleb Smith, Xiao-Yang Liu, Jimin Huang, Sophia Ananiadou, Qianqian Xie:
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading. CoRR abs/2502.11433 (2025) - 2024
- [j18]Yishu Wei, Yu Deng, Cong Sun, Mingquan Lin, Hongmei Jiang, Yifan Peng:
Deep learning with noisy labels in medical prediction problems: a scoping review. J. Am. Medical Informatics Assoc. 31(7): 1596-1607 (2024) - [j17]Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu:
A survey of recent methods for addressing AI fairness and bias in biomedicine. J. Biomed. Informatics 154: 104646 (2024) - [j16]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97: 103224 (2024) - [j15]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [j14]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [j13]Yiwen Liu, Wenyu Xing, Mingquan Lin, Yuping Liu, Tommy W. S. Chow:
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. IEEE Trans. Consumer Electron. 70(1): 2794-2805 (2024) - [j12]Jianghong Ma, Weixuan Kou, Mingquan Lin, Carmen C. M. Cho, Bernard Chiu:
Multimodal Image Classification by Multiview Latent Pattern Extraction, Selection, and Correlation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8134-8148 (2024) - [j11]Jianghong Ma, Weixuan Kou, Mingquan Lin, Carmen C. M. Cho, Bernard Chiu:
Multiclass and Multilabel Classifications by Consensus and Complementarity-Based Multiview Latent Space Projection. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1705-1718 (2024) - [i14]Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng:
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. CoRR abs/2401.15111 (2024) - [i13]Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu:
A survey of recent methods for addressing AI fairness and bias in biomedicine. CoRR abs/2402.08250 (2024) - [i12]Yishu Wei, Yu Deng, Cong Sun, Mingquan Lin, Hongmei Jiang, Yifan Peng:
Deep learning with noisy labels in medical prediction problems: a scoping review. CoRR abs/2403.13111 (2024) - [i11]Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng:
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. CoRR abs/2405.08780 (2024) - [i10]Shuang Zhou, Sirui Ding, Jiashuo Wang, Mingquan Lin, Genevieve B. Melton, Rui Zhang:
Interpretable Differential Diagnosis with Dual-Inference Large Language Models. CoRR abs/2407.07330 (2024) - [i9]Shuang Zhou, Zidu Xu, Mian Zhang, Chunpu Xu, Yawen Guo, Zaifu Zhan, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Yi Fang, Liqiao Xia, Jeremy Yeung, Daochen Zha, Genevieve B. Melton, Mingquan Lin, Rui Zhang:
Large Language Models for Disease Diagnosis: A Scoping Review. CoRR abs/2409.00097 (2024) - 2023
- [j10]Jiao Liu, Mingquan Lin, Mingbo Zhao, Choujun Zhan, Bing Li, John Kwok Tai Chui:
Person re-identification via semi-supervised adaptive graph embedding. Appl. Intell. 53(3): 2656-2672 (2023) - [j9]Mingquan Lin, Bo-Jian Hou, Swati Mishra, Tianyuan Yao, Yuankai Huo, Qian Yang, Fei Wang, George Shih, Yifan Peng:
Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access. Comput. Biol. Medicine 159: 106962 (2023) - [j8]Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng:
A scoping review on multimodal deep learning in biomedical images and texts. J. Biomed. Informatics 146: 104482 (2023) - [j7]Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin:
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. Neural Comput. Appl. 35(23): 17187-17199 (2023) - [c14]Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng:
Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. ICHI 2023: 101-110 - [c13]Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin:
An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation. MIDL 2023: 416-425 - [i8]Mingquan Lin, Yuyun Xiao, Bo-Jian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng:
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. CoRR abs/2301.11315 (2023) - [i7]Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng:
A scoping review on multimodal deep learning in biomedical images and texts. CoRR abs/2307.07362 (2023) - [i6]Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng:
An empirical study of using radiology reports and images to improve ICU mortality prediction. CoRR abs/2307.07513 (2023) - [i5]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - 2022
- [j6]Mingquan Lin, Mingjie Jiang, Mingbo Zhao, Eranga Ukwatta, James A. White, Bernard Chiu:
Cascaded Triplanar Autoencoder M-Net for Fully Automatic Segmentation of Left Ventricle Myocardial Scar From Three-Dimensional Late Gadolinium-Enhanced MR Images. IEEE J. Biomed. Health Informatics 26(6): 2582-2593 (2022) - [c12]Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng:
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 2022: 9:1-9:9 - [c11]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. ICHI 2022: 288-296 - [c10]Mingquan Lin, Lei Liu, Mae Gorden, Michael Kass, Sarah Van Tassel, Fei Wang, Yifan Peng:
Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction. MLMI@MICCAI 2022: 436-445 - [i4]Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng:
Prior Knowledge Enhances Radiology Report Generation. CoRR abs/2201.03761 (2022) - [i3]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. CoRR abs/2204.09599 (2022) - 2021
- [c9]Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang:
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. AMIA 2021 - [c8]Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. AMIA 2021 - [c7]Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng:
An empirical study of using radiology reports and images to improve ICU-mortality prediction. ICHI 2021: 497-498 - [c6]Mingquan Lin, Shadab Momin, Boran Zhou, Katherine Tang, Yang Lei, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context U-Net with deep supervision. Computer-Aided Diagnosis 2021 - [c5]Yupei Zhang, Yang Lei, Mingquan Lin, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images. Computer-Aided Diagnosis 2021 - [i2]Mingquan Lin, Jacob F. Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review. CoRR abs/2103.13588 (2021) - 2020
- [j5]Mingquan Lin, He Cui, Weifu Chen, Arna van Engelen, Marleen de Bruijne, M. Reza Azarpazhooh, Seyed Mojtaba Sohrevardi, John David Spence, Bernard Chiu:
Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection. Comput. Biol. Medicine 116: 103586 (2020) - [j4]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:
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection. Comput. Methods Programs Biomed. 184: 105276 (2020) - [j3]Yue Zhang, Xianrui Li, Mingquan Lin, Bernard Chiu, Mingbo Zhao:
Deep-recursive residual network for image semantic segmentation. Neural Comput. Appl. 32(16): 12935-12947 (2020) - [c4]Haochen Tan, Huimin Shi, Mingquan Lin, John David Spence, Kwok-Leung Chan, Bernard Chiu:
Vessel wall segmentation of common carotid artery via multi-branch light network. Image Processing 2020: 1131311 - [i1]Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. CoRR abs/2011.12506 (2020)
2010 – 2019
- 2018
- [j2]Weifu Chen, Mingquan Lin, Eli Gibson, Matthew Bastian-Jordan, Derek W. Cool, Zahra Kassam, Huageng Liang, Guocan Feng, Aaron D. Ward, Bernard Chiu:
A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging. Comput. Biol. Medicine 96: 252-265 (2018) - [j1]Mingbo Zhao, Mingquan Lin, Bernard Chiu, Zhao Zhang, Xue-Song Tang:
Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning. Neurocomputing 321: 1-16 (2018) - 2017
- [c3]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:
Prostate lesion detection and localization based on locality alignment discriminant analysis. Computer-Aided Diagnosis 2017: 101344A - [c2]Jieyu Cheng, Mingbo Zhao, Minquan Lin, Bernard Chiu:
AWM: Adaptive Weight Matting for medical image segmentation. Image Processing 2017: 101332P - 2014
- [c1]Mingquan Lin, Junjie Xian, Di Gao, Shunxiang Wu, Jian-Huai Cai:
A chest silhouette recognition method based on digital image processing. ICNC 2014: 862-867
Coauthor Index
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