Mingquan Lin

According to our database, Mingquan Lin authored at least 34 papers between 2014 and 2024.

Collaborative distances:

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

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

Deep learning with noisy labels in medical prediction problems: a scoping review.

Yishu Wei, Yu Deng, Cong Sun, Mingquan Lin, Hongmei Jiang, Yifan Peng

CoRR, 2024

A survey of recent methods for addressing AI fairness and bias in biomedicine.

Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu

CoRR, 2024

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning.

Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng

CoRR, 2024

2023

A scoping review on multimodal deep learning in biomedical images and texts.

Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng

J. Biomed. Informatics, October, 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., August, 2023

Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access.

Mingquan Lin, Bo-Jian Hou, Swati Mishra, Tianyuan Yao, Yuankai Huo, Qian Yang, Fei Wang, George Shih, Yifan Peng

Comput. Biol. Medicine, June, 2023

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.

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

CoRR, 2023

An empirical study of using radiology reports and images to improve ICU mortality prediction.

Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng

CoRR, 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, Sarah Van Tassel, Yifan Peng

CoRR, 2023

Person re-identification via semi-supervised adaptive graph embedding.

Jiao Liu, Mingquan Lin, Mingbo Zhao, Choujun Zhan, Bing Li, John Kwok Tai Chui

Appl. Intell., 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

Proceedings of the Medical Imaging with Deep Learning, 2023

Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.

Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

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

Prior Knowledge Enhances Radiology Report Generation.

Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng

CoRR, 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, Yifan Peng

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Radiology Text Analysis System (RadText): Architecture and Evaluation.

Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

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, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review.

Mingquan Lin, Jacob F. Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang

CoRR, 2021

Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images.

Yupei Zhang, Yang Lei, Mingquan Lin, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 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, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

An empirical study of using radiology reports and images to improve ICU-mortality prediction.

Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Deep-recursive residual network for image semantic segmentation.

Yue Zhang, Xianrui Li, Mingquan Lin, Bernard Chiu, Mingbo Zhao

Neural Comput. Appl., 2020

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng

CoRR, 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

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

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

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2018

Trace Ratio Criterion based Discriminative Feature Selection via <i>l</i>_{2, <i>p</i>}-norm regularization for supervised learning.

Mingbo Zhao, Mingquan Lin, Bernard Chiu, Zhao Zhang, Xue-Song Tang

Neurocomputing, 2018

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

2017

AWM: Adaptive Weight Matting for medical image segmentation.

Jieyu Cheng, Mingbo Zhao, Minquan Lin, Bernard Chiu

Proceedings of the Medical Imaging 2017: Image Processing, 2017

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2014

A chest silhouette recognition method based on digital image processing.

Mingquan Lin, Junjie Xian, Di Gao, Shunxiang Wu, Jian-Huai Cai

Proceedings of the 10th International Conference on Natural Computation, 2014