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Mingquan Lin
Mingquan Lin
Cornell University, Emory University, City University of Hong Kong
在 med.cornell.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U‐Net
M Lin, S Momin, Y Lei, H Wang, WJ Curran, T Liu, X Yang
Medical Physics 48 (8), 4365-4374, 2021
262021
Artificial intelligence in tumor subregion analysis based on medical imaging: A review
M Lin, JF Wynne, B Zhou, T Wang, Y Lei, WJ Curran, T Liu, X Yang
Journal of Applied Clinical Medical Physics 22 (7), 10-26, 2021
202021
Trace ratio criterion based discriminative feature selection via l2, p-norm regularization for supervised learning
M Zhao, M Lin, B Chiu, Z Zhang, X Tang
Neurocomputing 321, 1-16, 2018
182018
Deep-recursive residual network for image semantic segmentation
Y Zhang, X Li, M Lin, B Chiu, M Zhao
Neural computing and applications 32, 12935-12947, 2020
172020
Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning
Q Zhang, H Qiao, J Dou, B Sui, X Zhao, Z Chen, Y Wang, S Chen, M Lin, ...
Magnetic Resonance Imaging 60, 93-100, 2019
142019
Cascaded triplanar autoencoder m-net for fully automatic segmentation of left ventricle myocardial scar from three-dimensional late gadolinium-enhanced mr images
M Lin, M Jiang, M Zhao, E Ukwatta, JA White, B Chiu
IEEE Journal of Biomedical and Health Informatics 26 (6), 2582-2593, 2022
102022
Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection
M Lin, H Cui, W Chen, A van Engelen, M de Bruijne, MR Azarpazhooh, ...
Computers in Biology and Medicine 116, 103586, 2020
102020
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection
X Chen, M Lin, H Cui, Y Chen, A van Engelen, M de Bruijne, ...
Computer Methods and Programs in Biomedicine 184, 105276, 2020
92020
Using radiomics as prior knowledge for thorax disease classification and localization in chest x-rays
Y Han, C Chen, L Tang, M Lin, A Jaiswal, S Wang, A Tewfik, G Shih, ...
AMIA Annual Symposium Proceedings 2021, 546, 2021
82021
Vessel wall segmentation of common carotid artery via multi-branch light network
H Tan, H Shi, M Lin, JD Spence, KL Chan, B Chiu
Medical Imaging 2020: Image Processing 11313, 228-233, 2020
72020
Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis
M Lin, W Chen, M Zhao, E Gibson, M Bastian‐Jordan, DW Cool, ...
Medical physics 45 (10), 4607-4618, 2018
72018
Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images
Y Zhang, Y Lei, M Lin, W Curran, T Liu, X Yang
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 196-201, 2021
62021
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS
G Ghahramani, M Brendel, M Lin, Q Chen, T Keenan, K Chen, E Chew, ...
AMIA Annual Symposium Proceedings 2021, 506, 2021
62021
Person re-identification via semi-supervised adaptive graph embedding
J Liu, M Lin, M Zhao, C Zhan, B Li, JKT Chui
Applied Intelligence 53 (3), 2656-2672, 2023
52023
Automated diagnosing primary open-angle glaucoma from fundus image by simulating human’s grading with deep learning
M Lin, B Hou, L Liu, M Gordon, M Kass, F Wang, SH Van Tassel, Y Peng
Scientific reports 12 (1), 14080, 2022
52022
An empirical study of using radiology reports and images to improve ICU-mortality prediction
M Lin, S Wang, Y Ding, L Zhao, F Wang, Y Peng
2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 497-498, 2021
52021
AWM: Adaptive Weight Matting for medical image segmentation
J Cheng, M Zhao, M Lin, B Chiu
Medical Imaging 2017: Image Processing 10133, 769-774, 2017
52017
Prior knowledge enhances radiology report generation
S Wang, L Tang, M Lin, G Shih, Y Ding, Y Peng
AMIA Annual Symposium Proceedings 2022, 486, 2022
42022
Using radiomics as prior knowledge for abnormality classification and localization in chest x-rays
Y Han, C Chen, L Tang, M Lin, A Jaiswal, Y Ding, Y Peng
Transport Res Rec J Transport Res Board 2674 (2), 1-11, 2020
42020
A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging
W Chen, M Lin, E Gibson, M Bastian-Jordan, DW Cool, Z Kassam, ...
Computers in biology and medicine 96, 252-265, 2018
42018
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