Yuexiang Li
Yuexiang Li
Professor, Medical AI ReSearch (MARS) Group @ GXMU
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Skin lesion analysis towards melanoma detection using deep learning network
Y Li, L Shen
Sensors 18 (2), 556, 2018
An objective comparison of cell-tracking algorithms
V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ...
Nature methods 14 (12), 1141-1152, 2017
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
Self-supervised feature learning for 3d medical images by playing a rubik’s cube
X Zhuang, Y Li, Y Hu, K Ma, Y Yang, Y Zheng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Rubik’s cube+: A self-supervised feature learning framework for 3d medical image analysis
J Zhu, Y Li, Y Hu, K Ma, SK Zhou, Y Zheng
Medical image analysis 64, 101746, 2020
Mil-vt: Multiple instance learning enhanced vision transformer for fundus image classification
S Yu, K Ma, Q Bi, C Bian, M Ning, N He, Y Li, H Liu, Y Zheng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Self-loop uncertainty: A novel pseudo-label for semi-supervised medical image segmentation
Y Li, J Chen, X Xie, K Ma, Y Zheng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Computer-aided cervical cancer diagnosis using time-lapsed colposcopic images
Y Li, J Chen, P Xue, C Tang, J Chang, C Chu, K Ma, Q Li, Y Zheng, ...
IEEE transactions on medical imaging 39 (11), 3403-3415, 2020
cC-GAN: A robust transfer-learning framework for HEp-2 specimen image segmentation
Y Li, L Shen
IEEE Access 6, 14048-14058, 2018
Deep learning based gastric cancer identification
Y Li, X Li, X Xie, L Shen
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
Efficient and effective training of COVID-19 classification networks with self-supervised dual-track learning to rank
Y Li, D Wei, J Chen, S Cao, H Zhou, Y Zhu, J Wu, L Lan, W Sun, T Qian, ...
IEEE Journal of Biomedical and Health Informatics 24 (10), 2787-2797, 2020
Anomaly detection for medical images using self-supervised and translation-consistent features
H Zhao, Y Li, N He, K Ma, L Fang, H Li, Y Zheng
IEEE Transactions on Medical Imaging 40 (12), 3641-3651, 2021
mmformer: Multimodal medical transformer for incomplete multimodal learning of brain tumor segmentation
Y Zhang, N He, J Yang, Y Li, D Wei, Y Huang, Y Zhang, Z He, Y Zheng
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Revisiting Rubik’s cube: self-supervised learning with volume-wise transformation for 3D medical image segmentation
X Tao, Y Li, W Zhou, K Ma, Y Zheng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Deep learning based multimodal brain tumor diagnosis
Y Li, L Shen
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
Instance-aware self-supervised learning for nuclei segmentation
X Xie, J Chen, Y Li, L Shen, K Ma, Y Zheng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
HEp-2 specimen image segmentation and classification using very deep fully convolutional network
Y Li, L Shen, S Yu
IEEE transactions on medical imaging 36 (7), 1561-1572, 2017
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies
P Xue, C Tang, Q Li, Y Li, Y Shen, Y Zhao, J Chen, J Wu, L Li, W Wang, ...
BMC medicine 18, 1-10, 2020
Age challenge: angle closure glaucoma evaluation in anterior segment optical coherence tomography
H Fu, F Li, X Sun, X Cao, J Liao, JI Orlando, X Tao, Y Li, S Zhang, M Tan, ...
Medical Image Analysis 66, 101798, 2020
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