Yuexiang Li
Yuexiang Li
Jarvis Lab, Tencent
確認したメール アドレス: tencent.com - ホームページ
タイトル
引用先
引用先
Skin lesion analysis towards melanoma detection using deep learning network
Y Li, L Shen
Sensors 18 (2), 556, 2018
3102018
An objective comparison of cell-tracking algorithms
V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ...
Nature methods 14 (12), 1141-1152, 2017
2902017
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
722019
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
International Conference on Medical Image Computing and Computer-Assisted …, 2019
492019
cC-GAN: A robust transfer-learning framework for HEp-2 specimen image segmentation
Y Li, L Shen
IEEE Access 6, 14048-14058, 2018
462018
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
442017
Deep learning based multimodal brain tumor diagnosis
Y Li, L Shen
International MICCAI Brainlesion Workshop, 149-158, 2017
352017
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
302018
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
272020
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
262020
Deep cross residual network for HEp-2 cell staining pattern classification
L Shen, X Jia, Y Li
Pattern Recognition 82, 68-78, 2018
232018
A deep residual inception network for HEp-2 cell classification
Y Li, L Shen
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
152017
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
122020
Self-loop uncertainty: A novel pseudo-label for semi-supervised medical image segmentation
Y Li, J Chen, X Xie, K Ma, Y Zheng
International Conference on Medical Image Computing and Computer-Assisted …, 2020
112020
Reverse active learning based atrous DenseNet for pathological image classification
Y Li, X Xie, L Shen, S Liu
BMC bioinformatics 20 (1), 1-15, 2019
112019
OctopusNet: A deep learning segmentation network for multi-modal medical images
Y Chen, J Chen, D Wei, Y Li, Y Zheng
International Workshop on Multiscale Multimodal Medical Imaging, 17-25, 2019
112019
HEp-Net: a smaller and better deep-learning network for HEp-2 cell classification
Y Li, L Shen
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019
112019
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
International Conference on Medical Image Computing and Computer-Assisted …, 2020
102020
HEp-2 specimen classification with fully convolutional network
Y Li, L Shen, X Zhou, S Yu
2016 23rd International Conference on Pattern Recognition (ICPR), 96-100, 2016
102016
Three dimensional convolutional neural network-based classification of conduct disorder with structural MRI
J Zhang, X Li, Y Li, M Wang, B Huang, S Yao, L Shen
Brain imaging and behavior 14 (6), 2333-2340, 2020
92020
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