Yixuan Yuan
Yixuan Yuan
Assistant Professor in Chinese University of Hong Kong
Verified email at - Homepage
Cited by
Cited by
Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation
Y Fang, C Chen, Y Yuan, K Tong
International Conference on Medical Image Computing and Computer-Assisted …, 2019
DICCCOL: dense individualized and common connectivity-based cortical landmarks
D Zhu, K Li, L Guo, X Jiang, T Zhang, D Zhang, H Chen, F Deng, C Faraco, ...
Cerebral cortex 23 (4), 786-800, 2013
Deep learning for polyp recognition in wireless capsule endoscopy images
Y Yuan, MQH Meng
Medical Physics 44 (4), 1379-1389, 2017
Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database
I Sirazitdinov, M Kholiavchenko, T Mustafaev, Y Yixuan, R Kuleev, ...
Computers & electrical engineering 78, 388-399, 2019
Bleeding frame and region detection in the wireless capsule endoscopy video
Y Yuan, B Li, MQH Meng
IEEE journal of biomedical and health informatics 20 (2), 624-630, 2015
Saliency based ulcer detection for wireless capsule endoscopy diagnosis
Y Yuan, J Wang, B Li, MQH Meng
IEEE transactions on medical imaging 34 (10), 2046-2057, 2015
Improved bag of feature for automatic polyp detection in wireless capsule endoscopy images
Y Yuan, B Li, MQH Meng
IEEE Transactions on automation science and engineering 13 (2), 529-535, 2015
Axonal fiber terminations concentrate on gyri
J Nie, L Guo, K Li, Y Wang, G Chen, L Li, H Chen, F Deng, X Jiang, ...
Cerebral cortex 22 (12), 2831-2839, 2012
Prostate Cancer Classification with Multi‐parametric MRI Transfer Learning Model
Y Yuan, W Qin, M Buyyounouski, B Ibragimov, S Hancock, B Han, L Xing
Medical Physics 46 (2), 756-765, 2019
Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT
B Ibragimov, D Toesca, D Chang, Y Yuan, A Koong, L Xing
Medical physics 45 (10), 4763-4774, 2018
Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation
W Qin, J Wu, F Han, Y Yuan, W Zhao, B Ibragimov, J Gu, L Xing
Physics in Medicine & Biology 63 (9), 095017, 2018
Ground-aware monocular 3d object detection for autonomous driving
Y Liu, Y Yixuan, M Liu
IEEE Robotics and Automation Letters 6 (2), 919-926, 2021
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
X Guo, C Yang, B Li, Y Yuan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
WCE abnormality detection based on saliency and adaptive locality-constrained linear coding
Y Yuan, B Li, MQH Meng
IEEE Transactions on Automation Science and Engineering 14 (1), 149-159, 2016
Automatic polyp recognition in colonoscopy images using deep learning and two-stage pyramidal feature prediction
X Jia, X Mai, Y Cui, Y Yuan, X Xing, H Seo, L Xing, MQH Meng
IEEE Transactions on Automation Science and Engineering 17 (3), 1570-1584, 2020
Inferring group-wise consistent multimodal brain networks via multi-view spectral clustering
H Chen, K Li, D Zhu, X Jiang, Y Yuan, P Lv, T Zhang, L Guo, D Shen, ...
IEEE transactions on medical imaging 32 (9), 1576-1586, 2013
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results
Y Cao, Z He, L Wang, W Wang, Y Yuan, D Zhang, J Zhang, P Zhu, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Wireless capsule endoscopy: A new tool for cancer screening in the colon with deep-learning-based polyp recognition
X Jia, X Xing, Y Yuan, L Xing, MQH Meng
Proceedings of the IEEE 108 (1), 178-197, 2019
Multi‐subtype classification model for non‐small cell lung cancer based on radiomics: SLS model
J Liu, J Cui, F Liu, Y Yuan, F Guo, G Zhang
Medical physics 46 (7), 3091-3100, 2019
Automatic polyp detection via a novel unified bottom-up and top-down saliency approach
Y Yuan, D Li, MQH Meng
IEEE journal of biomedical and health informatics 22 (4), 1250-1260, 2017
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