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Yixuan Yuan
Yixuan Yuan
Assistant Professor in Chinese University of Hong Kong
Verified email at cuhk.edu.hk - Homepage
Title
Cited by
Cited by
Year
Selective feature aggregation network with area-boundary constraints for polyp segmentation
Y Fang, C Chen, Y Yuan, K Tong
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
2962019
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
2042019
Deep learning for polyp recognition in wireless capsule endoscopy images
Y Yuan, MQH Meng
Medical Physics 44 (4), 1379-1389, 2017
1952017
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
1702013
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
1672015
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
1412015
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
1392021
SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection
W Li, X Liu, Y Yuan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1312022
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
1302018
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
1302015
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
1272019
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
1262012
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
X Liu, H Peng, N Zheng, Y Yang, H Hu, Y Yuan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1242023
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
1242021
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
1072018
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
1052021
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
952020
Clip-driven universal model for organ segmentation and tumor detection
J Liu, Y Zhang, JN Chen, J Xiao, Y Lu, B A Landman, Y Yuan, A Yuille, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
852023
Prompt engineering for healthcare: Methodologies and applications
J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang, Y Kang, J Wu, H Hu, ...
arXiv preprint arXiv:2304.14670, 2023
752023
Review of large vision models and visual prompt engineering
J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai, Q Yang, Y Liu, S Zhang, ...
Meta-Radiology, 100047, 2023
722023
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