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ORCIDXiaoyun Zhou 0001
Person information
- affiliation: PAII Inc., Bethesda, MD, USA
- affiliation (PhD 2020): Imperial College London, Department of Computing, Hamlyn Centre for Robotic Surgery, London, UK
Other persons with the same name
- Xiao-Yun Zhou (aka: Xiaoyun Zhou) — disambiguation page
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Books and Theses
- 2020
[b1]Xiao-Yun Zhou:
3D shape instantiation for intra-operative navigation from a single 2D projection. Imperial College London, UK, 2020
Journal Articles
- 2023
- [j7]Nanyang Ye
, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu:
An Annealing Mechanism for Adversarial Training Acceleration. IEEE Trans. Neural Networks Learn. Syst. 34(2): 882-893 (2023) - 2019
- [j6]Xiao-Yun Zhou, Guang-Zhong Yang:
Normalization in Training U-Net for 2-D Biomedical Semantic Segmentation. IEEE Robotics Autom. Lett. 4(2): 1792-1799 (2019) - [j5]Jian-Qing Zheng, Xiao-Yun Zhou, Celia V. Riga, Guang-Zhong Yang:
Real-Time 3-D Shape Instantiation for Partially Deployed Stent Segments From a Single 2-D Fluoroscopic Image in Fenestrated Endovascular Aortic Repair. IEEE Robotics Autom. Lett. 4(4): 3703-3710 (2019) - 2018
- [j4]Xiao-Yun Zhou, Guang-Zhong Yang, Su-Lin Lee:
A real-time and registration-free framework for dynamic shape instantiation. Medical Image Anal. 44: 86-97 (2018) - [j3]Xiao-Yun Zhou, Jianyu Lin, Celia V. Riga, Guang-Zhong Yang, Su-Lin Lee:
Real-Time 3-D Shape Instantiation From Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment. IEEE Robotics Autom. Lett. 3(2): 1314-1321 (2018) - 2017
- [j2]Yingjing Feng, Ziyan Guo, Ziyang Dong, Xiao-Yun Zhou, Ka-Wai Kwok, Sabine Ernst, Su-Lin Lee:
An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1199-1207 (2017) - [j1]Yingjing Feng, Ziyan Guo, Ziyang Dong, Xiao-Yun Zhou, Ka-Wai Kwok, Sabine Ernst, Su-Lin Lee:
Erratum to: An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1209 (2017)
Conference and Workshop Papers
- 2022
- [c19]Zhenjie Cao, Xiaoyun Zhou, Yuxing Tang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Asymmetry and Architectural Distortion Detection with Limited Mammography Data. MILLanD@MICCAI 2022: 163-173 - 2021
- [c18]Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu:
Amata: An Annealing Mechanism for Adversarial Training Acceleration. AAAI 2021: 10691-10699 - [c17]Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu:
Adversarial Invariant Learning. CVPR 2021: 12446-12454 - [c16]Ruoxi Wang, Dandan Zhang, Qing-Biao Li, Xiao-Yun Zhou, Benny Lo:
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution. ICRA 2021: 3434-3440 - [c15]Yirui Wang, Kang Zheng, Chi-Tung Cheng, Xiao-Yun Zhou, Zhilin Zheng, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays. IPMI 2021: 599-610 - [c14]Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi:
Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture. IROS 2021: 9475-9481 - [c13]Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. MICCAI (5) 2021: 33-42 - [c12]Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. PRIME@MICCAI 2021: 47-58 - [c11]Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray. PRIME@MICCAI 2021: 138-146 - [c10]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. DGM4MICCAI/DALI@MICCAI 2021: 145-153 - [c9]Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. MLMI@MICCAI 2021: 296-305 - 2020
- [c8]Xiao-Yun Zhou, Jian-Qing Zheng, Peichao Li, Guang-Zhong Yang:
ACNN: a Full Resolution DCNN for Medical Image Segmentation. ICRA 2020: 8455-8461 - [c7]Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang, Guang-Zhong Yang:
Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation. IROS 2020: 2906-2913 - [c6]Zhao-Yang Wang, Xiao-Yun Zhou, Peichao Li, Celia Theodoreli-Riga, Guang-Zhong Yang:
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle. MICCAI (4) 2020: 680-691 - 2019
- [c5]Jian-Qing Zheng, Xiao-Yun Zhou, Celia V. Riga, Guang-Zhong Yang:
Towards 3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair. ICRA 2019: 8747-8753 - [c4]Xiao-Yun Zhou, Zhao-Yang Wang, Peichao Li, Jian-Qing Zheng, Guang-Zhong Yang:
One-Stage Shape Instantiation from a Single 2D Image to 3D Point Cloud. MICCAI (4) 2019: 30-38 - [c3]Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang, Guang-Zhong Yang:
U-Net Training with Instance-Layer Normalization. MMMI@MICCAI 2019: 101-108 - 2018
- [c2]Xiao-Yun Zhou, Celia V. Riga, Su-Lin Lee, Guang-Zhong Yang:
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net. IROS 2018: 1261-1267 - 2016
- [c1]Xiao-Yun Zhou, Sabine Ernst, Su-Lin Lee:
Path planning for robot-enhanced cardiac Radiofrequency Catheter Ablation. ICRA 2016: 4172-4177
Informal and Other Publications
- 2022
- [i25]Yu Chen, Xu Cao, Xiaoyi Lin, Baoru Huang, Xiao-Yun Zhou, Jian-Qing Zheng, Guang-Zhong Yang:
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation. CoRR abs/2208.11993 (2022) - 2021
- [i24]Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data. CoRR abs/2103.12972 (2021) - [i23]Kang Zheng, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images. CoRR abs/2103.13482 (2021) - [i22]Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray. CoRR abs/2104.01734 (2021) - [i21]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph. CoRR abs/2104.14629 (2021) - [i20]Peng Wang, Yuhsuan Wu, Bolin Lai, Xiaoyun Zhou, Le Lu, Wendi Liu, Huabang Zhou, Lingyun Huang, Jing Xiao, Adam P. Harrison, Ningyang Jia, Heping Hu:
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI. CoRR abs/2110.08817 (2021) - 2020
- [i19]Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang:
Artificial Intelligence in Surgery. CoRR abs/2001.00627 (2020) - [i18]Ruoxi Wang, Dandan Zhang, Qing-Biao Li, Xiao-Yun Zhou, Benny Lo:
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution. CoRR abs/2011.04003 (2020) - [i17]Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li:
Batch Group Normalization. CoRR abs/2012.02782 (2020) - [i16]Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. CoRR abs/2012.06964 (2020) - [i15]Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu:
Amata: An Annealing Mechanism for Adversarial Training Acceleration. CoRR abs/2012.08112 (2020) - [i14]Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays. CoRR abs/2012.15359 (2020) - 2019
- [i13]Xiao-Yun Zhou, Jian-Qing Zheng, Guang-Zhong Yang:
Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps. CoRR abs/1901.09203 (2019) - [i12]Jian-Qing Zheng, Xiao-Yun Zhou, Guang-Zhong Yang:
Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair. CoRR abs/1902.11089 (2019) - [i11]Xiao-Yun Zhou, Zhao-Yang Wang, Peichao Li, Jian-Qing Zheng, Guang-Zhong Yang:
One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud. CoRR abs/1907.10763 (2019) - [i10]Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang, Guang-Zhong Yang:
U-Net Training with Instance-Layer Normalization. CoRR abs/1908.08466 (2019) - [i9]Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang, Guang-Zhong Yang:
Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation. CoRR abs/1909.07480 (2019) - [i8]Zhao-Yang Wang, Xiao-Yun Zhou, Peichao Li, Celia V. Riga, Guang-Zhong Yang:
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle. CoRR abs/1909.08986 (2019) - 2018
- [i7]Xiao-Yun Zhou, Guang-Zhong Yang, Su-Lin Lee:
A Real-time and Registration-free Framework for Dynamic Shape Instantiation. CoRR abs/1801.00182 (2018) - [i6]Jian-Qing Zheng, Xiao-Yun Zhou, Qing-Biao Li, Celia V. Riga, Guang-Zhong Yang:
Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects. CoRR abs/1804.02943 (2018) - [i5]Qing-Biao Li, Xiao-Yun Zhou, Jianyu Lin, Jian-Qing Zheng, Neil T. Clancy, Daniel S. Elson:
Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation. CoRR abs/1804.07116 (2018) - [i4]Xiao-Yun Zhou, Guang-Zhong Yang:
Normalization in Training Deep Convolutional Neural Networks for 2D Bio-medical Semantic Segmentation. CoRR abs/1809.03783 (2018) - [i3]Jian-Qing Zheng, Xiao-Yun Zhou, Celia V. Riga, Guang-Zhong Yang:
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair. CoRR abs/1809.05955 (2018) - 2017
- [i2]Xiao-Yun Zhou, Jianyu Lin, Celia V. Riga, Guang-Zhong Yang, Su-Lin Lee:
Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment. CoRR abs/1709.07689 (2017) - [i1]Xiao-Yun Zhou, Mali Shen, Celia V. Riga, Guang-Zhong Yang, Su-Lin Lee:
Focal FCN: Towards Small Object Segmentation with Limited Training Data. CoRR abs/1711.01506 (2017)
Coauthor Index
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