Xiaoyun Zhou
Orcid: 0000-0001-7886-8596Affiliations:
- PAII Inc., Bethesda, MD, USA
- Imperial College London, Department of Computing, Hamlyn Centre for Robotic Surgery, London, UK (PhD 2020)
According to our database1,
Xiaoyun Zhou
authored at least 42 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
2022
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation.
CoRR, 2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
2021
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI.
CoRR, 2021
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays.
Proceedings of the Information Processing in Medical Imaging, 2021
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
PhD thesis, 2020
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays.
CoRR, 2020
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
IEEE Robotics Autom. Lett., 2019
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., 2019
Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair.
CoRR, 2019
Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019
Towards 3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair.
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Real-Time 3-D Shape Instantiation From Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment.
IEEE Robotics Autom. Lett., 2018
Medical Image Anal., 2018
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair.
CoRR, 2018
Normalization in Training Deep Convolutional Neural Networks for 2D Bio-medical Semantic Segmentation.
CoRR, 2018
Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation.
CoRR, 2018
CoRR, 2018
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment.
CoRR, 2017
Erratum to: An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning.
Int. J. Comput. Assist. Radiol. Surg., 2017
An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning.
Int. J. Comput. Assist. Radiol. Surg., 2017
2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016