Xiao-Yun Zhou

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Imperial College London

Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph

Landmark localization plays an important role in medical image analysis....
04/29/2021 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data

Lesion detection serves a critical role in early diagnosis and has been ...
03/24/2021 ∙ by Bolin Lai, et al. ∙ 0 ∙ share

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Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays

Exploiting available medical records to train high performance computer-...
12/30/2020 ∙ by Yirui Wang, et al. ∙ 0 ∙ share

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Amata: An Annealing Mechanism for Adversarial Training Acceleration

Despite the empirical success in various domains, it has been revealed t...
12/15/2020 ∙ by Nanyang Ye, et al. ∙ 0 ∙ share

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Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach

Using radiological scans to identify liver tumors is crucial for proper ...
12/13/2020 ∙ by Bolin Lai, et al. ∙ 0 ∙ share

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Batch Group Normalization

Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming t...
12/04/2020 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution

In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant...
11/08/2020 ∙ by Ruoxi Wang, et al. ∙ 14 ∙ share

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Artificial Intelligence in Surgery

Artificial Intelligence (AI) is gradually changing the practice of surge...
12/23/2019 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle

3D shape instantiation which reconstructs the 3D shape of a target from ...
09/16/2019 ∙ by Zhao-Yang Wang, et al. ∙ 0 ∙ share

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Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation

Accurate volume segmentation from the Computed Tomography (CT) scan is a...
09/16/2019 ∙ by Peichao Li, et al. ∙ 0 ∙ share

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U-Net Training with Instance-Layer Normalization

Normalization layers are essential in a Deep Convolutional Neural Networ...
08/21/2019 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud

Shape instantiation which predicts the 3D shape of a dynamic target from...
07/24/2019 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair

In robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR), accura...
02/28/2019 ∙ by Jian-Qing Zheng, et al. ∙ 0 ∙ share

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Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps

Deep Convolutional Neural Networks (DCNNs) are showing impressive perfor...
01/26/2019 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair

The current standard of intra-operative navigation during Fenestrated En...
09/16/2018 ∙ by Jian-Qing Zheng, et al. ∙ 0 ∙ share

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Normalization in Training Deep Convolutional Neural Networks for 2D Bio-medical Semantic Segmentation

2D bio-medical semantic segmentation is important for surgical robotic v...
09/11/2018 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation

Intra-operative measurement of tissue oxygen saturation (StO2) has been ...
04/19/2018 ∙ by Qing-Biao Li, et al. ∙ 0 ∙ share

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Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects

Pre-operative Abdominal Aortic Aneurysm (AAA) 3D shape is critical for c...
04/09/2018 ∙ by Jian-Qing Zheng, et al. ∙ 0 ∙ share

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A Real-time and Registration-free Framework for Dynamic Shape Instantiation

Real-time 3D navigation during minimally invasive procedures is an essen...
12/30/2017 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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Focal FCN: Towards Small Object Segmentation with Limited Training Data

Small object segmentation is a common task in medical image analysis. Tr...
11/04/2017 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment

Robot-assisted deployment of fenestrated stent grafts in Fenestrated End...
09/22/2017 ∙ by Xiao-Yun Zhou, et al. ∙ 0 ∙ share

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Xiao-Yun Zhou

Featured Co-authors

Peng Wang

Jing Xiao

Le Lu

Yuankai Huo

Zhenguo Li

Guang-Zhong Yang

Zhanxing Zhu

Adam P. Harrison

Jinzheng Cai

Yao Guo

Yong Xia

Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach

Batch Group Normalization

Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution

Artificial Intelligence in Surgery

Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle

Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation

U-Net Training with Instance-Layer Normalization

One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud

Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair

Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps

3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair

Normalization in Training Deep Convolutional Neural Networks for 2D Bio-medical Semantic Segmentation

Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation

Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects

A Real-time and Registration-free Framework for Dynamic Shape Instantiation

Focal FCN: Towards Small Object Segmentation with Limited Training Data

Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment