23 citations · 123 across the 20 of their papers we have counts for
20 papers
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation
Yu Chen, Xu Cao, Xiaoyi Lin +4
Accurate motion and depth recovery is important for many robot vision tasks including autonomous driving. Most previous studies have achieved cooperative multi-task interaction via…
VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images
Xu Cao, Zijie Chen, Bolin Lai +8
Venipucture is a common step in clinical scenarios, and is with highly practical value to be automated with robotics. Nowadays, only a few on-shelf robotic systems are developed, h…
VeniBot: Towards Autonomous Venipuncture with Semi-supervised Vein Segmentation from Ultrasound Images
Yu Chen, Yuxuan Wang, Bolin Lai +7
In the modern medical care, venipuncture is an indispensable procedure for both diagnosis and treatment. In this paper, unlike existing solutions that fully or partially rely on pr…
Batch Group Normalization
Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye +6
Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming to train. Normalization is one of the effective solutions. Among previous normalization methods, Batch Normal…
Amata: An Annealing Mechanism for Adversarial Training Acceleration
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou +1
Despite the empirical success in various domains, it has been revealed that deep neural networks are vulnerable to maliciously perturbed input data that much degrade their performa…
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution
Ruoxi Wang, Dandan Zhang, Qingbiao Li +2
In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant is normally required to control the position and zooming ratio of the laparoscope, following the surgeon's…
Artificial Intelligence in Surgery
Xiao-Yun Zhou, Yao Guo, Mali Shen +1
Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation and robotic intervention. In this arti…
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
Zhao-Yang Wang, Xiao-Yun Zhou, Peichao Li +2
3D shape instantiation which reconstructs the 3D shape of a target from limited 2D images or projections is an emerging technique for surgical intervention. It improves the current…
Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation
Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang +1
Accurate volume segmentation from the Computed Tomography (CT) scan is a common prerequisite for pre-operative planning, intra-operative guidance and quantitative assessment of the…
U-Net Training with Instance-Layer Normalization
Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang +1
Normalization layers are essential in a Deep Convolutional Neural Network (DCNN). Various normalization methods have been proposed. The statistics used to normalize the feature map…
One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
Xiao-Yun Zhou, Zhao-Yang Wang, Peichao Li +2
Shape instantiation which predicts the 3D shape of a dynamic target from one or more 2D images is important for real-time intra-operative navigation. Previously, a general shape in…
Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair
Jian-Qing Zheng, Xiao-Yun Zhou, Guang-Zhong Yang
In robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR), accurate alignment of stent graft fenestrations or scallops with aortic branches is essential for establishing com…
ACNN: a Full Resolution DCNN for Medical Image Segmentation
Xiao-Yun Zhou, Jian-Qing Zheng, Peichao Li +1
Deep Convolutional Neural Networks (DCNNs) are used extensively in medical image segmentation and hence 3D navigation for robot-assisted Minimally Invasive Surgeries (MISs). Howeve…
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair
Jian-Qing Zheng, Xiao-Yun Zhou, Celia Riga +1
The current standard of intra-operative navigation during Fenestrated Endovascular Aortic Repair (FEVAR) calls for need of 3D alignments between inserted devices and aortic branche…
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
Xiao-Yun Zhou, Guang-Zhong Yang
2D biomedical semantic segmentation is important for robotic vision in surgery. Segmentation methods based on Deep Convolutional Neural Network (DCNN) can out-perform conventional…
Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation
Qing-Biao Li, Xiao-Yun Zhou, Jianyu Lin +3
Intra-operative measurement of tissue oxygen saturation (StO2) has been widely explored by pulse oximetry or hyperspectral imaging (HSI) to assess the function and viability of tis…
Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects
Jian-Qing Zheng, Xiao-Yun Zhou, Qing-Biao Li +2
Pre-operative Abdominal Aortic Aneurysm (AAA) 3D shape is critical for customized stent-graft design in Fenestrated Endovascular Aortic Repair (FEVAR). Traditional segmentation app…
A Real-time and Registration-free Framework for Dynamic Shape Instantiation
Xiao-Yun Zhou, Guang-Zhong Yang, Su-Lin Lee
Real-time 3D navigation during minimally invasive procedures is an essential yet challenging task, especially when considerable tissue motion is involved. To balance image acquisit…
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net
Xiao-Yun Zhou Celia Riga, Su-Lin Lee, Guang-Zhong Yang
Robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR) is currently navigated by 2D fluoroscopy which is insufficiently informative. Previously, a semi-automatic 3D shape in…
Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment
Xiao-Yun Zhou, Jianyu Lin, Celia Riga +2
Robot-assisted deployment of fenestrated stent grafts in Fenestrated Endovascular Aortic Repair (FEVAR) requires accurate geometrical alignment. Currently, this process is guided b…