178 citations · 887 across the 50 of their papers we have counts for
15 papers · 1 filter
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation
Xiao Gu, Jianxin Yang, Hanxiao Zhang +5
Accurate estimation of three-dimensional human skeletons from depth images can provide important metrics for healthcare applications, especially for biomechanical gait analysis. Ho…
TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021
Xiao Gu, Jianing Qiu, Yao Guo +2
In this report, the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2021 are given. We developed a hierarchical attention model for action an…
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…
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks
Yulei Qin, Juan Wen, Hao Zheng +6
Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classifica…
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…
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…
Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning
Yang Hu, Yun Gu, Jie Yang +1
In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms. One such task is aut…
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…
Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery
Menglong Ye, Edward Johns, Ankur Handa +3
Robotic surgery has become a powerful tool for performing minimally invasive procedures, providing advantages in dexterity, precision, and 3D vision, over traditional surgery. One…
4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation
Yun Gu, Guang-Zhong Yang, Jie Yang +1
Echocardiography plays an important part in diagnostic aid in cardiac diseases. A critical step in echocardiography-aided diagnosis is to extract the standard planes since they ten…
Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy
Menglong Ye, Edward Johns, Benjamin Walter +2
For early diagnosis of malignancies in the gastrointestinal tract, surveillance endoscopy is increasingly used to monitor abnormal tissue changes in serial examinations of the same…
Real-time 3D Tracking of Articulated Tools for Robotic Surgery
Menglong Ye, Lin Zhang, Stamatia Giannarou +1
In robotic surgery, tool tracking is important for providing safe tool-tissue interaction and facilitating surgical skills assessment. Despite recent advances in tool tracking, exi…