178 citations · 887 across the 50 of their papers we have counts for
50 papers
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
H. Fabelo, S. Ortega, A. Szolna +25
The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral alg…
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
H. Fabelo, S. Ortega, D. Ravi +19
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the n…
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…
Robotic Electrospinning Actuated by Non-Circular Joint Continuum Manipulator for Endoluminal Therapy
Zicong Wu, Chuqian Lou, Zhu Jin +6
Electrospinning has exhibited excellent benefits to treat the trauma for tissue engineering due to its produced micro/nano fibrous structure. It can effectively adhere to the tissu…
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping
Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez +4
Myocardial Velocity Mapping Cardiac MR (MVM-CMR) can be used to measure global and regional myocardial velocities with proved reproducibility. Accurate left ventricle delineation i…
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…
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Yulei Qin, Hao Zheng, Yun Gu +6
Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imb…
End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention
Anh Nguyen, Dennis Kundrat, Giulio Dagnino +7
Accurate real-time catheter segmentation is an important pre-requisite for robot-assisted endovascular intervention. Most of the existing learning-based methods for catheter segmen…
Hybrid Data-Driven and Analytical Model for Kinematic Control of a Surgical Robotic Tool
Francesco Cursi, Anh Nguyen, Guang-Zhong Yang
Accurate kinematic models are essential for effective control of surgical robots. For tendon driven robots, which is common for minimally invasive surgery, intrinsic nonlinearities…
Constrained-Space Optimization and Reinforcement Learning for Complex Tasks
Ya-Yen Tsai, Bo Xiao, Edward Johns +1
Learning from Demonstration is increasingly used for transferring operator manipulation skills to robots. In practice, it is important to cater for limited data and imperfect human…
A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare
Ziyang Wang
With the increasing awareness of high-quality life, there is a growing need for health monitoring devices running robust algorithms in home environment. Health monitoring technolog…
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
Hanxiao Zhang, Jingxiong Li, Mali Shen +2
Segmentation of brain tumors and their subregions remains a challenging task due to their weak features and deformable shapes. In this paper, three patterns (cross-skip, skip-1 and…
MIndGrasp: A New Training and Testing Framework for Motor Imagery Based 3-Dimensional Assistive Robotic Control
Daniel Freer, Guang-Zhong Yang
With increasing global age and disability assistive robots are becoming more necessary, and brain computer interfaces (BCI) are often proposed as a solution to understanding the in…
Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation
Rejin John Varghese, Anh Nguyen, Etienne Burdet +2
The compliant nature of soft wearable robots makes them ideal for complex multiple degrees of freedom (DoF) joints, but also introduce additional structural nonlinearities. Intuiti…
On-Orbit Operations Simulator for Workload Measurement during Telerobotic Training
Daniel Freer, Yao Guo, Fani Deligianni +1
Training for telerobotic systems often makes heavy use of simulated platforms, which ensure safe operation during the learning process. Outer space is one domain in which such a si…
Deep Learning in Medical Ultrasound Image Segmentation: a Review
Ziyang Wang
Applying machine learning technologies, especially deep learning, into medical image segmentation is being widely studied because of its state-of-the-art performance and results. I…
Expertise and Task Pressure in fNIRS-based brain Connectomes
F. Deligianni, H. Singh, H. N. Modi +5
Acquisition of bimanual motor skills, critical in several applications ranging from robotic teleoperations to surgery, is associated with a protracted learning curve. Brain connect…
Design and Prototyping of a Bio-inspired Kinematic Sensing Suit for the Shoulder Joint: Precursor to a Multi-DoF Shoulder Exosuit
Rejin John Varghese, Benny P L Lo, Guang-Zhong Yang
Soft wearable robots are a promising new design paradigm for rehabilitation and active assistance applications. Their compliant nature makes them ideal for complex joints like the…
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…
Hybrid Robot-assisted Frameworks for Endomicroscopy Scanning in Retinal Surgeries
Zhaoshuo Li, Mahya Shahbazi, Niravkumar Patel +9
High-resolution real-time intraocular imaging of retina at the cellular level is very challenging due to the vulnerable and confined space within the eyeball as well as the limited…
A Robust Regression Approach for Robot Model Learning
Francesco Cursi, Guang-Zhong Yang
Machine learning and data analysis have been used in many robotics fields, especially for modelling. Data are usually the result of sensor measurements and, as such, they might be…
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…