Open international challenges are becoming the de facto standard for
ass...
Detailed pulmonary airway segmentation is a clinically important task fo...
Accurate motion and depth recovery is important for many robot vision ta...
Machine learning models fail to perform well on real-world applications ...
Human-robot shared control, which integrates the advantages of both huma...
Interventional magnetic resonance imaging (i-MRI) for surgical guidance ...
Recent evolution in deep learning has proven its value for CT-based lung...
Accurate estimation of three-dimensional human skeletons from depth imag...
In this report, the technical details of our submission to the EPIC-Kitc...
Electrospinning has exhibited excellent benefits to treat the trauma for...
Training convolutional neural networks (CNNs) for segmentation of pulmon...
Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming t...
Automated airway segmentation is a prerequisite for pre-operative diagno...
Accurate real-time catheter segmentation is an important pre-requisite f...
Accurate force sensing is important for endoluminal intervention in term...
Accurate kinematic models are essential for effective control of surgica...
Accurate kinematic models are essential for effective control of surgica...
Learning from Demonstration is increasingly used for transferring operat...
Segmentation of brain tumors and their subregions remains a challenging ...
With increasing global age and disability assistive robots are becoming ...
Training for telerobotic systems often makes heavy use of simulated
plat...
The compliant nature of soft wearable robots makes them ideal for comple...
With the increasing awareness of high-quality life, there is a growing n...
Artificial Intelligence (AI) is gradually changing the practice of surge...
Soft wearable robots are a promising new design paradigm for rehabilitat...
3D shape instantiation which reconstructs the 3D shape of a target from
...
Accurate volume segmentation from the Computed Tomography (CT) scan is a...
High-resolution real-time imaging at cellular levelin retinal surgeries ...
Machine learning and data analysis have been used in many robotics field...
Normalization layers are essential in a Deep Convolutional Neural Networ...
Shape instantiation which predicts the 3D shape of a dynamic target from...
Airway segmentation on CT scans is critical for pulmonary disease diagno...
Gait adaptation is an important part of gait analysis and its neuronal o...
In robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR), accura...
Deep Convolutional Neural Networks (DCNNs) are showing impressive
perfor...
Chromosome classification is critical for karyotyping in abnormality
dia...
The current standard of intra-operative navigation during Fenestrated
En...
2D bio-medical semantic segmentation is important for surgical robotic
v...
Purpose: Advancements in MRI Tissue Phase Velocity Mapping (TPM) allow f...
Objective: Probe-based confocal endomicroscopy is an emerging
high-magni...
Pre-operative Abdominal Aortic Aneurysm (AAA) 3D shape is critical for
c...
The recent successes of AI have captured the wildest imagination of both...
This paper presents a versatile robotic system for sewing 3D structured
...
Real-time 3D navigation during minimally invasive procedures is an essen...
This paper presents a multi-robot system for manufacturing personalized
...
In robotic surgery, task automation and learning from demonstration comb...
Small object segmentation is a common task in medical image analysis.
Tr...
Robot-assisted deployment of fenestrated stent grafts in Fenestrated
End...
Robotic surgery has become a powerful tool for performing minimally inva...