Accurate motion and depth recovery is important for many robot vision ta...
Objectives: to propose a fully-automatic computer-aided diagnosis (CAD)
...
Landmark localization plays an important role in medical image analysis....
Lesion detection serves a critical role in early diagnosis and has been ...
Exploiting available medical records to train high performance computer-...
Despite the empirical success in various domains, it has been revealed t...
Using radiological scans to identify liver tumors is crucial for proper
...
Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming t...
In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant...
Artificial Intelligence (AI) is gradually changing the practice of surge...
3D shape instantiation which reconstructs the 3D shape of a target from
...
Accurate volume segmentation from the Computed Tomography (CT) scan is a...
Normalization layers are essential in a Deep Convolutional Neural Networ...
Shape instantiation which predicts the 3D shape of a dynamic target from...
In robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR), accura...
Deep Convolutional Neural Networks (DCNNs) are showing impressive
perfor...
The current standard of intra-operative navigation during Fenestrated
En...
2D bio-medical semantic segmentation is important for surgical robotic
v...
Intra-operative measurement of tissue oxygen saturation (StO2) has been
...
Pre-operative Abdominal Aortic Aneurysm (AAA) 3D shape is critical for
c...
Real-time 3D navigation during minimally invasive procedures is an essen...
Small object segmentation is a common task in medical image analysis.
Tr...
Robot-assisted deployment of fenestrated stent grafts in Fenestrated
End...