Automated segmentation of the blood vessels in 3D volumes is an essentia...
Age prediction is an important part of medical assessments and research....
Training Artificial Intelligence (AI) models on three-dimensional image ...
Automated diagnosis prediction from medical images is a valuable resourc...
Artificial intelligence (AI) models are increasingly used in the medical...
Artificial Intelligence (AI) has become commonplace to solve routine eve...
The prediction of pancreatic ductal adenocarcinoma therapy response is a...
The increasing prevalence of large-scale data collection in modern socie...
Quantifying COVID-19 infection over time is an important task to manage ...
Consistent segmentation of COVID-19 patient's CT scans across multiple t...
During the first wave of COVID-19, hospitals were overwhelmed with the h...
We show that differentially private stochastic gradient descent (DP-SGD)...
In recent years, formal methods of privacy protection such as differenti...
Collaborative machine learning techniques such as federated learning (FL...
Chest computed tomography (CT) has played an essential diagnostic role i...
The utilisation of artificial intelligence in medicine and healthcare ha...
For artificial intelligence-based image analysis methods to reach clinic...
In this work, we report the set-up and results of the Liver Tumor
Segmen...
The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for e...
Automatic segmentation of the liver and hepatic lesions is an important ...