research
∙
10/28/2022
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels
Despite the success of convolutional neural networks for 3D medical-imag...
share
research
∙
05/16/2022
The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data
Deep learning advanced to one of the most important technologies in almo...
research
∙
10/29/2021
3D-OOCS: Learning Prostate Segmentation with Inductive Bias
Despite the great success of convolutional neural networks (CNN) in 3D m...
research
∙
10/19/2020
Measuring breathing induced oesophageal motion and its dosimetric impact
Stereotactic body radiation therapy allows for a precise and accurate do...
research
∙
08/07/2020
Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer
Accurate delineation of the intraprostatic gross tumour volume (GTV) is ...
research
∙
07/10/2019