Deep neural networks are commonly used for automated medical image
segme...
Intensity modulated radiotherapy (IMRT) is one of the most common modali...
Adaptive radiotherapy is a growing field of study in cancer treatment du...
Automated medical image segmentation using deep neural networks typicall...
Imperfect labels limit the quality of predictions learned by deep neural...
Ultrasound (US) speckles are granular patterns which can impede image
po...
In many cases, especially with medical images, it is prohibitively
chall...
Colorectal liver metastasis is one of most aggressive liver malignancies...
In this work, we report the set-up and results of the Liver Tumor
Segmen...
Breast cancer is the most diagnosed cancer and the most predominant caus...
Ultrasound (US) can be used to assess brain development in newborns, as ...
Anterior Vertebral Body Growth Modulation (AVBGM) is a minimally invasiv...
We propose a model for the joint segmentation of the liver and liver les...
It is well known that it is challenging to train deep neural networks an...
We introduce a novel approach for predicting the progression of adolesce...
In this paper, we study the influence of both long and short skip connec...
In this paper we propose a deep learning approach for segmenting sub-cor...
The early detection, diagnosis and monitoring of liver cancer progressio...