297 citations · 592 across the 17 of their papers we have counts for
4 papers · 1 filter
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou +4
Image registration and in particular deformable registration methods are pillars of medical imaging. Inspired by the recent advances in deep learning, we propose in this paper, a n…
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network
Qingnan Sun, Marko V. Jankovic, Lia Bally +1
A deep learning network was used to predict future blood glucose levels, as this can permit diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia. A seq…
A Multi-Task Learning Approach for Meal Assessment
Ya Lu, Dario Allegra, Marios Anthimopoulos +3
Key role in the prevention of diet-related chronic diseases plays the balanced nutrition together with a proper diet. The conventional dietary assessment methods are time-consuming…
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner +3
Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment decisions, but can be challenging even for experienced radiologists. The diagnosti…