58 citations · 58 across the 3 of their papers we have counts for
3 papers
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
Pooya Ashtari, Diana M. Sima, Lieven De Lathauwer +3
Convolutional Neural Networks (CNNs) with U-shaped architectures have dominated medical image segmentation, which is crucial for various clinical purposes. However, the inherent lo…
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders
Francesco Calimeri, Francesco Cauteruccio, Luca Cinelli +5
Deductive formalisms have been strongly developed in recent years; among them, Answer Set Programming (ASP) gained some momentum, and has been lately fruitfully employed in many re…
Contribution of high energy physics techniques to the medical imaging field
P. -E. Vert, J. Lecoq, G. Montarou +6
The purpose of this study was to show how advanced concepts of compact, lossless and "Time Of Flight" (TOF) capable electronics similar to those foreseen for the LHC and ILC experi…