8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CV2026★ 1 cited
Learn&Drop: Fast Learning of CNNs based on Layer Dropping
Giorgio Cruciata, Luca Cruciata, Liliana Lo Presti +2
This paper proposes a new method to improve the training efficiency of deep convolutional neural networks. During training, the method evaluates scores to measure how much each lay…
eess.IV2023★ 8 cited
IODeep: an IOD for the introduction of deep learning in the DICOM standard
Salvatore Contino, Luca Cruciata, Orazio Gambino +1
Background and Objective: In recent years, Artificial Intelligence (AI) and in particular Deep Neural Networks (DNN) became a relevant research topic in biomedical image segmentati…