1 citations · 1 across the 4 of their papers we have counts for
4 papers
Domain Adaptation for Learned Image Compression with Supervised Adapters
Alberto Presta, Gabriele Spadaro, Enzo Tartaglione +2
In Learned Image Compression (LIC), a model is trained at encoding and decoding images sampled from a source domain, often outperforming traditional codecs on natural images; yet i…
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
Guglielmo Gallone, Francesco Iodice, Alberto Presta +16
Aims. To develop a deep-learning based system for recognition of subclinical atherosclerosis on a plain frontal chest x-ray. Methods and Results. A deep-learning algorithm to predi…
Character Recognition in Byzantine Seals with Deep Neural Networks
Théophile Rageau, Laurence Likforman-Sulem, Attilio Fiandrotti +3
Seals are small coin-shaped artifacts, mostly made of lead, held with strings to seal letters. This work presents the first attempt towards automatic reading of text on Byzantine s…
Lung nodules segmentation from CT with DeepHealth toolkit
Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo +7
The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung…