2 citations · 4 across the 6 of their papers we have counts for
6 papers
Now You See Me, Now You Don't: A Unified Framework for Expression Consistent Anonymization in Talking Head Videos
Anil Egin, Andrea Tangherloni, Antitza Dantcheva
Face video anonymization is aimed at privacy preservation while allowing for the analysis of videos in a number of computer vision downstream tasks such as expression recognition,…
EvoGrad: Metaheuristics in a Differentiable Wonderland
Beatrice F. R. Citterio, Andrea Tangherloni
Differentiable programming has revolutionised optimisation by enabling efficient gradient-based training of complex models, such as Deep Neural Networks (NNs) with billions and tri…
Salp Swarm Optimization: a Critical Review
Mauro Castelli, Luca Manzoni, Luca Mariot +2
In the crowded environment of bio-inspired population-based metaheuristics, the Salp Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of momentum.…
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Leonardo Rundo, Changhee Han, Yudai Nagano +12
Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, th…
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
Leonardo Rundo, Changhee Han, Jin Zhang +10
Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric Magnetic Resonance Imaging (MRI), wh…
GenHap: A Novel Computational Method Based on Genetic Algorithms for Haplotype Assembly
Andrea Tangherloni, Simone Spolaor, Leonardo Rundo +6
The computational problem of inferring the full haplotype of a cell starting from read sequencing data is known as haplotype assembly, and consists in assigning all heterozygous Si…