Marco Grangetto

About Marco Grangetto

Marco Grangetto, With an exceptional h-index of 31 and a recent h-index of 18 (since 2020), a distinguished researcher at Università degli Studi di Torino, specializes in the field of Media coding and communications, wireless networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge

Domain Adaptation for Learned Image Compression with Supervised Adapters

High capacity reversible data hiding in radiographic images with optimal bit allocation

Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray

Artificial intelligence methods for biomedical imaging and omics data

" Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding-Based Peer-to-Peer Live Streaming," published in

" Characterization of Band Codes for Pollution-Resilient Peer-to-Peer Video

Disentangling private classes through regularization

Marco Grangetto Information

University

Position

Full Professor

Citations(all)

3969

Citations(since 2020)

1278

Cited By

3167

hIndex(all)

31

hIndex(since 2020)

18

i10Index(all)

94

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Marco Grangetto Skills & Research Interests

Media coding and communications

wireless networks

Top articles of Marco Grangetto

Title

Journal

Author(s)

Publication Date

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge

Sensors

Fares Bougourzi

Cosimo Distante

Fadi Dornaika

Abdelmalik Taleb-Ahmed

Abdenour Hadid

...

2024/2/28

Domain Adaptation for Learned Image Compression with Supervised Adapters

arXiv preprint arXiv:2404.15591

Alberto Presta

Gabriele Spadaro

Enzo Tartaglione

Attilio Fiandrotti

Marco Grangetto

2024/4/24

High capacity reversible data hiding in radiographic images with optimal bit allocation

Multimedia Tools and Applications

Davide Cavagnino

Alessandro Druetto

Marco Grangetto

Maurizio Lucenteforte

2024/2/28

Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray

arXiv preprint arXiv:2403.18756

Guglielmo Gallone

Francesco Iodice

Alberto Presta

Davide Tore

Ovidio de Filippo

...

2024/3/27

Artificial intelligence methods for biomedical imaging and omics data

CEUR WORKSHOP PROCEEDINGS

Carlo Alberto Barbano

Marco Beccuti

Francesca Cordero

Desislav Nikolaev Ivanov

Nicola Licheri

...

2023

" Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding-Based Peer-to-Peer Live Streaming," published in

Attilio Fiandrotti

Rossano Gaeta

Marco Grangetto

2023/2/17

" Characterization of Band Codes for Pollution-Resilient Peer-to-Peer Video

Attilio Fiandrotti

Rossano Gaeta

Marco Grangetto

2023/7/18

Disentangling private classes through regularization

Neurocomputing

Enzo Tartaglione

Francesca Gennari

Victor Quétu

Marco Grangetto

2023/10/14

A computer vision approach for the automatic detection of social interactions of dairy cows in automatic milking systems

Laura Ozella

Alessandro Magliola

Vernengo Simone

Marco Ghigo

Bartoli Francesco

...

2023

" Exploiting Rateless Codes in Cloud Storage Systems," published in

Cosimo Anglano

Rossano Gaeta

Marco Grangetto

2023/1/6

High Capacity Reversible Data Hiding with Optimal Bit Allocation

Available at SSRN 4409547

Davide Cavagnino

Alessandro Druetto

Marco Grangetto

Maurizio Lucenteforte

2023/6/20

Shannon strikes again! entropy-based pruning in deep neural networks for transfer learning under extreme memory and computation budgets

Gabriele Spadaro

Riccardo Renzulli

Andrea Bragagnolo

Jhony H Giraldo

Attilio Fiandrotti

...

2023

Contrastive learning for regression in multi-site brain age prediction

Carlo Alberto Barbano

Benoit Dufumier

Edouard Duchesnay

Marco Grangetto

Pietro Gori

2023/4/18

A Differentiable Entropy Model for Learned Image Compression

Alberto Presta

Attilio Fiandrotti

Enzo Tartaglione

Marco Grangetto

2023/9/5

A round-trip journey in pruned artificial neural networks

CEUR WORKSHOP PROCEEDINGS

Andrea Bragagnolo

Enzo Tartaglione

Gianluca Dalmasso

Marco Grangetto

2023

in P2P live streaming. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. 10 (3) pp: 1-20.

R Gaeta

M Grangetto

L Bovio DIP

2023/4/8

Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble

Francesco Di Sario

Riccardo Renzulli

Enzo Tartaglione

Marco Grangetto

2023/9/5

Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging

CEUR WORKSHOP PROCEEDINGS

Carlo Alberto Barbano

Edouard Duchesnay

Benoit Dufumier

Pietro Gori

Marco Grangetto

2023

Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke

Frontiers in Neuroinformatics

Umberto A Gava

Federico D’Agata

Enzo Tartaglione

Riccardo Renzulli

Marco Grangetto

...

2023/3/9

The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures

Marco Aldinucci

David Atienza

Federico Bolelli

Mónica Caballero

Iacopo Colonnelli

...

2022/4/29

See List of Professors in Marco Grangetto University(Università degli Studi di Torino)

Co-Authors

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