Sfoglia per Autore
High capacity reversible data hiding in radiographic images with optimal bit allocation
2024-01-01 Cavagnino D.; Druetto A.; Grangetto M.; Lucenteforte M.
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
2024-01-01 Guglielmo Gallone; Francesco Iodice; Alberto Presta; Davide Tore; Ovidio de Filippo; Michele Visciano; Carlo Alberto Barbano; Alessandro Serafini; Paola Gorrini; Alessandro Bruno; Walter Grosso Marra; James Hughes; Mario Iannaccone; Paolo Fonio; Attilio Fiandrotti; Alessandro Depaoli; Marco Grangetto; Gaetano Maria de Ferrari; Fabrizio D'Ascenzo
Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging
2023-01-01 Barbano C.A.; Duchesnay E.; Dufumier B.; Gori P.; Grangetto M.
Artificial intelligence methods for biomedical imaging and omics data
2023-01-01 Barbano C.A.; Beccuti M.; Cordero F.; Ivanov D.N.; Licheri N.; Pernice S.; Presta A.; Renzulli R.; Grangetto M.
Unbiased Supervised Contrastive Learning
2023-01-01 Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
A round-trip journey in pruned artificial neural networks
2023-01-01 Bragagnolo A.; Tartaglione E.; Dalmasso G.; Grangetto M.
Disentangling private classes through regularization
2023-01-01 Tartaglione E.; Gennari F.; Quetu V.; Grangetto M.
A Differentiable Entropy Model for Learned Image Compression
2023-01-01 Presta A.; Fiandrotti A.; Tartaglione E.; Grangetto M.
A computer vision approach for the automatic detection of social interactions of dairy cows in automatic milking systems
2023-01-01 Laura Ozella, Alessandro Magliola, Simone Vernengo, Marco Ghigo, Francesco Bartoli, Marco Grangetto, Claudio Forte, Gianluca Montrucchio, Karina Brotto Rebuli, Mario Giacobini
Contrastive Learning for Regression in Multi-Site Brain Age Prediction
2023-01-01 Barbano, Carlo Alberto; Dufumier, Benoit; Duchesnay, Edouard; Grangetto, Marco; Gori, Pietro
Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble
2023-01-01 Di Sario F.; Renzulli R.; Tartaglione E.; Grangetto M.
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke
2023-01-01 Gava, Umberto A; D'Agata, Federico; Tartaglione, Enzo; Renzulli, Riccardo; Grangetto, Marco; Bertolino, Francesca; Santonocito, Ambra; Bennink, Edwin; Vaudano, Giacomo; Boghi, Andrea; Bergui, Mauro
A computer vision approach for the automatic detection of social interactions and space-usage of dairy cows
2022-01-01 Laura Ozella, Simone Vernengo, Marco Grangetto, Elisabetta Stipa, Karina Brotto Rebuli, Gianluca Montrucchio, Mario Giacobini
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images
2022-01-01 Barbano Carlo Alberto Maria; Tartaglione E.; Berzovini C.; Calandri M.; Grangetto M.
To update or not to update? Neurons at equilibrium in deep models
2022-01-01 Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
Towards Efficient Capsule Networks
2022-01-01 Renzulli, Riccardo; Grangetto, Marco
Deep Regression by Feature Regularization for COVID-19 Severity Prediction
2022-01-01 Tricarico D.; Chaudhry H.A.H.; Fiandrotti A.; Grangetto M.
Applications of AI and HPC in the Health Domain
2022-01-01 Oniga D.; Cantalupo B.; Tartaglione E.; Perlo D.; Grangetto M.; Aldinucci M.; Bolelli F.; Pollastri F.; Cancilla M.; Canalini L.; Grana C.; Alcalde C.M.; Cardillo F.A.; Florea M.
UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans
2022-01-01 Chaudhry H.A.H.; Renzulli R.; Perlo D.; Santinelli F.; Tibaldi S.; Cristiano Carmen; Grosso M.; Limerutti G.; Fiandrotti A.; Grangetto M.; Fonio P.
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
2022-01-01 Aldinucci, Marco; Atienza, David; Bolelli, Federico; Caballero, Mónica; Colonnelli, Iacopo; Flich, José; Gómez, Jon A.; González, David; Grana, Costantino; Grangetto, Marco; Leo, Simone; López, Pedro; Oniga, Dana; Paredes, Roberto; Pireddu, Luca; Quiñones, Eduardo; Silva, Tatiana; Tartaglione, Enzo; Zapater, Marina
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| High capacity reversible data hiding in radiographic images with optimal bit allocation | 2024 | Cavagnino D.; Druetto A.; Grangetto M.; Lucenteforte M. | |
| Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray | 2024 | Guglielmo Gallone; Francesco Iodice; Alberto Presta; Davide Tore; Ovidio de Filippo; Michele Visciano; Carlo Alberto Barbano; Alessandro Serafini; Paola Gorrini; Alessandro Bruno; Walter Grosso Marra; James Hughes; Mario Iannaccone; Paolo Fonio; Attilio Fiandrotti; Alessandro Depaoli; Marco Grangetto; Gaetano Maria de Ferrari; Fabrizio D'Ascenzo | |
| Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging | 2023 | Barbano C.A.; Duchesnay E.; Dufumier B.; Gori P.; Grangetto M. | |
| Artificial intelligence methods for biomedical imaging and omics data | 2023 | Barbano C.A.; Beccuti M.; Cordero F.; Ivanov D.N.; Licheri N.; Pernice S.; Presta A.; Renzulli R.; Grangetto M. | |
| Unbiased Supervised Contrastive Learning | 2023 | Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori | |
| A round-trip journey in pruned artificial neural networks | 2023 | Bragagnolo A.; Tartaglione E.; Dalmasso G.; Grangetto M. | |
| Disentangling private classes through regularization | 2023 | Tartaglione E.; Gennari F.; Quetu V.; Grangetto M. | |
| A Differentiable Entropy Model for Learned Image Compression | 2023 | Presta A.; Fiandrotti A.; Tartaglione E.; Grangetto M. | |
| A computer vision approach for the automatic detection of social interactions of dairy cows in automatic milking systems | 2023 | Laura Ozella, Alessandro Magliola, Simone Vernengo, Marco Ghigo, Francesco Bartoli, Marco Grangetto, Claudio Forte, Gianluca Montrucchio, Karina Brotto Rebuli, Mario Giacobini | |
| Contrastive Learning for Regression in Multi-Site Brain Age Prediction | 2023 | Barbano, Carlo Alberto; Dufumier, Benoit; Duchesnay, Edouard; Grangetto, Marco; Gori, Pietro | |
| Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble | 2023 | Di Sario F.; Renzulli R.; Tartaglione E.; Grangetto M. | |
| Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke | 2023 | Gava, Umberto A; D'Agata, Federico; Tartaglione, Enzo; Renzulli, Riccardo; Grangetto, Marco; Bertolino, Francesca; Santonocito, Ambra; Bennink, Edwin; Vaudano, Giacomo; Boghi, Andrea; Bergui, Mauro | |
| A computer vision approach for the automatic detection of social interactions and space-usage of dairy cows | 2022 | Laura Ozella, Simone Vernengo, Marco Grangetto, Elisabetta Stipa, Karina Brotto Rebuli, Gianluca Montrucchio, Mario Giacobini | |
| A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images | 2022 | Barbano Carlo Alberto Maria; Tartaglione E.; Berzovini C.; Calandri M.; Grangetto M. | |
| To update or not to update? Neurons at equilibrium in deep models | 2022 | Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto | |
| Towards Efficient Capsule Networks | 2022 | Renzulli, Riccardo; Grangetto, Marco | |
| Deep Regression by Feature Regularization for COVID-19 Severity Prediction | 2022 | Tricarico D.; Chaudhry H.A.H.; Fiandrotti A.; Grangetto M. | |
| Applications of AI and HPC in the Health Domain | 2022 | Oniga D.; Cantalupo B.; Tartaglione E.; Perlo D.; Grangetto M.; Aldinucci M.; Bolelli F.; Pollastri F.; Cancilla M.; Canalini L.; Grana C.; Alcalde C.M.; Cardillo F.A.; Florea M. | |
| UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans | 2022 | Chaudhry H.A.H.; Renzulli R.; Perlo D.; Santinelli F.; Tibaldi S.; Cristiano Carmen; Grosso M.; Limerutti G.; Fiandrotti A.; Grangetto M.; Fonio P. | |
| 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 | 2022 | Aldinucci, Marco; Atienza, David; Bolelli, Federico; Caballero, Mónica; Colonnelli, Iacopo; Flich, José; Gómez, Jon A.; González, David; Grana, Costantino; Grangetto, Marco; Leo, Simone; López, Pedro; Oniga, Dana; Paredes, Roberto; Pireddu, Luca; Quiñones, Eduardo; Silva, Tatiana; Tartaglione, Enzo; Zapater, Marina |
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