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ORCIDRiccardo Renzulli
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2020 – today
- 2026
[j5]Gabriele Spadaro
, Andrea Bragagnolo, Riccardo Renzulli, Marco Grangetto, Jhony H. Giraldo, Attilio Fiandrotti, Enzo Tartaglione:
TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones. Neurocomputing 668: 132209 (2026)- [j4]Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto:
Capsule networks do not need to model everything. Pattern Recognit. 171: 112119 (2026) - [j3]Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João Neves:
Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models. Pattern Recognit. Lett. 199: 82-89 (2026) - [c15]Michele Cannito, Riccardo Renzulli, Adson Duarte, Farzad Nikfam, Carlo Alberto Barbano, Enrico Chiesa, Francesco Bruno, Federico Giacobbe, Wojciech Wanha, Arturo Giordano, Marco Grangetto, Fabrizio D'Ascenzo:
Automated Prediction of Paravalvular Regurgitation Before Transcatheter Aortic Valve Implantation. ISBI 2026: 1-4 - [c14]Giorgio Chiesa, Rossella Borra, Vittorio Lauro, Sabrina De Cillis, Daniele Amparore, Cristian Fiori, Riccardo Renzulli, Marco Grangetto:
Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation. ISBI 2026: 1-4 - [c13]Adson Duarte, Davide Vitturini, Emanuele Milillo, Andrea Bragagnolo, Carlo Alberto Barbano, Riccardo Renzulli, Michele Cannito, Federico Giacobbe, Francesco Bruno, Ovidio De Filippo, Fabrizio D'Ascenzo, Marco Grangetto:
Cardiac Output Prediction From Echocardiograms: Self-Supervised Learning with Limited Data. ISBI 2026: 1-4 - [i16]Michele Cannito, Riccardo Renzulli, Adson Duarte, Farzad Nikfam, Carlo Alberto Barbano, Enrico Chiesa, Francesco Bruno, Federico Giacobbe, Wojciech Wanha, Arturo Giordano, Marco Grangetto, Fabrizio D'Ascenzo:
Automated Prediction of Paravalvular Regurgitation before Transcatheter Aortic Valve Implantation. CoRR abs/2602.13842 (2026) - [i15]Giorgio Chiesa, Rossella Borra, Vittorio Lauro, Sabrina De Cillis, Daniele Amparore, Cristian Fiori, Riccardo Renzulli, Marco Grangetto:
Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation. CoRR abs/2602.13844 (2026) - [i14]Adson Duarte, Davide Vitturini, Emanuele Milillo, Andrea Bragagnolo, Carlo Alberto Barbano, Riccardo Renzulli, Michele Cannito, Federico Giacobbe, Francesco Bruno, Ovidio De Filippo, Fabrizio D'Ascenzo, Marco Grangetto:
Cardiac Output Prediction from Echocardiograms: Self-Supervised Learning with Limited Data. CoRR abs/2602.13846 (2026) - [i13]Enrico Cassano, Riccardo Renzulli, Rayyan Ahmed, Marco Grangetto, Stephan Alaniz:
Look But Don't Touch with Sparse Autoencoders for Unlearning in Diffusion Models. CoRR abs/2606.31699 (2026) - 2025
- [c12]Enrico Cassano, Riccardo Renzulli, Andrea Bragagnolo, Marco Grangetto:
When Does Pruning Benefit Vision Representations? ICIAP (2) 2025: 152-163 - [i12]Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Akihiro Sugimoto, Enzo Tartaglione:
GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression. CoRR abs/2501.13558 (2025) - [i11]Enrico Cassano, Riccardo Renzulli, Andrea Bragagnolo, Marco Grangetto:
When Does Pruning Benefit Vision Representations? CoRR abs/2507.01722 (2025) - [i10]Enrico Cassano, Riccardo Renzulli, Marco Nurisso, Mirko Zaffaroni, Alan Perotti, Marco Grangetto:
SAEmnesia: Erasing Concepts in Diffusion Models with Sparse Autoencoders. CoRR abs/2509.21379 (2025) - [i9]Riccardo Renzulli, Colas Lepoutre, Enrico Cassano, Marco Grangetto:
MedSAE: Dissecting MedCLIP Representations with Sparse Autoencoders. CoRR abs/2510.26411 (2025) - 2024
- [c11]Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto:
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. ECCV (83) 2024: 176-192 - [c10]Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto:
AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation. ISBI 2024: 1-4 - [i8]Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto:
AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation. CoRR abs/2405.11598 (2024) - [i7]Riccardo Renzulli:
Hierarchical Object-Centric Learning with Capsule Networks. CoRR abs/2405.19861 (2024) - [i6]Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves:
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. CoRR abs/2406.00772 (2024) - [i5]Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto:
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. CoRR abs/2407.10389 (2024) - 2023
- [j2]Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui:
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. Frontiers Neuroinformatics 17 (2023) - [j1]Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki:
LSVL: Large-scale season-invariant visual localization for UAVs. Robotics Auton. Syst. 168: 104497 (2023) - [c9]Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione:
Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. ICCV (Workshops) 2023: 1510-1514 - [c8]Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto:
Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble. ICIAP (2) 2023: 320-331 - [c7]Carlo Alberto Barbano, Marco Beccuti, Francesca Cordero, Desislav Nikolaev Ivanov, Nicola Licheri, Simone Pernice, Alberto Presta, Riccardo Renzulli, Marco Grangetto:
Artificial intelligence methods for biomedical imaging and omics data. Ital-IA 2023: 154-159 - 2022
- [c6]Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Attilio Fiandrotti, Marco Grangetto, Paolo Fonio:
UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. ICIAP (1) 2022: 185-196 - [c5]Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino:
Lung Nodules Segmentation with DeepHealth Toolkit. ICIAP Workshops (1) 2022: 487-497 - [c4]Riccardo Renzulli, Marco Grangetto:
Towards Efficient Capsule Networks. ICIP 2022: 2801-2805 - [i4]Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto:
REM: Routing Entropy Minimization for Capsule Networks. CoRR abs/2204.01298 (2022) - [i3]Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino:
Lung nodules segmentation from CT with DeepHealth toolkit. CoRR abs/2208.00641 (2022) - [i2]Riccardo Renzulli, Marco Grangetto:
Towards Efficient Capsule Networks. CoRR abs/2208.09203 (2022) - [i1]Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki:
LSVL: Large-scale season-invariant visual localization for UAVs. CoRR abs/2212.03581 (2022) - 2021
- [c3]Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
Capsule Networks with Routing Annealing. ICANN (1) 2021: 529-540 - [d1]Daniele Perlo, Riccardo Renzulli, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Marco Grangetto, Paolo Fonio:
UniToChest. Zenodo, 2021
2010 – 2019
- 2017
- [c2]Laura Giordano, Valentina Gliozzi, Gian Luca Pozzato, Riccardo Renzulli:
An Efficient Reasoner for Description Logics of Typicality and Rational Closure. Description Logics 2017 - [c1]Laura Giordano, Valentina Gliozzi, Gian Luca Pozzato, Riccardo Renzulli:
RAT-OWL: Reasoning with Rational Closure in Description Logics of Typicality. ICTCS/CILC 2017: 306-320
Coauthor Index
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last updated on 2026-07-12 23:54 CEST by the dblp team
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