Riccardo Renzulli

32 papers B 1Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Prediction of Paravalvular Regurgitation before Transcatheter Aortic Valve Implantation. CoRR 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
2026	J	`jnl`	Capsule networks do not need to model everything. Pattern Recognit. Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2026	J	`jnl`	Cardiac Output Prediction from Echocardiograms: Self-Supervised Learning with Limited Data. CoRR 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
2026	J	`jnl`	Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation. CoRR Giorgio Chiesa, Rossella Borra, Vittorio Lauro, Sabrina De Cillis, Daniele Amparore, Cristian Fiori, Riccardo Renzulli, Marco Grangetto
2026	J	`jnl`	TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones. Neurocomputing Gabriele Spadaro, Andrea Bragagnolo, Riccardo Renzulli, Marco Grangetto, Jhony H. Giraldo, Attilio Fiandrotti, Enzo Tartaglione
2026	J	`jnl`	Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models. Pattern Recognit. Lett. Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João Neves
2025	J	`jnl`	GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression. CoRR Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Akihiro Sugimoto, Enzo Tartaglione
2025	J	`jnl`	MedSAE: Dissecting MedCLIP Representations with Sparse Autoencoders. CoRR Riccardo Renzulli, Colas Lepoutre, Enrico Cassano, Marco Grangetto
2025	J	`jnl`	SAEmnesia: Erasing Concepts in Diffusion Models with Sparse Autoencoders. CoRR Enrico Cassano, Riccardo Renzulli, Marco Nurisso, Mirko Zaffaroni, Alan Perotti, Marco Grangetto
2025	—	`conf`	When Does Pruning Benefit Vision Representations? ICIAP (2) Enrico Cassano, Riccardo Renzulli, Andrea Bragagnolo, Marco Grangetto
2025	J	`jnl`	When Does Pruning Benefit Vision Representations? CoRR Enrico Cassano, Riccardo Renzulli, Andrea Bragagnolo, Marco Grangetto
2024	J	`jnl`	AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation. CoRR Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto
2024	—	`conf`	AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation. ISBI Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto
2024	—	`conf`	Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. ECCV (83) Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2024	J	`jnl`	Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. CoRR Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2024	J	`jnl`	Hierarchical Object-Centric Learning with Capsule Networks. CoRR Riccardo Renzulli
2024	J	`jnl`	Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. CoRR Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves
2023	—	`conf`	Artificial intelligence methods for biomedical imaging and omics data. Ital-IA Carlo Alberto Barbano, Marco Beccuti, Francesca Cordero, Desislav Nikolaev Ivanov, Nicola Licheri, Simone Pernice, Alberto Presta, Riccardo Renzulli, Marco Grangetto
2023	J	`jnl`	LSVL: Large-scale season-invariant visual localization for UAVs. Robotics Auton. Syst. Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki
2023	J	`jnl`	Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. Frontiers Neuroinformatics Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui
2023	—	`conf`	Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. ICCV (Workshops) Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione
2023	—	`conf`	Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble. ICIAP (2) Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2022	J	`jnl`	LSVL: Large-scale season-invariant visual localization for UAVs. CoRR Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki
2022	—	`conf`	Lung Nodules Segmentation with DeepHealth Toolkit. ICIAP Workshops (1) Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino
2022	J	`jnl`	Lung nodules segmentation from CT with DeepHealth toolkit. CoRR Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino
2022	J	`jnl`	REM: Routing Entropy Minimization for Capsule Networks. CoRR Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2022	B	`conf`	Towards Efficient Capsule Networks. ICIP Riccardo Renzulli, Marco Grangetto
2022	J	`jnl`	Towards Efficient Capsule Networks. CoRR Riccardo Renzulli, Marco Grangetto
2022	—	`conf`	UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. ICIAP (1) Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Attilio Fiandrotti, Marco Grangetto, Paolo Fonio
2021	—	`conf`	Capsule Networks with Routing Annealing. ICANN (1) Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2017	—	`conf`	An Efficient Reasoner for Description Logics of Typicality and Rational Closure. Description Logics Laura Giordano, Valentina Gliozzi, Gian Luca Pozzato, Riccardo Renzulli
2017	—	`conf`	RAT-OWL: Reasoning with Rational Closure in Description Logics of Typicality. ICTCS/CILC Laura Giordano, Valentina Gliozzi, Gian Luca Pozzato, Riccardo Renzulli