Riccardo Renzulli

According to our database, Riccardo Renzulli authored at least 28 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models.

Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João Neves

Pattern Recognit. Lett., 2026

Capsule networks do not need to model everything.

Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto

Pattern Recognit., 2026

TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones.

Gabriele Spadaro, Andrea Bragagnolo, Riccardo Renzulli, Marco Grangetto, Jhony H. Giraldo, Attilio Fiandrotti, Enzo Tartaglione

Neurocomputing, 2026

Cardiac Output Prediction From Echocardiograms: Self-Supervised Learning with Limited Data.

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

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation.

Giorgio Chiesa, Rossella Borra, Vittorio Lauro, Sabrina De Cillis, Daniele Amparore, Cristian Fiori, Riccardo Renzulli, Marco Grangetto

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Automated Prediction of Paravalvular Regurgitation Before Transcatheter Aortic Valve Implantation.

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

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

MedSAE: Dissecting MedCLIP Representations with Sparse Autoencoders.

Riccardo Renzulli, Colas Lepoutre, Enrico Cassano, Marco Grangetto

CoRR, October, 2025

SAEmnesia: Erasing Concepts in Diffusion Models with Sparse Autoencoders.

Enrico Cassano, Riccardo Renzulli, Marco Nurisso, Mirko Zaffaroni, Alan Perotti, Marco Grangetto

CoRR, September, 2025

GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression.

Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Akihiro Sugimoto, Enzo Tartaglione

CoRR, January, 2025

When Does Pruning Benefit Vision Representations?

Enrico Cassano, Riccardo Renzulli, Andrea Bragagnolo, Marco Grangetto

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

2024

Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models.

Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves

CoRR, 2024

Hierarchical Object-Centric Learning with Capsule Networks.

Riccardo Renzulli

CoRR, 2024

AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation.

Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering.

Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

LSVL: Large-scale season-invariant visual localization for UAVs.

Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki

Robotics Auton. Syst., October, 2023

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke.

Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui

Frontiers Neuroinformatics, March, 2023

Artificial intelligence methods for biomedical imaging and omics data.

Carlo Alberto Barbano, Marco Beccuti, Francesca Cordero, Desislav Nikolaev Ivanov, Nicola Licheri, Simone Pernice, Alberto Presta, Riccardo Renzulli, Marco Grangetto

Proceedings of the Italia Intelligenza Artificiale, 2023

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

Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

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, Marco Grangetto, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Lung nodules segmentation from CT with DeepHealth toolkit.

Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino

CoRR, 2022

REM: Routing Entropy Minimization for Capsule Networks.

Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto

CoRR, 2022

Towards Efficient Capsule Networks.

Riccardo Renzulli, Marco Grangetto

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans.

Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Attilio Fiandrotti, Marco Grangetto, Paolo Fonio

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Lung Nodules Segmentation with DeepHealth Toolkit.

Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021

UniToChest.

Daniele Perlo, Riccardo Renzulli, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Marco Grangetto, Paolo Fonio

Dataset, December, 2021

Capsule Networks with Routing Annealing.

Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2017

RAT-OWL: Reasoning with Rational Closure in Description Logics of Typicality.

Laura Giordano, Valentina Gliozzi, Gian Luca Pozzato, Riccardo Renzulli

Proceedings of the Joint Proceedings of the 18th Italian Conference on Theoretical Computer Science and the 32nd Italian Conference on Computational Logic co-located with the 2017 IEEE International Workshop on Measurements and Networking (2017 IEEE M&N), 2017

An Efficient Reasoner for Description Logics of Typicality and Rational Closure.

Laura Giordano, Valentina Gliozzi, Gian Luca Pozzato, Riccardo Renzulli

Proceedings of the 30th International Workshop on Description Logics, 2017