Francesco Cremonesi

17 papers C 2Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications.
CoRR
Francesco Cremonesi, Lucia Innocenti, Sébastien Ourselin, Vicky Goh, Michela Antonelli, Marco Lorenzi
2024 — conf
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi
2024 J jnl
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications.
CoRR
Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi
2023 — conf
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
PKDD/ECML Workshops (4)
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
2023 J jnl
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
CoRR
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
2023 J jnl
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.
CoRR
Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetitia Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, Marco Lorenzi
2023 J jnl
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models.
CoRR
Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi
2023 J jnl
The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform.
J. Biomed. Informatics
Francesco Cremonesi, Vincent Planat, Varvara Kalokyri, Haridimos Kondylakis, Tiziana Sanavia, Victor Miguel Mateos Resinas, Babita Singh, Silvia Uribe
2020 J jnl
Analytic performance modeling and analysis of detailed neuron simulations.
Int. J. High Perform. Comput. Appl.
Francesco Cremonesi, Georg Hager, Gerhard Wellein, Felix Schürmann
2020 J jnl
Polynomial Evaluation on Superscalar Architecture, Applied to the Elementary Function
ACM Trans. Math. Softw.
Timothée Ewart, Francesco Cremonesi, Felix Schürmann, Fabien Delalondre
2020 J jnl
Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models.
Neuroinformatics
Francesco Cremonesi, Felix Schürmann
2019 J jnl
Analytic Performance Modeling and Analysis of Detailed Neuron Simulations.
CoRR
Francesco Cremonesi, Georg Hager, Gerhard Wellein, Felix Schürmann
2019 — —
Computational characteristics and hardware implications of brain tissue simulations.
Francesco Cremonesi
2017 C conf
Neuromapp: A Mini-application Framework to Improve Neural Simulators.
ISC
Timothée Ewart, Judit Planas, Francesco Cremonesi, Kai Langen, Felix Schürmann, Fabien Delalondre
2015 — conf
Performance evaluation of the IBM POWER8 architecture to support computational neuroscientific application using morphologically detailed neurons.
PMBS@SC
Timothée Ewart, Stuart Yates, Francesco Cremonesi, Pramod S. Kumbhar, Felix Schürmann, Fabien Delalondre
2015 C conf
Semi-automatic three-dimensional vessel segmentation using a connected component localization of the Region-Scalable Fitting Energy.
ISPA
Marco Fedele, Elena Faggiano, Luca Barbarotta, Francesco Cremonesi, Luca Formaggia, Simona Perotto
2015 — conf
Simulating Morphologically Detailed Neuronal Networks at Extreme Scale.
PARCO
Aleksandr Ovcharenko, Pramod S. Kumbhar, Michael L. Hines, Francesco Cremonesi, Timothée Ewart, Stuart Yates, Felix Schürmann, Fabien Delalondre