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Francesco Cremonesi
Francesco Cremonesi
R&D Engineer, INRIA
Adresse e-mail validée de inria.fr - Page d'accueil
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Analytic performance modeling and analysis of detailed neuron simulations
F Cremonesi, G Hager, G Wellein, F Schürmann
International Journal of High Performance Computing Applications, 2020
162020
Performance evaluation of the IBM POWER8 architecture to support computational neuroscientific application using morphologically detailed neurons
T Ewart, S Yates, F Cremonesi, P Kumbhar, F Schürmann, F Delalondre
Proceedings of the 6th International Workshop on Performance Modeling …, 2015
142015
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
JL Golob, TT Oskotsky, AS Tang, A Roldan, V Chung, CWY Ha, RJ Wong, ...
Cell Reports Medicine 5 (1), 2024
112024
Anisotropic adaptive stabilized finite element solver for RANS models
J Sari, F Cremonesi, M Khalloufi, F Cauneau, P Meliga, Y Mesri, ...
International Journal for Numerical Methods in Fluids 86 (11), 717-736, 2018
112018
The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform
F Cremonesi, V Planat, V Kalokyri, H Kondylakis, T Sanavia, ...
Journal of Biomedical Informatics 141, 104338, 2023
92023
Simulating morphologically detailed neuronal networks at extreme scale
A Ovcharenko, P Kumbhar, M Hines, F Cremonesi, T Ewart, S Yates, ...
Parallel Computing: On the Road to Exascale, 787-796, 2016
92016
Understanding computational costs of cellular-level brain tissue simulations through analytical performance models
F Cremonesi, F Schürmann
Neuroinformatics 18 (3), 407-428, 2020
82020
Semi-automatic three-dimensional vessel segmentation using a connected component localization of the region-scalable fitting energy
M Fedele, E Faggiano, L Barbarotta, F Cremonesi, L Formaggia, S Perotto
2015 9th international symposium on image and signal processing and analysis …, 2015
82015
Fed-BioMed: open, transparent and trusted federated learning for real-world healthcare applications
F Cremonesi, M Vesin, S Cansiz, Y Bouillard, I Balelli, L Innocenti, S Silva, ...
arXiv preprint arXiv:2304.12012, 2023
62023
Polynomial Evaluation on Superscalar Architecture, Applied to the Elementary Function ex
T Ewart, F Cremonesi, F Schürmann, F Delalondre
ACM Transactions on Mathematical Software (TOMS) 46 (3), 1-22, 2020
42020
Neuromapp: a mini-application framework to improve neural simulators
T Ewart, J Planas, F Cremonesi, K Langen, F Schürmann, F Delalondre
High Performance Computing: 32nd International Conference, ISC High …, 2017
42017
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models
I Balelli, A Sportisse, F Cremonesi, PA Mattei, M Lorenzi
arXiv preprint arXiv:2304.08054, 2023
22023
Applying the execution-cache-memory model: current state of practice
G Hager, J Eitzinger, J Hornich, F Cremonesi, CL Alappat, T Röhl, ...
Proceedings of ACM (SC18), Dallas, Texus USA, 2018
22018
Error analysis and quantification in NEURON simulations
F Casalegno, F Cremonesi, S Yates, ML Hines, F Schürmann, ...
Proceedings of the VII European Congress on Computational Methods in Applied …, 2016
22016
S265: Radiomics and artificial intelligence for identification and monitoring of silent cerebral infarcts in sickle cell disease: first analysis from the GenoMed4All European …
MP Boaro, R Biondi, N Biondini, AC Gimbert, EF JM, V Pinto, N Romano, ...
HemaSphere 6, 166-167, 2022
12022
Telling neuronal apples from oranges: analytical performance modeling of neural tissue simulations
F Cremonesi, F Schürmann
arXiv preprint arXiv:1906.02757, 2019
12019
Computational characteristics and hardware implications of brain tissue simulations
F Cremonesi
EPFL, 2019
12019
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation
L Innocenti, M Antonelli, F Cremonesi, K Sarhan, A Granados, V Goh, ...
arXiv preprint arXiv:2309.17097, 2023
2023
O-02: RADIOMICS AND ARTIFICIAL INTELLIGENCE FOR IDENTIFICATION AND MONITORING OF SILENT CEREBRAL INFARCTS IN SICKLE CELL DISEASE: FIRST ANALYSIS FROM THE GENOMED4ALL EUROPEAN …
R Biondi, M Boaro, N Biondini, V PINTO, N ROMANO, V VOI, ...
HemaSphere 6, 01-02, 2022
2022
Federated machine learning for collaborative AI in healthcare
M Önen, F Cremonesi, M Lorenzi
Revue internationale de droit economique, 95-113, 2022
2022
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