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 | 16 | 2020 |
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 | 15 | 2024 |
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 | 14 | 2015 |
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 | 12 | 2018 |
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 | 11 | 2023 |
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 | 9 | 2023 |
Understanding computational costs of cellular-level brain tissue simulations through analytical performance models F Cremonesi, F Schürmann Neuroinformatics 18 (3), 407-428, 2020 | 9 | 2020 |
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 | 9 | 2016 |
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 | 8 | 2015 |
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 | 6 | 2017 |
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 | 4 | 2020 |
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 | 3 | 2023 |
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 | 2 | 2018 |
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 | 2 | 2016 |
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 | 1 | 2023 |
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 | 1 | 2022 |
Telling neuronal apples from oranges: analytical performance modeling of neural tissue simulations F Cremonesi, F Schürmann arXiv preprint arXiv:1906.02757, 2019 | 1 | 2019 |
Computational characteristics and hardware implications of brain tissue simulations F Cremonesi EPFL, 2019 | 1 | 2019 |
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 |