Dynamics of a chiral swimmer sedimenting on a flat plate F Fadda, JJ Molina, R Yamamoto Physical Review E 101, 052608, 2020 | 26 | 2020 |
Lattice Boltzmann study of chemically-driven self-propelled droplets F Fadda, G Gonnella, A Lamura, A Tiribocchi The European Physical Journal E 40, 1-12, 2017 | 16 | 2017 |
A CT-based transfer learning approach to predict NSCLC recurrence: The added-value of peritumoral region S Bove, A Fanizzi, F Fadda, MC Comes, A Catino, A Cirillo, C Cristofaro, ... Plos one 18 (5), e0285188, 2023 | 7 | 2023 |
The interplay between chemo-phoretic interactions and crowding in active colloids F Fadda, DA Matoz-Fernandez, R van Roij, S Jabbari-Farouji Soft Matter 19, 2297-2310, 2023 | 6 | 2023 |
Switching dynamics in cholesteric liquid crystal emulsions F Fadda, G Gonnella, D Marenduzzo, E Orlandini, A Tiribocchi The Journal of Chemical Physics 147 (6), 064903, 2017 | 6 | 2017 |
Lattice Boltzmann Modeling of Cholesteric Liquid Crystal Droplets Under an Oscillatory Electric Field F Fadda, A Lamura, A Tiribocchi Commun. Comput. Phys. 3 (1), 118-143, 2023 | 2 | 2023 |
Rheology of an Inverted Cholesteric Droplet under Shear Flow F Fadda, G Gonnella, A Lamura, E Orlandini, A Tiribocchi Fluids 3 (3), 47, 2018 | 2 | 2018 |
Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence A Fanizzi, F Fadda, MC Comes, S Bove, A Catino, E Di Benedetto, ... Scientific Reports 13 (1), 20605, 2023 | 1 | 2023 |
Dynamical steady-states of active colloids interacting via chemical fields F Fadda, DA Matoz-Fernandez, R van Roij, S Jabbari-Farouji arXiv preprint arXiv:2203.05213, 2022 | 1 | 2022 |
Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy MC Comes, A Fanizzi, S Bove, V Didonna, S Diotiaiuti, F Fadda, ... Computers in Biology and Medicine 172, 108132, 2024 | | 2024 |
“AI4MP MACHINE LEARNING CHALLENGE”: A MULTICENTRIC COLLECTIVE EXPERIENCE OF DATA SCIENCE FOR “BIG DATA AND ARTIFICIAL INTELLIGENCE” AIFM WORKING GROUP M Maddalo, R Massafra, L Lorenzon, A Giuliano, E Loi, G Belmonte, ... Physica Medica 115, 102768, 2023 | | 2023 |
Prognostic power assessment of clinical parameters to predict neoadjuvant response therapy in HER2‐positive breast cancer patients: A machine learning approach A Fanizzi, A Latorre, DA Bavaro, S Bove, MC Comes, EF Di Benedetto, ... Cancer Medicine 12 (22), 20663-20669, 2023 | | 2023 |
Clustering dynamics of chemotactic particles F Fadda, DA Matoz-Fernandez, R van Roij, S Jabbari-Farouji APS March Meeting Abstracts 2022, Y26. 013, 2022 | | 2022 |
Sedimenting chiral swimmers RY Federico Fadda, John Jairo Molina Bulletin of the American Physical Society 2021 (P24.00004), 2021 | | 2021 |
Impact of wall constraint on the dynamics of self-propelled particles R Yamamoto, F Fadda, JJ Molina Bulletin of the American Physical Society 65, 2020 | | 2020 |
DNS of squirmers (spherical microswimmers) with rotlet R Yamamoto, F Fadda, J Molina APS March Meeting Abstracts 2019, A48. 006, 2019 | | 2019 |
Modelling and study of complex fluids and liquid crystal droplets F Fadda Universita' degli Studi di Bari "Aldo Moro", Dipartimento Interateneo di …, 2018 | | 2018 |
Hydrodynamics of sedimenting squirmers with rotlet dipole F Fadda, JJ Molina, R Yamamoto | | |