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Federico Fadda
Federico Fadda
University of Bari, Kyoto University, Amsterdam University, IRCCS Istituto Tumori Giovanni Paolo II
No hi ha cap correu electrònic verificat
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Citada per
Citada per
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Dynamics of a chiral swimmer sedimenting on a flat plate
F Fadda, JJ Molina, R Yamamoto
Physical Review E 101, 052608, 2020
242020
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
162017
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
62017
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
42023
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
32023
Rheology of an Inverted Cholesteric Droplet under Shear Flow
F Fadda, G Gonnella, A Lamura, E Orlandini, A Tiribocchi
Fluids 3 (3), 47, 2018
22018
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
12023
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
12022
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, 108132, 2024
2024
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
2023
“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
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
Articles 1–18