Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 40th cycle (2024-2027)
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
PhD
Research topic
Development of Reduced Order Models (ROMs) and Deep Learning (DL) techniques to reduce computational cost in Computational Fluid Dynamics (CFD).
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Research interests
Biography
Publications
Latest publications View all publications in Porto@Iris
- Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; ... (2024)
Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks. In: DIAGNOSTICS, vol. 14. ISSN 2075-4418
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