BARDOZZO, FRANCESCO

BARDOZZO, FRANCESCO  

Dipartimento di Scienze Aziendali - Management & Innovation Systems/DISA-MIS  

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Titolo Data di pubblicazione Autore(i) File
A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection 1-gen-2020 Ciaparrone, G.; Bardozzo, F.; Delli Priscoli, M.; Londono Kallewaard, J.; Zuluaga, M. R.; Tagliaferri, R.
A study on multi-omic oscillations in Escherichia coli metabolic networks 1-gen-2018 Bardozzo, Francesco; Lió, Pietro; Tagliaferri, Roberto
An automated pipeline integrating AlphaFold 2 and MODELLER for protein structure prediction 1-gen-2023 Gil Zuluaga, Fabio Hernan; D'Arminio, Nancy; Bardozzo, Francesco; Tagliaferri, Roberto; Marabotti, Anna
Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network 1-gen-2021 GIL ZULUAGA, FABIO HERNAN; Bardozzo, Francesco; Rios Patino, Jorge I.; Tagliaferri, Roberto
Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in Relation to Depth Estimation 1-gen-2022 Bardozzo, F.; Delli Priscoli, M.; Collins, T.; Forgione, A.; Hostettler, A.; Tagliaferri, R.
Deep learning assisted Fourier Ptychography for cells and tissue analysis 1-gen-2023 Bianco, V.; Valentino, M.; Behal, J.; Pirone, D.; Bardozzo, F.; Memmolo, P.; Miccio, L.; Tagliaferri, R.; Ferraro, P.
Deep learning-based, misalignment resilient, real-time Fourier Ptychographic Microscopy reconstruction of biological tissue slides 1-gen-2022 Bianco, V.; Delli Priscoli, M.; Pirone, D.; Zanfardino, G.; Memmolo, P.; Bardozzo, F.; Miccio, L.; Ciaparrone, G.; Ferraro, P.; Tagliaferri, R.
Elegans-AI: How the connectome of a living organism could model artificial neural networks 1-gen-2024 Bardozzo, Francesco; Terlizzi, Andrea; Simoncini, Claudio; Lió, Pietro; Tagliaferri, Roberto
Gated Local Adaptive Binarization using Supervised Learning 1-gen-2021 Fumanal-Idocin, J.; Uriarte, J.; de la Osa, B.; Bardozzo, F.; Fernandez, J.; Bustince, H.
Label-free cell classification in holographic flow cytometry through an unbiased learning strategy 1-gen-2024 Ciaparrone, G.; Pirone, D.; Fiore, P.; Xin, L.; Xiao, W.; Li, X.; Bardozzo, F.; Bianco, V.; Miccio, L.; Pan, F.; Memmolo, P.; Tagliaferri, R.; Ferraro, P.
Machine Learning as a Support for the Diagnosis of Type 2 Diabetes 1-gen-2023 Agliata, A.; Giordano, D.; Bardozzo, F.; Bottiglieri, S.; Facchiano, A.; Tagliaferri, R.
Motor strength classification with machine learning approaches applied to anatomical neuroimages 1-gen-2020 Bardozzo, F.; Uribe, S. C.; Russo, A. G.; Castano, M. J.; Delli Priscoli, M.; Esposito, F.; Tagliaferri, R.
Multi omic oscillations in bacterial pathways 1-gen-2015 Bardozzo, Francesco; Lió, Pietro; Tagliaferri, Roberto
Neural networks for fatigue crack propagation predictions in real-time under uncertainty 1-gen-2023 Giannella, V; Bardozzo, F; Postiglione, A; Tagliaferri, R; Sepe, R; Armentani, E
Neuroblastoma cells classification through learning approaches by direct analysis of digital holograms 1-gen-2021 Delli Priscoli, M.; Memmolo, P.; Ciaparrone, G.; Bianco, V.; Merola, F.; Miccio, L.; Bardozzo, F.; Pirone, D.; Mugnano, M.; Cimmino, F.; Capasso, M.; Ferraro, P.; Tagliaferri, R.
Raw holograms based machine learning for cancer cells classification in microfluidics 1-gen-2021 Priscoli, Mattia Delli; Memmolo, Pasquale; Ciaparrone, Gioele; Bianco, Vittorio; Merola, Francesco; Miccio, Lisa; Bardozzo, Francesco; Pirone, Daniele; Mugnano, Martina; Cimmino, Flora; Capasso, Mario; Iolascon, Achile; Ferraro, Pietro; Tagliaferri, Roberto
Real-time FPM reconstruction and misalignment correction by numerical Multi-Look and GAN 1-gen-2022 Bianco, V.; Delli Priscoli, M.; Valentino, M.; Pirone, D.; Behal, J.; Zanfardino, G.; Memmolo, P.; Bardozzo, F.; Miccio, L.; Ciaparrone, G.; Tagliaferri, R.; Ferraro, P.
Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks 1-gen-2021 Bardozzo, F.; Lio, P.; Tagliaferri, R.
Soft Brain Ageing Indicators Based on Light-Weight LeNet-Like Neural Networks and Localized 2D Brain Age Biomarkers 1-gen-2022 Bardozzo, F.; Delli Priscoli, M.; Russo, A. G.; Crescenzi, D.; Di Benedetto, U.; Esposito, F.; Tagliaferri, R.
StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy 1-gen-2022 Bardozzo, F.; Collins, T.; Forgione, A.; Hostettler, A.; Tagliaferri, R.