BARDOZZO, FRANCESCO
BARDOZZO, FRANCESCO
Dipartimento di Scienze Aziendali - Management & Innovation Systems/DISA-MIS
A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection
2020-01-01 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
2018-01-01 Bardozzo, Francesco; Lió, Pietro; Tagliaferri, Roberto
An automated pipeline integrating AlphaFold 2 and MODELLER for protein structure prediction
2023-01-01 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
2021-01-01 GIL ZULUAGA, FABIO HERNAN; Bardozzo, Francesco; Rios Patino, Jorge I.; Tagliaferri, Roberto
Consensus of algorithms for lesion segmentation in brain MRI studies of multiple sclerosis
2024-01-01 De Rosa, A. P.; Benedetto, M.; Tagliaferri, S.; Bardozzo, F.; D'Ambrosio, A.; Bisecco, A.; Gallo, A.; Cirillo, M.; Tagliaferri, R.; Esposito, F.
Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in Relation to Depth Estimation
2022-01-01 Bardozzo, F.; Delli Priscoli, M.; Collins, T.; Forgione, A.; Hostettler, A.; Tagliaferri, R.
Deep learning assisted Fourier Ptychography for cells and tissue analysis
2023-01-01 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
2022-01-01 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
2024-01-01 Bardozzo, Francesco; Terlizzi, Andrea; Simoncini, Claudio; Lió, Pietro; Tagliaferri, Roberto
Enhanced tissue slide imaging in the complex domain via cross-explainable GAN for Fourier ptychographic microscopy
2024-01-01 Bardozzo, F.; Fiore, P.; Valentino, M.; Bianco, V.; Memmolo, P.; Miccio, L.; Brancato, V.; Smaldone, G.; Gambacorta, M.; Salvatore, M.; Ferraro, P.; Tagliaferri, R.
Gated Local Adaptive Binarization using Supervised Learning
2021-01-01 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
2024-01-01 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
2023-01-01 Agliata, A.; Giordano, D.; Bardozzo, F.; Bottiglieri, S.; Facchiano, A.; Tagliaferri, R.
Motor strength classification with machine learning approaches applied to anatomical neuroimages
2020-01-01 Bardozzo, F.; Uribe, S. C.; Russo, A. G.; Castano, M. J.; Delli Priscoli, M.; Esposito, F.; Tagliaferri, R.
Multi omic oscillations in bacterial pathways
2015-01-01 Bardozzo, Francesco; Lió, Pietro; Tagliaferri, Roberto
Neural networks for fatigue crack propagation predictions in real-time under uncertainty
2023-01-01 Giannella, V; Bardozzo, F; Postiglione, A; Tagliaferri, R; Sepe, R; Armentani, E
Neuroblastoma cells classification through learning approaches by direct analysis of digital holograms
2021-01-01 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
2021-01-01 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
2022-01-01 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
2021-01-01 Bardozzo, F.; Lio, P.; Tagliaferri, R.
| 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 | |
| Consensus of algorithms for lesion segmentation in brain MRI studies of multiple sclerosis | 1-gen-2024 | De Rosa, A. P.; Benedetto, M.; Tagliaferri, S.; Bardozzo, F.; D'Ambrosio, A.; Bisecco, A.; Gallo, A.; Cirillo, M.; Tagliaferri, R.; Esposito, F. | |
| 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 | |
| Enhanced tissue slide imaging in the complex domain via cross-explainable GAN for Fourier ptychographic microscopy | 1-gen-2024 | Bardozzo, F.; Fiore, P.; Valentino, M.; Bianco, V.; Memmolo, P.; Miccio, L.; Brancato, V.; Smaldone, G.; Gambacorta, M.; Salvatore, M.; Ferraro, P.; Tagliaferri, R. | |
| 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. |