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
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
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-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.
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.
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
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.
Soft Brain Ageing Indicators Based on Light-Weight LeNet-Like Neural Networks and Localized 2D Brain Age Biomarkers
2022-01-01 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
2022-01-01 Bardozzo, F.; Collins, T.; Forgione, A.; Hostettler, A.; Tagliaferri, R.
Sugeno integral generalization applied to improve adaptive image binarization
2021-01-01 Bardozzo, F.; De La Osa, B.; Horanska, L.; Fumanal-Idocin, J.; Delli Priscoli, M.; Troiano, L.; Tagliaferri, R.; Fernandez, J.; Bustince, H.
We can make it better – improving the performances of AI-based predictors of protein structures
2022-01-01 D'Arminio, N; GIL ZULUAGA, FABIO HERNAN; Bardozzo, F; Marabotti, A; 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 | |
| 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-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. | |
| 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. | |
| 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 | |
| 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. | |
| Sugeno integral generalization applied to improve adaptive image binarization | 1-gen-2021 | Bardozzo, F.; De La Osa, B.; Horanska, L.; Fumanal-Idocin, J.; Delli Priscoli, M.; Troiano, L.; Tagliaferri, R.; Fernandez, J.; Bustince, H. | |
| We can make it better – improving the performances of AI-based predictors of protein structures | 1-gen-2022 | D'Arminio, N; GIL ZULUAGA, FABIO HERNAN; Bardozzo, F; Marabotti, A; Tagliaferri, R |