| Sugeno integral generalization applied to improve adaptive image binarization F Bardozzo, B De La Osa, Ľ Horanská, J Fumanal-Idocin, M delli Priscoli, ... Information Fusion 68, 37-45, 2020 | 36 | 2020 |
| Deep learning-based, misalignment resilient, real-time Fourier Ptychographic Microscopy reconstruction of biological tissue slides V Bianco, MD Priscoli, D Pirone, G Zanfardino, P Memmolo, F Bardozzo, ... IEEE Journal of Selected Topics in Quantum Electronics 28 (4: Mach. Learn …, 2022 | 22 | 2022 |
| Neuroblastoma cells classification through learning approaches by direct analysis of digital holograms MD Priscoli, P Memmolo, G Ciaparrone, V Bianco, F Merola, L Miccio, ... IEEE Journal of Selected Topics in Quantum Electronics 27 (5), 1-9, 2021 | 21 | 2021 |
| A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection G Ciaparrone, F Bardozzo, MD Priscoli, JL Kallewaard, MR Zuluaga, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 21 | 2020 |
| StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy F Bardozzo, T Collins, A Forgione, A Hostettler, R Tagliaferri Medical Image Analysis 77, 102380, 2022 | 20 | 2022 |
| Machine learning as a support for the diagnosis of type 2 diabetes A Agliata, D Giordano, F Bardozzo, S Bottiglieri, A Facchiano, ... International Journal of Molecular Sciences 24 (7), 6775, 2023 | 18 | 2023 |
| Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network FHG Zuluaga, F Bardozzo, JIR Patino, R Tagliaferri 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 11 | 2021 |
| A study on multi-omic oscillations in Escherichia coli metabolic networks F Bardozzo, P Lió, R Tagliaferri BMC bioinformatics 19, 139-154, 2018 | 11 | 2018 |
| Cross X-AI: Explainable semantic segmentation of laparoscopic images in relation to depth estimation F Bardozzo, MD Priscoli, T Collins, A Forgione, A Hostettler, R Tagliaferri 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 9 | 2022 |
| Multi omic oscillations in bacterial pathways F Bardozzo, P Lió, R Tagliaferri 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 3 | 2015 |
| Label-free cell classification in holographic flow cytometry through an unbiased learning strategy G Ciaparrone, D Pirone, P Fiore, L Xin, W Xiao, X Li, F Bardozzo, ... Lab on a Chip, 2024 | 1 | 2024 |
| Neural networks for fatigue crack propagation predictions in real-time under uncertainty V Giannella, F Bardozzo, A Postiglione, R Tagliaferri, R Sepe, ... Computers & Structures 288, 107157, 2023 | 1 | 2023 |
| Deep learning assisted Fourier ptychography for cells and tissue analysis V Bianco, M Valentino, J Behal, D Pirone, F Bardozzo, P Memmolo, ... Optical Methods for Inspection, Characterization, and Imaging of …, 2023 | 1 | 2023 |
| An Automated Pipeline Integrating AlphaFold 2 and Modeller for Protein Structure Prediction FHG Zuluaga, N D’Arminio, F Bardozzo, R Tagliaferri, A Marabotti Computational and Structural Biotechnology Journal, 2023 | 1 | 2023 |
| Real-time FPM reconstruction and misalignment correction by numerical Multi-Look and GAN V Bianco, MD Priscoli, M Valentino, D Pirone, J Behal, G Zanfardino, ... Computational Optical Sensing and Imaging, CTh3C. 4, 2022 | 1 | 2022 |
| Raw holograms based machine learning for cancer cells classification in microfluidics MD Priscoli, P Memmolo, G Ciaparrone, V Bianco, F Merola, L Miccio, ... Digital Holography and Three-Dimensional Imaging, DTh1D. 3, 2021 | 1 | 2021 |
| Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks F Bardozzo, P Lió, R Tagliaferri Bioinformatics, 9, 2020 | 1 | 2020 |
| Motor strength classification with machine learning approaches applied to anatomical neuroimages F Bardozzo, SC Uribe, AG Russo, MJ Castaño, MD Priscolli, F Esposito, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 1 | 2020 |
| Elegans-AI: How the connectome of a living organism could model artificial neural networks F Bardozzo, A Terlizzi, C Simoncini, P Lió, R Tagliaferri Neurocomputing 584, 127598, 2024 | | 2024 |
| We can make it better–improving the performances of AI-based predictors of protein structures N D'Arminio, FH GIL ZULUAGA, F Bardozzo, A Marabotti, R Tagliaferri Proceedings of BITS2022, 1-1, 2022 | | 2022 |
Roberto TAGLIAFERRINeurone Lab - Disa Mis - University of SalernoVerified email at unisa.it
