| Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey N Altini, B Prencipe, GD Cascarano, A Brunetti, G Brunetti, V Triggiani, ... Neurocomputing 490, 30-53, 2022 | 50 | 2022 |
| Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN N Altini, G De Giosa, N Fragasso, C Coscia, E Sibilano, B Prencipe, ... Informatics 8 (2), 40, 2021 | 49 | 2021 |
| Shape-based breast lesion classification using digital tomosynthesis images: The role of explainable artificial intelligence SM Hussain, D Buongiorno, N Altini, F Berloco, B Prencipe, M Moschetta, ... Applied Sciences 12 (12), 6230, 2022 | 36 | 2022 |
| Focal dice loss-based V-Net for liver segments classification B Prencipe, N Altini, GD Cascarano, A Brunetti, A Guerriero, V Bevilacqua Applied Sciences 12 (7), 3247, 2022 | 28 | 2022 |
| Lung segmentation and characterization in COVID-19 patients for assessing pulmonary thromboembolism: an approach based on deep learning and radiomics V Bevilacqua, N Altini, B Prencipe, A Brunetti, L Villani, A Sacco, C Morelli, ... Electronics 10 (20), 2475, 2021 | 20 | 2021 |
| Predictive machine learning models and survival analysis for covid-19 prognosis based on hematochemical parameters N Altini, A Brunetti, S Mazzoleni, F Moncelli, I Zagaria, B Prencipe, ... Sensors 21 (24), 8503, 2021 | 16 | 2021 |
| A Tversky loss-based convolutional neural network for liver vessels segmentation N Altini, B Prencipe, A Brunetti, G Brunetti, V Triggiani, L Carnimeo, ... Intelligent Computing Theories and Application: 16th International …, 2020 | 15 | 2020 |
| The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification N Altini, TM Marvulli, FA Zito, M Caputo, S Tommasi, A Azzariti, A Brunetti, ... Computer Methods and Programs in Biomedicine 234, 107511, 2023 | 12 | 2023 |
| Multi-class tissue classification in colorectal cancer with handcrafted and deep features N Altini, TM Marvulli, M Caputo, E Mattioli, B Prencipe, GD Cascarano, ... Intelligent Computing Theories and Application: 17th International …, 2021 | 12 | 2021 |
| Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy N Altini, M Rossini, S Turkevi-Nagy, F Pesce, P Pontrelli, B Prencipe, ... Computer Methods and Programs in Biomedicine 242, 107814, 2023 | 10 | 2023 |
| A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype A Brunetti, N Altini, D Buongiorno, E Garolla, F Corallo, M Gravina, ... Applied Sciences 12 (12), 5829, 2022 | 9 | 2022 |
| An explainable radiogenomic framework to predict mutational status of KRAS and EGFR in lung adenocarcinoma patients B Prencipe, C Delprete, E Garolla, F Corallo, M Gravina, MI Natalicchio, ... Bioengineering 10 (7), 747, 2023 | 7 | 2023 |
| A Novel approach based on region growing algorithm for liver and spleen segmentation from CT scans B Prencipe, N Altini, GD Cascarano, A Guerriero, A Brunetti Intelligent Computing Theories and Application: 16th International …, 2020 | 7 | 2020 |
| Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN. Informatics, vol. 8, p. 40 N Altini, G De Giosa, N Fragasso, C Coscia, E Sibilano, B Prencipe, ... | 6 | 2021 |
Nicola AltiniAssistant Professor @ Polytechnic University of BariE-mailová adresa ověřena na: poliba.it