| Augmenting data with GANs to segment melanoma skin lesions F Pollastri, F Bolelli, R Paredes, C Grana Multimedia Tools and Applications 79 (21), 15575-15592, 2020 | 96 | 2020 |
| Evaluation of the classification accuracy of the kidney biopsy direct immunofluorescence through convolutional neural networks G Ligabue, F Pollastri, F Fontana, M Leonelli, L Furci, S Giovanella, ... Clinical Journal of the American Society of Nephrology 15 (10), 1445-1454, 2020 | 52 | 2020 |
| Deep segmentation of the mandibular canal: a new 3D annotated dataset of CBCT volumes M Cipriano, S Allegretti, F Bolelli, M Di Bartolomeo, F Pollastri, A Pellacani, ... IEEE Access 10, 11500-11510, 2022 | 47 | 2022 |
| Supporting skin lesion diagnosis with content-based image retrieval S Allegretti, F Bolelli, F Pollastri, S Longhitano, G Pellacani, C Grana 2020 25th International Conference on Pattern Recognition (ICPR), 8053-8060, 2021 | 41 | 2021 |
| Improving segmentation of the inferior alveolar nerve through deep label propagation M Cipriano, S Allegretti, F Bolelli, F Pollastri, C Grana Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 33 | 2022 |
| Skin lesion segmentation ensemble with diverse training strategies L Canalini, F Pollastri, F Bolelli, M Cancilla, S Allegretti, C Grana Computer Analysis of Images and Patterns: 18th International Conference …, 2019 | 33 | 2019 |
| Improving skin lesion segmentation with generative adversarial networks F Pollastri, F Bolelli, RP Palacios, C Grana 2018 IEEE 31St International symposium on computer-based medical systems …, 2018 | 31 | 2018 |
| Confidence calibration for deep renal biopsy immunofluorescence image classification F Pollastri, J Maronas, F Bolelli, G Ligabue, R Paredes, R Magistroni, ... 2020 25th International Conference on Pattern Recognition (ICPR), 1298-1305, 2021 | 24 | 2021 |
| A deep analysis on high‐resolution dermoscopic image classification F Pollastri, M Parreño, J Maroñas, F Bolelli, R Paredes, D Ramos, ... IET Computer Vision 15 (7), 514-526, 2021 | 23 | 2021 |
| How does connected components labeling with decision trees perform on GPUs? S Allegretti, F Bolelli, M Cancilla, F Pollastri, L Canalini, C Grana Computer Analysis of Images and Patterns: 18th International Conference …, 2019 | 22 | 2019 |
| A hierarchical quasi-recurrent approach to video captioning F Bolelli, L Baraldi, F Pollastri, C Grana 2018 IEEE International Conference on Image Processing, Applications and …, 2018 | 22 | 2018 |
| A cone beam computed tomography annotation tool for automatic detection of the inferior alveolar nerve canal M Cristian, M Cipriano, F Bolelli, F Pollastri, A Anesi, C Grana Proceedings of the 16th International Joint Conference on Computer Vision …, 2021 | 19 | 2021 |
| Inferior alveolar canal automatic detection with deep learning CNNs on CBCTs: Development of a novel model and release of open-source dataset and algorithm M Di Bartolomeo, A Pellacani, F Bolelli, M Cipriano, L Lumetti, S Negrello, ... Applied Sciences 13 (5), 3271, 2023 | 13 | 2023 |
| Automated prediction of kidney failure in IgA nephropathy with deep learning from biopsy images F Testa, F Fontana, F Pollastri, J Chester, M Leonelli, F Giaroni, F Gualtieri, ... Clinical Journal of the American Society of Nephrology 17 (9), 1316-1324, 2022 | 8 | 2022 |
| Long-range 3d self-attention for mri prostate segmentation F Pollastri, M Cipriano, F Bolelli, C Grana 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 6 | 2022 |
| Applications of ai and hpc in the health domain D Oniga, B Cantalupo, E Tartaglione, D Perlo, M Grangetto, M Aldinucci, ... HPC, Big Data, and AI Convergence Towards Exascale, 217-239, 2022 | 5 | 2022 |
| Aimagelab-prhlt at isic challenge 2019 F Pollastri, J Maroñas, M Perreno, B Federico, R Paredes, C Grana, ... AImageLab, Tech. Rep, 2019 | 5 | 2019 |
| Utilizzo del Deep Learning nella Analisi di Immagini Dermoscopiche F Pollastri Università degli studi di Modena e Reggio Emilia, 2022 | | 2022 |
| Impatto di un dataset sintetico generato con Generative Adversarial Networks sul processo di training di una rete convolutiva e deconvolutiva per la segmentazione automatica di … F POLLASTRI | | 2017 |
Federico BolelliTenure Track Assistant Professor, Università degli Studi di Modena e Reggio EmiliaDirección de correo verificada de unimore.it
