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Federico Pollastri
Federico Pollastri
Verified email at studenti.unimore.it
Title
Cited by
Cited by
Year
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
462020
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
242018
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
222020
Skin lesion segmentation ensemble with diverse training strategies
L Canalini, F Pollastri, F Bolelli, M Cancilla, S Allegretti, C Grana
International Conference on Computer Analysis of Images and Patterns, 89-101, 2019
202019
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
122021
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
102018
How does connected components labeling with decision trees perform on GPUs?
S Allegretti, F Bolelli, M Cancilla, F Pollastri, L Canalini, C Grana
International Conference on Computer Analysis of Images and Patterns, 39-51, 2019
92019
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
62021
A cone beam computed tomography annotation tool for automatic detection of the inferior alveolar nerve canal
C Mercadante, M Cipriano, F Bolelli, F Pollastri, A Anesi, C Grana
16th International Conference on Computer Vision Theory and Applications …, 2021
62021
A deep analysis on high‐resolution dermoscopic image classification
F Pollastri, M Parreņo, J Maroņas, F Bolelli, R Paredes, D Ramos, ...
IET Computer Vision 15 (7), 514-526, 2021
42021
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
32022
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
12022
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
12022
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
12022
Utilizzo del Deep Learning nella Analisi di Immagini Dermoscopiche
F Pollastri
Universitā 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
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