Machine and deep learning prediction of prostate cancer aggressiveness using multiparametric MRI E Bertelli, L Mercatelli, C Marzi, E Pachetti, M Baccini, A Barucci, ... Frontiers in oncology 11, 802964, 2022 | 56 | 2022 |
A systematic review of few-shot learning in medical imaging E Pachetti, S Colantonio Artificial intelligence in medicine, 102949, 2024 | 15 | 2024 |
Causality-driven one-shot learning for prostate cancer grading from mri G Carloni, E Pachetti, S Colantonio Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 11 | 2023 |
On the effectiveness of 3D vision transformers for the prediction of prostate cancer aggressiveness E Pachetti, S Colantonio, MA Pascali International Conference on Image Analysis and Processing, 317-328, 2022 | 11 | 2022 |
3D-vision-transformer stacking ensemble for assessing prostate cancer aggressiveness from T2w images E Pachetti, S Colantonio Bioengineering 10 (9), 1015, 2023 | 6 | 2023 |
Data models for an imaging bio-bank for colorectal, prostate and gastric cancer: the navigator project A Berti, G Carloni, S Colantonio, MA Pascali, P Manghi, P Pagano, ... 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | 4 | 2022 |
Few-shot conditional learning: Automatic and reliable device classification for medical test equipment E Pachetti, G Del Corso, S Bardelli, S Colantonio Journal of Imaging 10 (7), 167, 2024 | 2 | 2024 |
Radiomics-based reliable predictions of side effects after radiotherapy for prostate cancer G Del Corso, E Pachetti, R Buongiorno, AC Rodrigues, D Germanese, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | 2 | 2024 |
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement Y Xue, Y Du, G Carloni, E Pachetti, C Jordan, SA Tsaftaris International Workshop on Statistical Atlases and Computational Models of …, 2023 | 2 | 2023 |
Exploring the potential and challenges of AI in clinical diagnostics and remote assistance of individuals A Berti, R Buongiorno, G Carloni, C Caudai, G del Corso, D Germanese, ... Convegno Nazionale CINI sull'Intelligenza Artificiale (ITAL-IA), 2023 | 2* | 2023 |
Boosting few-shot learning with disentangled self-supervised learning and meta-learning for medical image classification E Pachetti, SA Tsaftaris, S Colantonio arXiv preprint arXiv:2403.17530, 2024 | 1 | 2024 |
AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency* S Colantonio, A Berti, R Buongiorno, G Del Corso, E Pachetti, MA Pascali, ... 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in …, 2023 | 1 | 2023 |
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences E Mylona, DI Zaridis, CΝ Kalantzopoulos, NS Tachos, D Regge, ... Insights into Imaging 15 (1), 265, 2024 | | 2024 |
Seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings E Pachetti, S Colantonio MICCAI Workshop on Cancer Prevention through Early Detection, 48-58, 2024 | | 2024 |
Data and System Traceability for Transparent AI in Medical Imaging S Colantonio, A Berti, G Carloni, C Caudai, G Del Corso, D Germanese, ... CEUR WORKSHOP PROCEEDINGS 3741, 615-623, 2024 | | 2024 |
From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment A Berti, R Buongiorno, G Carloni, C Caudai, F Conti, G Del Corso, ... | | 2024 |
Hallucinating for Diagnosing: One-Shot Medical Image Classification Leveraging Score-Based Generative Models E Pachetti, S Colantonio Medical Imaging with Deep Learning, 2024 | | 2024 |
SI-Lab Annual Research Report 2021 M Righi, GR Leone, A Carboni, C Caudai, S Colantonio, EE Kuruoglu, ... Consiglio Nazionale delle Ricerche, 2022 | | 2022 |
Sviluppo e interpretazione di reti neurali convolutive per la classificazione su dataset sbilanciati di immagini MRI multiparametriche. Caso studio: tumore alla prostata EVA PACHETTI | | 2021 |