| On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet G Carloni, A Berti, C Iacconi, MA Pascali, S Colantonio International Conference on Pattern Recognition (ICPR) 2022 - International …, 2022 | 8 | 2022 |
| Brain metastases from NSCLC treated with stereotactic radiotherapy: prediction mismatch between two different radiomic platforms G Carloni, C Garibaldi, G Marvaso, S Volpe, M Zaffaroni, M Pepa, ... Radiotherapy and Oncology 178, 109424, 2023 | 6 | 2023 |
| 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 | 4 | 2023 |
| The role of causality in explainable artificial intelligence G Carloni, A Berti, S Colantonio arXiv preprint arXiv:2309.09901, 2023 | 3 | 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, ... IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2022 | 3 | 2022 |
| Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals A Berti, R Buongiorno, G Carloni, C Caudai, G Del Corso, D Germanese, ... Ital-IA 3486, 2023 | 2 | 2023 |
| Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results G Carloni, S Colantonio Expert Systems with Applications 249 (123433), 2024 | | 2024 |
| Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement Y Xue, Y Du, G Carloni, E Pachetti, C Jordan, SA Tsaftaris MICCAI 2023 - International Workshop on Statistical Atlases and …, 2023 | | 2023 |
| PO-1783 Leverage radiomic and clinical data in predicting SRS treatment outcomes in patients with brain mets G Carloni, G Marvaso, C Garibaldi, M Zaffaroni, S Volpe, M Pepa, ... Radiotherapy and Oncology 170, S1590-S1591, 2022 | | 2022 |
| SI-Lab Annual Research Report 2021 M Righi, GR Leone, A Carboni, C Caudai, S Colantonio, EE Kuruoglu, ... Consiglio Nazionale delle Ricerche, 2022 | | 2022 |
| Evaluation of features robustness in radiomic studies: the importance of parameters harmonization when using multiple platforms G Carloni, G Marvaso, C Garibaldi, M Zaffaroni, S Volpe, M Pepa, ... XXXI National Congress AIRO 2021, 2021 | | 2021 |
| Integrating MRI-radiomics and clinical data for outcome prediction in NSCLC patients treated for brain metastases with SRS G Carloni, G Marvaso, C Garibaldi, M Zaffaroni, S Volpe, M Pepa, ... ALLIANCE AGAINST CANCER – 6th ANNUAL MEETING: NEW TECHNOLOGIES AND …, 2021 | | 2021 |
| PO-1794 Features robustness in the radiomic workflow: the impact of software choice on feature variability M Zaffaroni, G Carloni, S Volpe, C Garibaldi, G Marvaso, S Gandini, ... Radiotherapy and Oncology 161, S1519-S1520, 2021 | | 2021 |
| Study and development of advanced models integrating radiomic features and clinical data for outcome prediction in non-small cell lung cancer patients treated for brain … G Carloni University of Pisa, 2021 | | 2021 |
| A multidisciplinary team@ ISTI SILab A Berti, R Buongiorno, G Carloni, C Caudai, MA Pascali, E Pachetti, ... | | |
Sara ColantonioISTI-CNRVerified email at isti.cnr.it
