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 | 14 | 2022 |
The role of causality in explainable artificial intelligence G Carloni, A Berti, S Colantonio arXiv preprint arXiv:2309.09901 (2nd-round review in WIREs DMKD), 2023 | 13 | 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 | 10 | 2023 |
Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results G Carloni, S Colantonio Expert Systems with Applications 249 (123433), 2024 | 7 | 2024 |
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 | 7 | 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 | 4 | 2022 |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging CH Sudre, CF Baumgartner, A Dalca, C Qin, R Tanno, K Van Leemput, ... UNSURE: International Workshop on Uncertainty for Safe Utilization of …, 2022 | 3 | 2022 |
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 | 2 | 2023 |
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, ... 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital-IA 2023), 2023 | 2 | 2023 |
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning G Carloni, SA Tsaftaris, S Colantonio¹ Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 6th …, 2024 | | 2024 |
Connectivity-Inspired Network for Context-Aware Recognition G Carloni, S Colantonio ECCV 2024 - International Workshop on Human-inspired Computer Vision …, 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, ... 4th CINI National Lab AIIS Conference on Artificial Intelligence (Ital-IA 2024), 2024 | | 2024 |
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 (https://doi.org/10.1016/S0167-8140(21)08 …, 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 |
Sviluppo di un'Interfaccia Grafica Utente in Matlab per la visualizzazione e l’analisi spettrale di segnali elettroencefalografici ed elettrocardiografici G Carloni | | |