Gianluca Carloni

According to our database, Gianluca Carloni authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploiting causality signals in medical images: A pilot study with empirical results.

Gianluca Carloni, Sara Colantonio

Expert Syst. Appl., 2024

Connectivity-Inspired Network for Context-Aware Recognition.

Gianluca Carloni, Sara Colantonio

CoRR, 2024

Data and System Traceability for Transparent AI in Medical Imaging.

Sara Colantonio, Andrea Berti, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Varvara Kalokyri, Haridimos Kondylakis, Charalampos Kalantzopoulos, Nikolaos S. Tachos, Dimitris I. Fotiadis, Valentina Giannini, Simone Mazzetti, Daniele Regge, Nickolas Papanikolaou, Konstantinos Marias, Manolis Tsiknakis

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning.

Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment.

Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Francesco Conti, Giulio Del Corso, Danila Germanese, Davide Moroni, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023

The role of causality in explainable artificial intelligence.

Gianluca Carloni, Andrea Berti, Sara Colantonio

CoRR, 2023

Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement.

Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals.

Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio

Proceedings of the Italia Intelligenza Artificiale, 2023

Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI.

Gianluca Carloni, Eva Pachetti, Sara Colantonio

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet.

Gianluca Carloni, Andrea Berti, Chiara Iacconi, Maria Antonietta Pascali, Sara Colantonio

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project.

Andrea Berti, Gianluca Carloni, Sara Colantonio, Maria Antonietta Pascali, Paolo Manghi, Pasquale Pagano, Rossana Buongiorno, Eva Pachetti, Claudia Caudai, Domenico Di Gangi, Emanuele Carlini, Zeno Falaschi, Esther Ciarrocchi, Emanuele Neri, Elena Bertelli, Vittorio Miele, Roberto Carpi, Giulio Bagnacci, Nunzia Di Meglio, M. Antonietta Mazzei, Andrea Barucci

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022