Gianluca Carloni

University of Pisa — Italy

Computer Science · Physical Sciences

6h-index85citations20works5.12yr avg
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Research Topics

AI in cancer detection(7), Radiomics and Machine Learning in Medical Imaging(6), Explainable Artificial Intelligence (XAI)(4), Medical Imaging Techniques and Applications(3), Domain Adaptation and Few-Shot Learning(3)

Publications20 total

Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss
Lecture notes in computer science·2025· 1 cited
The Role of Causality in Explainable Artificial Intelligence
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery·2025· 16 citedOpen Access
SI-Lab Annual Research Report 2024
SPIRE - Sciences Po Institutional REpository·2025Open Access
Connectivity-Inspired Network for Context-Aware Recognition
Lecture notes in computer science·2025Open Access
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences
Insights into Imaging·2024· 24 citedOpen Access
CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning
Lecture notes in computer science·2024· 2 citedOpen Access
Connectivity-Inspired Network for Context-Aware Recognition
arXiv (Cornell University)·2024Open Access
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
arXiv (Cornell University)·2024· 1 citedOpen Access
Exploiting causality signals in medical images: A pilot study with empirical results
Expert Systems with Applications·2024· 6 citedOpen Access
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement
Lecture notes in computer science·2024· 1 citedOpen Access
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
2023· 9 citedOpen Access
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
arXiv (Cornell University)·2023Open Access
Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results
arXiv (Cornell University)·2023Open Access
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
arXiv (Cornell University)·2023Open Access
The role of causality in explainable artificial intelligence
arXiv (Cornell University)·2023· 8 citedOpen Access
On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet
Lecture notes in computer science·2023· 8 citedOpen Access
Brain metastases from NSCLC treated with stereotactic radiotherapy: prediction mismatch between two different radiomic platforms
Radiotherapy and Oncology·2022· 8 citedOpen Access
Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)·2022· 1 citedOpen Access
SI-Lab Annual Research Report 2021
HAL (Le Centre pour la Communication Scientifique Directe)·2022Open Access

Frequent Co-authors

Sara Colantonio(15), Eva Pachetti(7), Andrea Berti(7), Maria Antonietta Pascali(4), Sotirios A. Tsaftaris(4), Danila Germanese(3), Eugenia Mylona(2), Dimitrios I. Zaridis(2), Charalampos Kalantzopoulos(2), Nikolaos S. Tachos(2), Daniele Regge(2), Nick Papanikolaou(2), Manolis Tsiknakis(2), Kostas Marias(2), Emanuele Neri(2), Chiara Iacconi(2), Yuyang Xue(2), Yuning Du(2), Connor Jordan(2), Rossana Buongiorno(2)