Gianluca Carloni

20 papers Journal 10Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration.
CoRR
Gianluca Carloni
2025 — conf
Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss.
MedAGI
Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Sérgio Pereira
2025 J jnl
Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss.
CoRR
Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Sérgio Pereira
2025 J jnl
The Role of Causality in Explainable Artificial Intelligence.
WIREs Data. Mining. Knowl. Discov.
Gianluca Carloni, Andrea Berti, Sara Colantonio
2024 — conf
CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning.
UNSURE@MICCAI
Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio
2024 J jnl
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning.
CoRR
Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio
2024 — conf
Connectivity-Inspired Network for Context-Aware Recognition.
ECCV Workshops (14)
Gianluca Carloni, Sara Colantonio
2024 J jnl
Connectivity-Inspired Network for Context-Aware Recognition.
CoRR
Gianluca Carloni, Sara Colantonio
2024 — conf
Data and System Traceability for Transparent AI in Medical Imaging.
SEBD
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
2024 J jnl
Exploiting causality signals in medical images: A pilot study with empirical results.
Expert Syst. Appl.
Gianluca Carloni, Sara Colantonio
2024 — conf
From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment.
Ital-IA
Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Francesco Conti, Giulio Del Corso, Danila Germanese, Davide Moroni, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio
2023 — conf
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI.
ICCV (Workshops)
Gianluca Carloni, Eva Pachetti, Sara Colantonio
2023 J jnl
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI.
CoRR
Gianluca Carloni, Eva Pachetti, Sara Colantonio
2023 — conf
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement.
STACOM@MICCAI
Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris
2023 J jnl
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement.
CoRR
Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris
2023 J jnl
Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results.
CoRR
Gianluca Carloni, Sara Colantonio
2023 — conf
Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals.
Ital-IA
Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio
2023 J jnl
The role of causality in explainable artificial intelligence.
CoRR
Gianluca Carloni, Andrea Berti, Sara Colantonio
2022 — conf
Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project.
BHI
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
2022 — conf
On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet.
ICPR Workshops (1)
Gianluca Carloni, Andrea Berti, Chiara Iacconi, Maria Antonietta Pascali, Sara Colantonio