Author

Marco Fraccaro

Observed name: Fraccaro, Marco

Institutions: University of Zagreb, Faculty of Electrical Engineering and Computing in Zagreb

Observed institutions: University of Zagreb, Faculty of Electrical Engineering and Computing in Zagreb

ORCID: 0009-0005-6562-6463

Observed ORCID: 0009-0005-6562-6463

OpenAlex ID: A5038512786

The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review

2021 · Dana Li, Lea Marie Pehrson, et al. · Diagnostics · 35

Inter- and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based Decision Support System

2022 · Dana Li, Lea Marie Pehrson, et al. · Diagnostics · 12

Towards Clinically Useful AI: From Radiology Practices in Global South and North to Visions of AI Support

2025 · Hubert D. Zając, Tariq O. Andersen, et al. · ACM Transactions on Computer-Human Interaction · 10

Performance and Agreement When Annotating Chest X-ray Text Reports—A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System

2023 · Dana Li, Lea Marie Pehrson, et al. · Diagnostics · 4

Clinicians’ Agreement on Extrapulmonary Radiographic Findings in Chest X-Rays Using a Diagnostic Labelling Scheme

2025 · Lea Marie Pehrson, Dana Li, et al. · Diagnostics · 2

An Analytical Review of Model Order Reduction Methodologies of Converter-Dominated Power Systems for Stability Studies

2026 · Grdenić, Goran, Fraccaro, Marco, et al. · arXiv (Cornell University)

MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification in Low-Resource Settings

2026 · Alice Schiavone, Marco Fraccaro, et al. · Language Resources and Evaluation Conference (LREC)

MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification

2025 · Schiavone, Alice, Fraccaro, Marco, et al. · arXiv (Cornell University)

Effective Machine Learning Techniques for Non-English Radiology Report Classification: A Danish Case Study

2025 · Alice Schiavone, Lea Marie Pehrson, et al. · AI

Works count: 9

Citation count: 63

H-index: 4

I10-index: 3