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Feb 25
DELPHI-CONSENSUS BRAIN BIOMARKERS FOR CLINICAL PROFILING OF MCI PATIENTS: CONVERTERS VS. NON-CONVERTERS TO DEMENTIA
AUTHORS: Aresta, S., Fazzini, D., Zanardo, M., Vitali, P., Nemni, R., Castiglioni, I., & Salvatore, C.

European Congress of Radiology (ECR) 2025, Vienna, Austria, February 26 - March 2, 2025. Presenter: Simona Aresta.
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Jun 24

A DL ALGORITHM WITH OPTIMIZED COST FUNCTION FOR CLASSIFICATION OF MALIGNANT VERSUS BENIGN CALCIFICATIONS IN MAMMOGRAMS [publication website]

AUTHORS: Salvatore, C., Nelli, V., Interlenghi, M., Fazzini, D., Alì, M., Magni, V., Papa, S., Sardanelli, F., Castiglioni, I.

CONFERENCE: European Congress of Radiology 2024

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Jun 24

REAL-WORLD PERFORMANCE OF A PACS AND MAMMOGRAPHY UNIT-VENDOR NEUTRAL DL SYSTEM TO CLASSIFY BREAST DENSITY ON MAMMOGRAMS AND SYNTHETIC DBT VIEWS [publication website]

AUTHORS: Salvatore, C., Interlenghi, M., Schiavon, E., Lad, A., Fazzini, D., Alì, M., Papa, S., Sardanelli, F., Castiglioni, I.

CONFERENCE: European Congress of Radiology 2024

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Jun 24

PRESTAZIONI IN SITU DI UN SISTEMA DL INTEGRATO A PACS E UNITA' MAMMOGRAFICHE VENDOR NEUTRAL PER CLASSIFICARE LA DENSITA' MAMMARIA IN MAMMOGRAFIE E DBT SINTETICHE [conference website]

AUTHORS: Salvatore, C., Fazzini, D., Alì, M., Papa, S., Sardanelli, F., Castiglioni, I.

CONFERENCE: 51° National Congress of the Italian Society of Medical and Interventional Radiology (SIRM)

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Feb 24

X-RAYS RADIOMICS-BASED MACHINE LEARNING CLASSIFICATION OF ATYPICAL CARTILAGINOUS TUMOUR AND HIGH-GRADE CHONDROSARCOMA OF LONG BONES

Gitto, S., Annovazzi, A., Nulle, K., Interlenghi, M., Salvatore, C., Anelli, V., Baldi, J., Messina, C., Albano, D., Di Luca, F., Armiraglio, E., Parafioriti, A., Luzzati, A., Biagini, R., Castiglioni, I., & Sconfienza, L. M. (2024). X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones. EBioMedicine, 101, 105018. https://doi.org/10.1016/j.ebiom.2024.105018

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Feb 24

PAN-CANCER CLASSIFICATION OF MULTI-OMICS DATA BASED ON MACHINE LEARNING MODELS [publication website]

AUTHORS: Cava, C., Sabetian, S., Salvatore, C., Castiglioni, I.

JOURNAL: Network Modeling Analysis in Health Informatics and Bioinformatics

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Jan 24

UNVEILING THE DIAGNOSTIC POTENTIAL OF LINGUISTIC MARKERS IN IDENTIFYING INDIVIDUALS WITH PARKINSON’S DISEASE THROUGH ARTIFICIAL INTELLIGENCE: A SYSTEMATIC REVIEW [publication website]

AUTHORS: Palmirotta, C., Aresta, S., Battista, P., Tagliente, S., Lagravinese, G., Mongelli, D., Gelao, C., Fiore, P., Castiglioni, I., Minafra, B., Salvatore, C.

JOURNAL: Brain Sciences

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Jan 24

A MACHINE LEARNING MODEL TO PREDICT RESPONSE TO CHEMORADIATION AMONG PATIENTS WITH RECTAL CANCER

Crimì, F., D’Alessandro, C., Salvatore, C., Castiglioni, I., & Spolverato, G. (2024). A machine learning model to predict response to chemoradiation among patients with rectal cancer. Journal of the American College of Surgeons, 239(5 Suppl), S80.

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Jan 24

OPTIMIZATION OF PSA DENSITY THRESHOLD THROUGH AUTOMATED PROSTATE VOLUME SEGMENTATION WITH DEEP LEARNING FOR THE DIAGNOSIS OF CLINICALLY SIGNIFICANT PROSTATE CANCER

Alì, M., Salvatore, C., Interlenghi, M., Venturi, A., Colarieti, A., Fazzini, D., Papa, S., Sardanelli, F., & Castiglioni, I. (2024). Optimization of PSA density threshold through automated prostate volume segmentation with deep learning for the diagnosis of clinically significant prostate cancer. Anticancer Research, 44(10), 5001–5007.