immagine
Jun 25

VARIABILITY OF SEGMENTED PROSTATE VOLUME ON MRI: IMPACT ON PSA DENSITY FOR PROSTATE CANCER DIAGNOSIS

Colarieti, A., Venturi, A., Cressoni, M., Interlenghi, M., Zanardo, M., Castiglioni, I., & Sardanelli, F. (2025). Variability of segmented prostate volume on MRI: impact on PSA density for prostate cancer diagnosis. Variabilität des segmentierten Prostatavolumens im MRT: Einfluss auf die PSA-Dichte für die Prostatakrebsdiagnose. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin. https://doi.org/10.1055/a-2624-7634

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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

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

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.

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Jan 24

ADNEXAL MASSES AND RISK OF MALIGNANCY BY RADIOMICS, EXTERNAL VALIDATION OF A DECISION SUPPORT TOOL

Chiappa, V., Interlenghi, M., Spanò Bascio, L., Fruscio, R., Salvatore, C., Ferrero, S., Rosati, F., De Meis, L., Rolla, M., Ficarelli, S., Pino, I., Franchi, D., Mor, E., Leone Roberti Maggiore, U., Bogani, G., Raspagliesi, F., & Castiglioni, I. (2024). 1311 Adnexal masses and risk of malignancy by radiomics, external validation of a decision support tool. International Journal of Gynecological Cancer, 34(Suppl 3), A149–A150. https://doi.org/10.1136/ijgc-2024-ESGO.286

immagine
Jan 24

A MACHINE LEARNING MODEL BASED ON MRI RADIOMICS TO PREDICT RESPONSE TO CHEMORADIATION AMONG PATIENTS WITH RECTAL CANCER

Crimì, F., D’Alessandro, C., Zanon, C., Celotto, F., Salvatore, C., Interlenghi, M., Castiglioni, I., & Quaia, E. (2024). A machine learning model based on MRI radiomics to predict response to chemoradiation among patients with rectal cancer. Life, 14(12), 1530. https://doi.org/10.3390/life14121530