Roberto Maroncelli

9PUBLICATIONS
9CO-AUTHORS
Cancer diagnosisCancer therapy (excl. chemotherapy and radiation therapy)Predictive and prognostic markersImplementation science and evaluationDeep learning
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Publications (9)

|Jul 24, 2026
Predictive deep learning model based on contrast-enhanced mammography for breast cancer diagnosis: a pilot study.

|May 21, 2026
Diagnostic accuracy of contrast-enhanced mammography in evaluating breast cancer response to neoadjuvant therapy: a systematic review and meta-analysis.

|Dec 02, 2025
Radiomics-based MRI models for predicting breast cancer axillary lymph node involvement in comparison with Node-RADS: a proof-of-concept study.

Roberto Maroncelli, Veronica Rizzo, Marcella Pasculli

|Nov 19, 2025
Why clinical context and sustainability matters: the role of high-concentration contrast in CEM.

Federica Pediconi, Annarita Speranza, Giuliana Moffa

|Jul 12, 2025
Deep Learning with Transfer Learning on Digital Breast Tomosynthesis: A Radiomics-Based Model for Predicting Breast Cancer Risk.

Francesca Galati, Roberto Maroncelli, Chiara De Nardo

|Jun 14, 2025
Contrast-enhanced mammography for breast cancer detection and diagnosis with high concentration iodinated contrast medium.

Federica Pediconi, Annarita Speranza, Giuliana Moffa

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Frequent Collaborators

3 joint publications

Francesca Galati

3 joint publications

Veronica Rizzo

3 joint publications

Federica Pediconi

2 joint publications

Giuliana Moffa