Matteo Interlenghi

8PUBLICATIONS
41CO-AUTHORS
Radiation therapyPredictive and prognostic markersBiomedical imagingBioinformatic methods developmentObstetrics and gynaecology
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Publications (8)

|Jan 08, 2025
A Machine Learning Model Based on MRI Radiomics to Predict Response to Chemoradiation Among Patients with Rectal Cancer.

Filippo Crimì, Carlo D'Alessandro, Chiara Zanon

|Dec 23, 2022
Radiomics and Molecular Classification in Endometrial Cancer (The ROME Study): A Step Forward to a Simplified Precision Medicine.

Giorgio Bogani, Valentina Chiappa, Salvatore Lopez

|Apr 08, 2022
Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus.

Veronica Magni, Matteo Interlenghi, Andrea Cozzi

|Jan 21, 2022
A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.

Matteo Interlenghi, Christian Salvatore, Veronica Magni

|May 07, 2021
Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer.

Margarita Kirienko, Martina Sollini, Marinella Corbetta

|Apr 03, 2021
Advanced Imaging Analysis in Prostate MRI: Building a Radiomic Signature to Predict Tumor Aggressiveness.

Anna Damascelli, Francesca Gallivanone, Giulia Cristel

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