Vittorio Didonna

Bari, 70124, Italy

Last Updated: 09/26/2026

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Found 26 publications

Corrigendum to "Stability of radiomic features in magnetic resonance imaging of the female pelvis: A multicentre phantom study". [Phys. Med. 130 (2025) 104895].

Corrigendum to "Stability of radiomic features in magnetic resonance imaging of the female pelvis: A multicentre phantom study". [Phys. Med. 130 (2025) 104895].

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Published: February 01, 2026

Erratum to "Stability of radiomic features in magnetic resonance imaging of the female pelvis: A multicentre phantom study" [Phys. Medica 130 (2025) 104895].

Erratum to "Stability of radiomic features in magnetic resonance imaging of the female pelvis: A multicentre phantom study" [Phys. Medica 130 (2025) 104895].

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Published: February 25, 2025

Stability of radiomic features in magnetic resonance imaging of the female pelvis: A multicentre phantom study.

Stability of radiomic features in magnetic resonance imaging of the female pelvis: A multicentre phantom study.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Published: September 17, 2024

Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy.

Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy.

Journal: Computers in biology and medicine

Published: June 28, 2023

Analyzing breast cancer invasive disease event classification through explainable artificial intelligence.

Analyzing breast cancer invasive disease event classification through explainable artificial intelligence.

Journal: Frontiers in medicine

Published: December 05, 2022

Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer.

Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer.

Journal: Scientific reports

Published: November 04, 2022

Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer.

Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer.

Journal: Frontiers in medicine

Published: November 04, 2022

Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer.

Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer.

Journal: Frontiers in medicine

Published: July 13, 2022

A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification.

A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification.

Journal: PloS one

Published: June 09, 2022

Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy.

Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy.

Journal: Journal of personalized medicine

Published: March 25, 2022

An Invasive Disease Event-Free Survival Analysis to Investigate Ki67 Role with Respect to Breast Cancer Patients' Age: A Retrospective Cohort Study.

An Invasive Disease Event-Free Survival Analysis to Investigate Ki67 Role with Respect to Breast Cancer Patients' Age: A Retrospective Cohort Study.

Journal: Cancers

Published: March 24, 2022

A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients.

A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients.

Journal: Scientific reports

Published: November 25, 2021

Showing 1-12 of 26

Last Updated: 09/26/2026