Elisa Scalco

Editorial: Innovative AI approaches in quantitative MRI: from image enhancement to biomarker estimation.

Journal: Frontiers in radiology

Published: January 26, 2026

Segmentation Variability in Bayesian U-Net versus Manual Annotations: Impact on Radiomic Reproducibility in Lung Tumor CT Images.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Automatically Measuring Kidney, Liver, and Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease.

Journal: Journal of the American Society of Nephrology : JASN

Published: May 13, 2025

Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease.

Journal: Scientific reports

Published: November 06, 2024

Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review.

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: October 30, 2024

Predictive value of tumoral and peritumoral radiomic features in neoadjuvant chemotherapy response for breast cancer: a retrospective study.

Journal: La Radiologia medica

Published: August 01, 2024

Methodological issues in radiomics: impact on accuracy of MRI for predicting response to neoadjuvant chemotherapy in breast cancer.

Journal: European radiology

Published: May 08, 2024

The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo images.

Journal: Computers in biology and medicine

Published: September 28, 2022

Automatic Feature Construction Based on Genetic Programming for Survival Prediction in Lung Cancer Using CT Images.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: September 10, 2022

A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR images.

Journal: NMR in biomedicine

Published: December 01, 2021

Editorial: Innovative AI approaches in quantitative MRI: from image enhancement to biomarker estimation.

Editorial: Innovative AI approaches in quantitative MRI: from image enhancement to biomarker estimation.

Segmentation Variability in Bayesian U-Net versus Manual Annotations: Impact on Radiomic Reproducibility in Lung Tumor CT Images.

Segmentation Variability in Bayesian U-Net versus Manual Annotations: Impact on Radiomic Reproducibility in Lung Tumor CT Images.

Automatically Measuring Kidney, Liver, and Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease.

Automatically Measuring Kidney, Liver, and Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease.

Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease.

Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease.

Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review.

Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review.

Predictive value of tumoral and peritumoral radiomic features in neoadjuvant chemotherapy response for breast cancer: a retrospective study.

Predictive value of tumoral and peritumoral radiomic features in neoadjuvant chemotherapy response for breast cancer: a retrospective study.

Methodological issues in radiomics: impact on accuracy of MRI for predicting response to neoadjuvant chemotherapy in breast cancer.

Methodological issues in radiomics: impact on accuracy of MRI for predicting response to neoadjuvant chemotherapy in breast cancer.

The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo images.

The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo images.

Automatic Feature Construction Based on Genetic Programming for Survival Prediction in Lung Cancer Using CT Images.

Automatic Feature Construction Based on Genetic Programming for Survival Prediction in Lung Cancer Using CT Images.

A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR images.

A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR images.

The stability of oncologic MRI radiomic features and the potential role of deep learning: a review.

The stability of oncologic MRI radiomic features and the potential role of deep learning: a review.

Theranostics in Boron Neutron Capture Therapy.

Theranostics in Boron Neutron Capture Therapy.