Arianna Defeudis
Turin, Italy
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 18 publications
Methodological quality of cardiac CT and MRI radiomics studies assessed using METRICS and RQS by human readers and ChatGPT 5.1 Thinking.
Journal: European radiology experimental
Published: November 02, 2025
Liver metastases: The role of magnetic resonance imaging.
Journal: World journal of gastroenterology
Published: July 30, 2023
Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer.
Journal: European radiology
Published: April 12, 2023
Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses.
Journal: IEEE open journal of engineering in medicine and biology
Published: February 03, 2023
Virtual biopsy in abdominal pathology: where do we stand?
Journal: BJR open
Published: November 18, 2022
A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study.
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
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study.
Journal: European radiology experimental
Published: December 14, 2021
Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases.
Journal: Cancers
Published: December 14, 2021
Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer.
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 11, 2021
Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?
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 11, 2021
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil.
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 11, 2021
A Fully Automatic Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation.
Journal: Frontiers in oncology
Published: May 31, 2021
Last Updated: 09/26/2026