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Giulia Nicoletti

Showing results (1-10 of 11) with videos related to

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BJR Open|April 10, 2023
Virtual biopsy in abdominal pathology: where do we stand?Arianna Defeudis, Jovana Panic, Giulia Nicoletti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Stain normalization matters: impact on feature relevance and classifier performance in mCRC therapy response predictionGiulia Nicoletti, Debora Cafaro, Federica Cruciani, et al.
Medical Image Analysis|June 7, 2025
Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applicationsDaan Schouten, Giulia Nicoletti, Bas Dille, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?Giulia Nicoletti, Davide Barra, Arianna Defeudis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
AI-Driven Pathomics for Predicting Chemotherapy Response in Metastatic Colorectal Cancer: A Transfer Learning Approach with Attention-Based Multiple Instance LearningFederica Cruciani, Giulia Nicoletti, Debora Cafaro, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coilDavide Barra, Giulia Nicoletti, Arianna Defeudis, et al.
European Radiology Experimental|June 19, 2026
Methodological quality of cardiac CT and MRI radiomics studies assessed using METRICS and RQS by human readers and ChatGPT 5.1 ThinkingLudwig Federico Garello, Valentina Giannini, Marco Gatti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancerArianna Defeudis, Lorenzo Cefaloni, Giuliana Giannetto, et al.
Cancers|January 11, 2024
Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRIGiulia Nicoletti, Simone Mazzetti, Giovanni Maimone, et al.
Cancers|January 11, 2022
Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver MetastasesValentina Giannini, Laura Pusceddu, Arianna Defeudis, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
BJR Open|April 10, 2023
Virtual biopsy in abdominal pathology: where do we stand?Arianna Defeudis, Jovana Panic, Giulia Nicoletti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Stain normalization matters: impact on feature relevance and classifier performance in mCRC therapy response predictionGiulia Nicoletti, Debora Cafaro, Federica Cruciani, et al.
Medical Image Analysis|June 7, 2025
Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applicationsDaan Schouten, Giulia Nicoletti, Bas Dille, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?Giulia Nicoletti, Davide Barra, Arianna Defeudis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
AI-Driven Pathomics for Predicting Chemotherapy Response in Metastatic Colorectal Cancer: A Transfer Learning Approach with Attention-Based Multiple Instance LearningFederica Cruciani, Giulia Nicoletti, Debora Cafaro, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coilDavide Barra, Giulia Nicoletti, Arianna Defeudis, et al.
European Radiology Experimental|June 19, 2026
Methodological quality of cardiac CT and MRI radiomics studies assessed using METRICS and RQS by human readers and ChatGPT 5.1 ThinkingLudwig Federico Garello, Valentina Giannini, Marco Gatti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancerArianna Defeudis, Lorenzo Cefaloni, Giuliana Giannetto, et al.
Cancers|January 11, 2024
Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRIGiulia Nicoletti, Simone Mazzetti, Giovanni Maimone, et al.
Cancers|January 11, 2022
Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver MetastasesValentina Giannini, Laura Pusceddu, Arianna Defeudis, et al.
Pageof 2