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Arianna Defeudis

Showing results (1-10 of 18) with videos related to

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IEEE Open Journal of Engineering in Medicine and Biology|June 7, 2023
Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-AnalysesJovana Panic, Arianna Defeudis, Gabriella Balestra, et al.
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|October 6, 2020
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT imagesValentina Giannini, Arianna Defeudis, Samanta Rosati, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI imagesJovana Panic, Arianna Defeudis, Simone Mazzetti, 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.
Physics in Medicine and Biology|June 24, 2020
Standardization of CT radiomics features for multi-center analysis: impact of software settings and parametersArianna Defeudis, Cristina De Mattia, Francesco Rizzetto, 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.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center studyJovana Panic, Arianna Defeudis, Simone Mazzetti, et al.
European Radiology Experimental|May 2, 2022
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre studyArianna Defeudis, Simone Mazzetti, Jovana Panic, 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.
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Showing results (1-10 of 18) with videos related to

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Pageof 2
IEEE Open Journal of Engineering in Medicine and Biology|June 7, 2023
Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-AnalysesJovana Panic, Arianna Defeudis, Gabriella Balestra, et al.
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|October 6, 2020
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT imagesValentina Giannini, Arianna Defeudis, Samanta Rosati, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI imagesJovana Panic, Arianna Defeudis, Simone Mazzetti, 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.
Physics in Medicine and Biology|June 24, 2020
Standardization of CT radiomics features for multi-center analysis: impact of software settings and parametersArianna Defeudis, Cristina De Mattia, Francesco Rizzetto, 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.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center studyJovana Panic, Arianna Defeudis, Simone Mazzetti, et al.
European Radiology Experimental|May 2, 2022
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre studyArianna Defeudis, Simone Mazzetti, Jovana Panic, 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.
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