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Arianna Defeudis

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2020 – today

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2023
[c10]
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  - conf/bibe/PanicDRBRG23
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Jovana Panic, Arianna Defeudis, Daniele Regge, Gabriella Balestra, Samanta Rosati, Valentina Giannini:
Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model. BIBE 2023: 393-396
2022
[c9]
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Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Monica Micilotta, Lorenzo Vassallo, Marco Gatti, Daniele Regge, Gabriella Balestra, Valentina Giannini:
A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study. EMBC 2022: 5066-5069
[c8]
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  - conf/memea/DefeudisPGPVRG22
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Arianna Defeudis, Jovana Panic, Walter Guzzinati, Laura Pusceddu, Lorenzo Vassallo, Daniele Regge, Valentina Giannini:
A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy. MeMeA 2022: 1-6
[c7]
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Jovana Panic, Valentina Giannini, Arianna Defeudis, Daniele Regge, Gabriella Balestra, Samanta Rosati:
Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images. MeMeA 2022: 1-6
2021
[c6]
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  - conf/embc/DefeudisCGCRPBN21
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Arianna Defeudis, Lorenzo Cefaloni, Giuliana Giannetto, Giovanni Cappello, Francesco Rizzetto, Jovana Panic, Davide Barra, Giulia Nicoletti, Simone Mazzetti, Alberto Vanzulli, Daniele Regge, Valentina Giannini:
Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer. EMBC 2021: 3305-3308
[c5]
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  - conf/embc/BarraNDMPGFRRG21
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Davide Barra, Giulia Nicoletti, Arianna Defeudis, Simone Mazzetti, Jovana Panic, Marco Gatti, Riccardo Faletti, Filippo Russo, Daniele Regge, Valentina Giannini:
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil. EMBC 2021: 3370-3373
[c4]
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  - conf/embc/NicolettiBDMGFR21
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Giulia Nicoletti, Davide Barra, Arianna Defeudis, Simone Mazzetti, Marco Gatti, Riccardo Faletti, Filippo Russo, Daniele Regge, Valentina Giannini:
Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI? EMBC 2021: 3374-3377
2020
[c3]
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  - conf/embc/GianniniDRCMPRB20
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Valentina Giannini, Arianna Defeudis, Samanta Rosati, Giovanni Cappello, Simone Mazzetti, Jovana Panic, Daniele Regge, Gabriella Balestra:
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images. EMBC 2020: 1339-1342
[c2]
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Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Lorenzo Vassallo, Daniele Regge, Gabriella Balestra, Valentina Giannini:
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images. EMBC 2020: 1675-1678
[c1]
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  - conf/memea/GianniniDRCVMPR20
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Valentina Giannini, Arianna Defeudis, Samanta Rosati, Giovanni Cappello, Lorenzo Vassallo, Simone Mazzetti, Jovana Panic, Daniele Regge, Gabriella Balestra:
Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy. MeMeA 2020: 1-5

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