Arianna Defeudis

According to our database, Arianna Defeudis authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model.

Jovana Panic, Arianna Defeudis, Daniele Regge, Gabriella Balestra, Samanta Rosati, Valentina Giannini

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images.

Jovana Panic, Valentina Giannini, Arianna Defeudis, Daniele Regge, Gabriella Balestra, Samanta Rosati

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy.

Arianna Defeudis, Jovana Panic, Walter Guzzinati, Laura Pusceddu, Lorenzo Vassallo, Daniele Regge, Valentina Giannini

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study.

Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Monica Micilotta, Lorenzo Vassallo, Marco Gatti, Daniele Regge, Gabriella Balestra, Valentina Giannini

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?

Giulia Nicoletti, Davide Barra, Arianna Defeudis, Simone Mazzetti, Marco Gatti, Riccardo Faletti, Filippo Russo, Daniele Regge, Valentina Giannini

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer.

Arianna Defeudis, Lorenzo Cefaloni, Giuliana Giannetto, Giovanni Cappello, Francesco Rizzetto, Jovana Panic, Davide Barra, Giulia Nicoletti, Simone Mazzetti, Alberto Vanzulli, Daniele Regge, Valentina Giannini

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil.

Davide Barra, Giulia Nicoletti, Arianna Defeudis, Simone Mazzetti, Jovana Panic, Marco Gatti, Riccardo Faletti, Filippo Russo, Daniele Regge, Valentina Giannini

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy.

Valentina Giannini, Arianna Defeudis, Samanta Rosati, Giovanni Cappello, Lorenzo Vassallo, Simone Mazzetti, Jovana Panic, Daniele Regge, Gabriella Balestra

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images.

Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Lorenzo Vassallo, Daniele Regge, Gabriella Balestra, Valentina Giannini

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images.

Valentina Giannini, Arianna Defeudis, Samanta Rosati, Giovanni Cappello, Simone Mazzetti, Jovana Panic, Daniele Regge, Gabriella Balestra

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020