Giovanni Cappello

According to our database, Giovanni Cappello authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Velocity Estimation Using Time-Differenced Carrier Phase and Doppler Shift with Different Grades of Devices: From Smartphones to Professional Receivers.

Antonio Angrisano, Giovanni Cappello, Salvatore Gaglione, Ciro Gioia

Algorithms, 2024

Bag-of-Words Algorithm to Predict Response to Treatment in Gist Tumors Using CT Scans.

Debora Cafaro, Giovanni Cappello, Roberto Cannella, Tommaso Vincenzo Bartolotta, Giovanni Grignani, Alessandra Merlini, Daniele Regge, Valentina Giannini

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Application of "Galileo High Accuracy Service" on Single-Point Positioning.

Antonio Angrisano, Silvia Ascione, Giovanni Cappello, Ciro Gioia, Salvatore Gaglione

Sensors, 2023

Demonstrating Galileo Has in Single Point Positioning.

Giovanni Cappello, Antonio Angrisano, Silvia Ascione, Silvio Del Pizzo, Ciro Gioia, Gabriele Portelli, Melania Susi, Salvatore Gaglione

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2023

2022

The EGNOS Augmentation in Maritime Navigation.

Anna Innac, Antonio Angrisano, Silvio Del Pizzo, Giovanni Cappello, Salvatore Gaglione

Sensors, 2022

Time-Differenced Carrier Phase Technique for Precise Velocity Estimation on an Android Smartphone.

Antonio Angrisano, Giovanni Cappello, Silvio Del Pizzo, Salvatore Gaglione

Sensors, 2022

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

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

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