Michele Ambrosanio

According to our database, Michele Ambrosanio authored at least 25 papers between 2014 and 2024.

Collaborative distances:

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

2024

Intra voxel analysis in magnetic resonance imaging via deep learning.

Maria Maddalena Autorino, Stefano Franceschini, Michele Ambrosanio, Vito Pascazio, Fabio Baselice

Int. J. Imaging Syst. Technol., January, 2024

2022

An Experimental Ultrasound System for Qualitative Tomographic Imaging.

Michele Ambrosanio, Stefano Franceschini, Maria Maddalena Autorino, Fabio Baselice, Vito Pascazio

Sensors, 2022

Microwave Breast Imaging Via Deep Learning.

Michele Ambrosanio, Maria Maddalena Autorino, Stefano Franceschini, Fabio Baselice, Vito Pascazio

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Neural Networks for Optimal Initial Guess Selection in Nonlinear Microwave Subsurface Imaging.

Michele Ambrosanio, Stefano Franceschini, Maria Maddalena Autorino, Vito Pascazio

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Person Identification and Authentication via Ultrasound Hand-gesture-signature Analysis.

Stefano Franceschini, Michele Ambrosanio, Fabio Baselice, Vito Pascazio

Proceedings of the IEEE International Conference on E-health Networking, 2022

2021

Performance Analysis of Tomographic Methods Against Experimental Contactless Multistatic Ground Penetrating Radar.

Michele Ambrosanio, Martina Teresa Bevacqua, Tommaso Isernia, Vito Pascazio

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020

Anisotropic Weighted KS-NLM Filter for Noise Reduction in MRI.

Bilel Kanoun, Michele Ambrosanio, Fabio Baselice, Giampaolo Ferraioli, Vito Pascazio, Luis Gómez

IEEE Access, 2020

wKSR-NLM: An Ultrasound Despeckling Filter Based on Patch Ratio and Statistical Similarity.

Michele Ambrosanio, Bilel Kanoun, Fabio Baselice

IEEE Access, 2020

A Tomographic Multiview-Multistatic Ultrasound System for Biomedical Imaging Applications.

Stefano Franceschini, Michele Ambrosanio, Fabio Baselice, Vito Pascazio

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

MUHD: A Multi-channel Ultrasound Prototype for Remote Heartbeat Detection.

Stefano Franceschini, Michele Ambrosanio, Fabio Baselice

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Artificial Neural Networks for Quantitative Microwave Breast Imaging.

Michele Ambrosanio, Stefano Franceschini, Fabio Baselice, Vito Pascazio

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

A Multithreshold Iterative DBIM-Based Algorithm for the Imaging of Heterogeneous Breast Tissues.

Michele Ambrosanio, Panagiotis Kosmas, Vito Pascazio

IEEE Trans. Biomed. Eng., 2019

The Tomographic Approach to Ground-Penetrating Radar for Underground Exploration and Monitoring: A more user-friendly and unconventional method for subsurface investigation.

Michele Ambrosanio, Martina T. Bevacqua, Tommaso Isernia, Vito Pascazio

IEEE Signal Process. Mag., 2019

Experimental Multistatic Imaging VIA the Linear Sampling Method.

Michele Ambrosanio, Martina T. Bevacqua, Tommaso Isernia, Vito Pascazio

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Correction: Rucco, R.; et al. Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review. <i>Sensors</i> 2018, <i>18</i>, 1613.

Rosaria Rucco, Antonietta Sorriso, Marianna Liparoti, Giampaolo Ferraioli, Pierpaolo Sorrentino, Michele Ambrosanio, Fabio Baselice

Sensors, 2018

Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review.

Rosaria Rucco, Antonietta Sorriso, Marianna Liparoti, Giampaolo Ferraioli, Pierpaolo Sorrentino, Michele Ambrosanio, Fabio Baselice

Sensors, 2018

Enhanced Wiener filter for ultrasound image restoration.

Fabio Baselice, Giampaolo Ferraioli, Michele Ambrosanio, Vito Pascazio, Gilda Schirinzi

Comput. Methods Programs Biomed., 2018

KSR-NLM: a non local means despeckling filter for ultrasound images based on ratio patch and KS distance.

Michele Ambrosanio

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

A mixed L² - L¹ norm minimization procedure for the data processing of ground penetrating radar.

Michele Ambrosanio, Gilda Schirinzi, Vito Pascazio

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Kolgomorov Smirnov test based approach for SAR automatic target recognition.

Michele Ambrosanio, Fabio Baselice, Giampaolo Ferraioli, Emanuele Ferrentino, Vito Pascazio

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Combining wavelet transform and compressive sensing for subsurface imaging of non-sparse targets.

Michele Ambrosanio, Vito Pascazio

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

A Compressive-Sensing-Based Approach for the Detection and Characterization of Buried Objects.

Michele Ambrosanio, Vito Pascazio

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Three-dimensional subsurface imaging of weak scatterers by using compressive sampling.

Michele Ambrosanio, Vito Pascazio

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Intra voxel analysis in MRI.

Michele Ambrosanio, Fabio Baselice, Giampaolo Ferraioli, Vito Pascazio

Proceedings of the Medical Imaging 2014: Image Processing, 2014

A compressive sensing based approach for microwave tomography and GPR applications.

Michele Ambrosanio, Roberta Autieri, Vito Pascazio

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014