| Type and location of wearable sensors for monitoring falls during static and dynamic tasks in healthy elderly: a review R Rucco, A Sorriso, M Liparoti, G Ferraioli, P Sorrentino, M Ambrosanio, ... Sensors 18 (5), 1613, 2018 | 137 | 2018 |
| A multithreshold iterative DBIM-based algorithm for the imaging of heterogeneous breast tissues M Ambrosanio, P Kosmas, V Pascazio IEEE Transactions on Biomedical Engineering 66 (2), 509-520, 2018 | 74 | 2018 |
| Enhanced Wiener filter for ultrasound image restoration F Baselice, G Ferraioli, M Ambrosanio, V Pascazio, G Schirinzi Computer methods and programs in biomedicine 153, 71-81, 2018 | 74 | 2018 |
| Performance analysis of tomographic methods against experimental contactless multistatic ground penetrating radar M Ambrosanio, MT Bevacqua, T Isernia, V Pascazio IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 56 | 2020 |
| A compressive-sensing-based approach for the detection and characterization of buried objects M Ambrosanio, V Pascazio IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 54 | 2015 |
| Determination, by using GPR, of the volumetric water content in structures, substructures, foundations and soil F Tosti, E Slob Civil Engineering Applications of Ground Penetrating Radar, 163-194, 2015 | 52 | 2015 |
| A multi-channel ultrasound system for non-contact heart rate monitoring M Ambrosanio, S Franceschini, G Grassini, F Baselice IEEE Sensors Journal 20 (4), 2064-2074, 2019 | 50 | 2019 |
| Hand gesture recognition via radar sensors and convolutional neural networks S Franceschini, M Ambrosanio, S Vitale, F Baselice, A Gifuni, G Grassini, ... 2020 IEEE Radar Conference (RadarConf20), 1-5, 2020 | 48 | 2020 |
| The tomographic approach to ground-penetrating radar for underground exploration and monitoring: A more user-friendly and unconventional method for subsurface investigation M Ambrosanio, MT Bevacqua, T Isernia, V Pascazio IEEE Signal Processing Magazine 36 (4), 62-73, 2019 | 39 | 2019 |
| An end-to-end deep learning approach for quantitative microwave breast imaging in real-time applications M Ambrosanio, S Franceschini, V Pascazio, F Baselice Bioengineering 9 (11), 651, 2022 | 37 | 2022 |
| Machine learning for microwave imaging M Ambrosanio, S Franceschini, F Baselice, V Pascazio 2020 14th European Conference on Antennas and Propagation (EuCAP), 1-4, 2020 | 28 | 2020 |
| A deep learning approach for diagnosis support in breast cancer microwave tomography S Franceschini, MM Autorino, M Ambrosanio, V Pascazio, F Baselice Diagnostics 13 (10), 1693, 2023 | 19 | 2023 |
| Reduced clinical connectome fingerprinting in multiple sclerosis predicts fatigue severity L Cipriano, ET Lopez, M Liparoti, R Minino, A Romano, A Polverino, ... NeuroImage: Clinical 39, 103464, 2023 | 17 | 2023 |
| An adaptive multi-threshold iterative shrinkage algorithm for microwave imaging applications M Ambrosanio, P Kosmasy, V Pascazio 2016 10th European Conference on Antennas and Propagation (EuCAP), 1-3, 2016 | 17 | 2016 |
| Neural networks for inverse problems: The microwave imaging case S Franceschini, M Ambrosanio, F Baselice, V Pascazio 2021 15th European Conference on Antennas and Propagation (EuCAP), 1-5, 2021 | 16 | 2021 |
| Anisotropic weighted KS-NLM filter for noise reduction in MRI B Kanoun, M Ambrosanio, F Baselice, G Ferraioli, V Pascazio, L Gómez IEEE Access 8, 184866-184884, 2020 | 16 | 2020 |
| Hand gesture signatures acquisition and processing by means of a novel ultrasound system S Franceschini, M Ambrosanio, V Pascazio, F Baselice Bioengineering 10 (1), 36, 2022 | 15 | 2022 |
| Microwave breast imaging via neural networks for almost real-time applications M Ambrosanio, S Franceschini, V Pascazio, F Baselice arXiv preprint arXiv:2103.12522, 2021 | 15 | 2021 |
| Intra voxel analysis in magnetic resonance imaging M Ambrosanio, F Baselice, G Ferraioli, F Lenti, V Pascazio Magnetic resonance imaging 37, 70-80, 2017 | 13 | 2017 |
| A compressive sensing based approach for microwave tomography and GPR applications M Ambrosanio, R Autieri, V Pascazio 2014 IEEE Geoscience and Remote Sensing Symposium, 3144-3147, 2014 | 13 | 2014 |
Pascazio VUniversità di Napoli ParthenopeVerified email at uniparthenope.it
