M. M. Autorino, S. Franceschini, M. Ambrosanio, V. Pascazio and F. Baselice "Intra voxel analysis in magnetic resonance imaging via deep learning" International Journal of Imaging Systems and Technology, Wiley, 2024.
M. Borghouts, M. Ambrosanio, S. Franceschini, M. M. Autorino, V. Pascazio and F. Baselice "Microwave Breast Sensing via Deep Learning for Tumor Spatial Localization by Probability Maps" Bioendineering, no. 10:10, 2023.
S. Franceschini, M. M. Autorino, M. Ambrosanio, V. Pascazio and F. Baselice "A Deep Learning Approach for Diagnosis Support in Breast Cancer Microwave Tomography" Diagnostics, no. 13:10, 2023.
P. Sorrentino, G. Rabuffo, F. Baselice, E. Troisi Lopez, M. Liparoti, M. Quarantelli, G. Sorrentino, C. Bernard and V. Jirsa "Dynamical interactions reconfigure the gradient of cortical timescales" Network Neuroscienc, vol. 7, no. 1, pp. 73-851, 2023.
S. Franceschini, M. Ambrosanio, V. Pascazio and F. Baselice "Hand Gesture Signatures Acquisition and Processing by Means of a Novel Ultrasound System" Bioengineering, no. 10:1, 2023.
P. Sorrentino, S. Petkoski, M. Sparaco, E. Troisi Lopez, E. Signoriello, F. Baselice, S. Bonavita, M. A. Pirozzi, M. Quarantelli, G. Sorrentino and V. Jirsa "Whole-brain propagation delays in multiple sclerosis, a combined tractography-magnetoencephalography study" Journal of Neuroscience, vol. 42, no. 47, pp. 8807-8816 , 2022.
M. Ambrosanio, S. Franceschini, V. Pascazio and F. Baselice "An End-to-End Deep Learning Approach for Quantitative Microwave Breast Imaging in Real-Time Applications" Bioengineering, no. 11: 651, 2022.
M. Ambrosanio, S. Franceschini, M.M. Autorino, F. Baselice and V. Pascazio "An Experimental Ultrasound System for Qualitative Tomographic Imaging" Sensors, vol. 20, 2022.
S. Franceschini, M. Ambrosanio, A. Gifuni, G. Grassini and F. Baselice “An Experimental Ultrasound Database for Tomographic Imaging”, MDPI Applied Sciences, vol. 12, 2022.
P. Sorrentino, M. Ambrosanio, R. Rucco, J. Cabral, L. L. Gollo, M. Breakspear and F. Baselice “Detection of cross-frequency coupling between brain areas: an extension of phase-linearity measurement ”, Frontiers in Neuroscience, section Brain Imaging Methods, 2022.
P. Sorrentino, R. Rucco, F. Baselice, R. De Micco, A. Tessitore, A. Hillebrand, L. Mandolesi, M. Breakspear, L. Gollo and G. Sorrentino “Flexible brain dynamics underpins complex behaviours as observed in Parkinson’s disease”, Scientific Reports, vol. 11, no. 1, 2021.
R. Rucco, P. Bernardo, A. Lardone, F. Baselice, M. Pesoli, A. Polverino, C. Bravaccio, C. Granata, L. Mandolesi, G. Sorrentino and P. Sorrentino “Neuronal avalanches to study brain dynamics as a self-organized critical system: application to the Rett syndrome”, Frontiers in Psychology, vol. 11, pp. 2845, 2020.
B. Kanoun, M. Ambrosanio, F. Baselice, G. Ferraioli, V. Pascazio and L. Gomez “Anisotropic Weighted KS-NLM Filter for Noise Reduction in MRI”, IEEE Access, vol. 8, pp. 184866-184884, 2020.
M. Ambrosanio, B. Kanoun and F. Baselice “wKSR-NLM: an Ultrasound Despeckling Filter Based on Patch Ratio and Statistical Similarity”, IEEE Access, vol. 8, pp. 150773-150783, 2020.
R. Rucco, F. Baselice, M. Ambrosanio, A. Vettoliere, P. Sorrentino, M. P. Riccio, C. Bravaccio and C. Granata, “Brain connectivity study by multichannel system based on superconducting quantum magnetic sensors”, Engineering Research Express, 2020.
M. Ambrosanio, S. Franceschini, G. Grassini and F. Baselice “A Multi-Channel Ultrasound System for Non-Contact Heart Rate Monitoring”, IEEE Sensors Journal, vol. 20, n. 4, pp. 2064-2074, 2019.
P. Sorrentino, M. Ambrosanio, R. Rucco and F. Baselice "An extension of Phase Linearity Measurement for revealing cross frequency coupling among brain areas”, Journal of NeuroEngineering and Rehabilitation, vol. 16, n. 135, 2019.
A. Sorriso, P. Sorrentino, R. Rucco, M. Ambrosanio, L. Mandolesi, G. Ferraioli and F. Baselice “An automated magnetoencephalographic data cleaning algorithm”, Computer Methods in Biomechanics and Biomedical Engineering, vol. 22, n. 14, pp. 1116-1125, 2019.
R. Rucco, M. Liparoti, F. Jacini, F. Baselice, A. Antenora, G. De Michele, C. Criscuolo, A. Vettoliere, L. Mandolesi, G. Sorrentino and P. Sorrentino “Mutations in the SPAST gene causing hereditary spastic paraplegia are related to global topological alterations in brain functional networks”, Neurological Sciences, vol. 40, pp. 979-984, 2019.
F. Baselice, G. Ferraioli, V. Pascazio and A. Sorriso “Denoising of MR images using Kolmogorov-Smirnov distance in a Non Local framework”, Magnetic Resonance Imaging, vol. 57, pp. 176-193, 2019.
F. Baselice, A. Sorriso, R. Rucco and P. Sorrentino “Phase Linearity Measurement: a novel index for brain functional connectivity”, IEEE Transactions on Medical Imaging, vol. 38, n. 4, pp. 873-882, 2019.
A. Lardone, M. Liparoti, P. Sorrentino, F. Jacini, A. Polverino, R. Minino, F. Baselice, A. Sorriso, R. Rucco, G. Sorrentino, L. Mandolesi, G. Ferraioli and M. Pesoli “Mindfulness meditation is related to long-lasting changes in hippocampal functional topology during resting state: a magnetoencephalography study”, Neural Plasticity, vol. 2018, 9 pages, 2018.
F. Jacini, P. Sorrentino, A. Lardone, F. Baselice, C. Cavaliere, M. Orsini, M. Aiello, A. Iavarone, V. Manzo, A. Carotenuto and G. Sorrentino “ Amnestic mild cognitive impairment is associated with frequency-specific brain network alterations in temporal poles”, Frontiers in Aging Neuroscience, vol. 10, 2018.
P. Sorrentino, R. Rucco, F. Jacini, F. Trojsi, A. Lardone, F. Baselice, C. Femiano, G. Santangelo, C. Granata, A. Vettoliere, M.R. Monsurrò, G. Tedeschi, G. Sorrentino “Brain functional networks become more connected as Amyotrophic lateral sclerosis progresses: a source level magnetoencephalography study”, NeuroImage: Clinical, vol. 20, pp. 564-571, 2018.
M. Ambrosanio and F. Baselice "Cyclostationary Analysis for Heart Rate Variability", The Open Bioinformatics Journal, vol. 11, pp. 164-181, 2018.
R. Rucco, A Sorriso, M. Liparoti, G. Ferraioli, P. Sorrentino, M. Ambrosanio and F. Baselice “Type and location of wearable sensors for monitoring falls during static and dynamic tasks in healthy elderly people: a review", Sensors, Special Issue on "Sensors for Gait, Posture, and Health Monitoring", vol. 18, n. 5, 2018.
M. Ambrosanio, F. Baselice, G. Ferraioli, V. Pascazio and G. Schirinzi “Enhanced Wiener filter for ultrasound image restoration”, Computer Methods and Programs in Biomedicine, vol. 153, pp. 71-81, 2018.
R. Ambrosino, F. Baselice, G. Ferraioli and G. Schirinzi “Extended Kalman Filter for Multichannel InSAR Height Reconstruction”, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, n. 10, pp. 5854-5863, 2017.
F. Baselice “Ultrasound image de-speckling based on statistical similarity”, Ultrasound in Medicine and Biology, vol. 43, n. 9, pp. 2065-2078, 2017.
F. Baselice and G. Ferraioli “Modified Dixon Technique for MRI Water-Fat Separation using Jointly Amplitude and Phase”, Biomedical Research, vol. 28, n. 10, pp. 4324-4328, 2017.
F. Baselice, G. Ferraioli and V. Pascazio “A 3D MRI denoising algorithm based on Bayesian theory”, Biomedical Engineering Online, vol. 16, n. 1, 25 pages, 2017.
F. Baselice, G. Ferraioli, V. Pascazio and A. Sorriso “Bayesian MRI denoising in complex domain”, Magnetic Resonance Imaging, vol. 38, pp. 112-122, 2017.
M. Ambrosanio, F. Baselice, G. Ferraioli, F. Lenti and V. Pascazio “Intra Voxel Analysis in Magnetic Resonance Imaging”, Magnetic Resonance Imaging, vol. 37, pp. 70-80, 2017.
F. Baselice, G. Ferraioli, S. Lukin, G. Matuozzo, V. Pascazio and G. Schirinzi “A New Methodology for 3D Target Detection in Automotive Radar Applications”, Sensors, vol. 16, n. 5, pp. 614-624, 2016.
F. Baselice, G. Ferraioli and V. Pascazio “A Bayesian Approach for Relaxation Times Estimation in MRI”, Magnetic Resonance Imaging, vol. 34, n. 3, pp. 312-325, 2016.
F. Baselice, G. Ferraioli and V. Pascazio “A Novel Statistical Approach for Brain MR Images Segmentation Based on Relaxation Times”, BioMed Research International, vol. 2015, 13 pages, 2015.
F. Baselice, R. Caivano, A. Cammarota, G. Ferraioli and V. Pascazio “T1 and T2 estimation in complex domain: first results on clinical data”, Concepts in Magnetic Resonance Part A, vol. 43, n. 5, pp. 166-176, 2015.
F. Baselice, A. Budillon, G. Ferraioli, V. Pascazio and G. Schirinzi “Multi-Baseline SAR Interferometry from Complex Data”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, n. 7, pp. 2911-2918, 2014.
F. Baselice, G. Ferraioli, V. Pascazio and G. Schirinzi “Contextual Information-Based Multichannel Synthetic Aperture Radar Interferometry: Addressing DEM reconstruction using contextual information”, IEEE Signal Processing Magazine, vol. 31, n. 4, pp. 59-68, 2014.
F. Baselice, G. Ferraioli, A. Grassia and V. Pascazio “Optimal Configuration for Relaxation Times Estimation in Complex Spin Echo Imaging”, Sensors, special issue on MagneticResonance Sensors, vol. 14, n. 2, pp. 2182-2198, 2014.
F. Baselice, G. Ferraioli and V. Pascazio “Markovian Change Detection of Urban Areas Using Very High Resolution Complex SAR Images”, IEEE Geoscience and Remote Sensing Letters, vol. 11, n. 5, pp. 995-999, 2013.
F. Baselice, G. Ferraioli and D. Reale “Edge Detection using Real and Imaginary Decomposition of SAR Data”, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, n. 7, pp. 3833-3842, 2013.
F. Baselice and G. Ferraioli “Unsupervised Coastal Line Extraction From SAR Images”, IEEE Geoscience and Remote Sensing Letters, vol. 10, n. 3, pp. 1350-1354, 2013.
A. Shabou, F. Baselice and G. Ferraioli “Urban Digital Elevation Model Reconstruction using Very High Resolution Multi-channel InSAR Data”, IEEE Transactions on Geoscience and Remote Sensing, vol. 50, n. 11, pp. 4748-4758, 2012.
F. Baselice and G. Ferraioli “Statistical Edge Detection in Urban Areas exploiting SAR Complex Data”, IEEE Geoscience and Remote Sensing Letters, vol. 9, n. 2, pp. 185-189, 2012.
F. Baselice, G. Ferraioli and V. Pascazio “Relaxation Time Estimation from Complex Magnetic Resonance Images”, Sensors, vol. 10, n. 4, pp. 3611-3625, 2010.
F. Baselice, G. Ferraioli and A. Shabou “Field Map Reconstruction in Magnetic Resonance Imaging Using Bayesian Estimation”, Sensors, vol. 10, n. 1, pp. 266-279, 2010.
F. Baselice, A. Budillon, G. Ferraioli and V. Pascazio “Layover Solution in SAR Imaging: a Statistical Approach”, IEEE Geoscience and Remote Sensing Letters, vol. 6, n. 3, pp. 577-581, 2009.
F. Baselice, G. Ferraioli and V. Pascazio “DEM Reconstruction in Layover Areas From SAR and Auxiliary Input Data”, IEEE Geoscience and Remote Sensing Letters, vol. 6, n. 2, pp. 253-257, 2009.