M. Sansone

M. Sansone, R. Grassi, C. Ricciardi, 2022, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

Bio-Mathematical Modelling in Tumor Evaluation Via Magnetic Resonance Imaging

M. Sansone, 2016 .

Kinematic Evaluation of the Sagittal Posture during Walking in Healthy Subjects by 3D Motion Analysis Using DB-Total Protocol

M. Sansone, M. Mosca, A. Perna, 2022, Journal of functional morphology and kinesiology.

A systematic review on multiparametric MR imaging in prostate cancer detection

R. Fusco, M. Sansone, S. Setola, 2017, Infectious Agents and Cancer.

Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks

Carlo Sansone, Mario Sansone, Roberta Fusco, 2020, Artif. Intell. Medicine.

Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns

Stefano Marrone, Carlo Sansone, Mario Sansone, 2018, IET Comput. Vis..

Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks

Carlo Sansone, Mario Sansone, Gabriele Piantadosi, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Systematic Review and Meta-Analysis of the Occurrence of ESKAPE Bacteria Group in Dogs, and the Related Zoonotic Risk in Animal-Assisted Therapy, and in Animal-Assisted Activity in the Health Context

M. Sansone, A. Fioretti, A. Santaniello, 2020, International journal of environmental research and public health.

Efficacy of animal‐assisted therapy adapted to reality orientation therapy: measurement of salivary cortisol

G. Perruolo, P. Formisano, M. Sansone, 2019, Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society.

Changes of Oxytocin and Serotonin Values in Dialysis Patients after Animal Assisted Activities (AAAs) with a Dog—A Preliminary Study

G. Perruolo, P. Formisano, M. Sansone, 2019, Animals : an Open Access Journal from MDPI.

Discrimination power of long-term heart rate variability measures for chronic heart failure detection

Paolo Melillo, Mario Sansone, Roberta Fusco, 2011, Medical & Biological Engineering & Computing.

Automated search of control points in surface-based morphometry

Mario Sansone, Alessandro Pepino, Fabrizio Esposito, 2018, NeuroImage.

Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in the Breast Lesions Classification

P. Vallone, R. Fusco, M. Sansone, 2021, Diagnostics.

Electrocardiogram pattern recognition and analysis based on artificial neural networks and support vector machines: a review.

Carlo Sansone, Mario Sansone, Roberta Fusco, 2013, Journal of healthcare engineering.

Discrimination Power of Short-Term Heart Rate Variability Measures for CHF Assessment

Paolo Melillo, Mario Sansone, Leandro Pecchia, 2011, IEEE Transactions on Information Technology in Biomedicine.

Heart Rate Variability in healthy people compared with patients with Congestive Heart Failure

Paolo Melillo, Mario Sansone, Leandro Pecchia, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Usefulness of point shear wave elastography to assess the effects of extracorporeal shockwaves on spastic muscles in children with cerebral palsy: an uncontrolled experimental study

G. Vallone, M. Sansone, B. Corrado, 2019, Muscle Ligaments and Tendons Journal.

Cytokine signature and COVID-19 prediction models in the two waves of pandemics

Mario Sansone, Francesco Oriente, Serena Cabaro, 2021, Scientific Reports.

Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography

R. Fusco, M. Sansone, V. Granata, 2023, Current oncology.

Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis

P. Delrio, R. Grimm, A. Avallone, 2020, Applied Sciences.

Quantification of heterogeneity to classify benign parotid tumors: a feasibility study on most frequent histotypes.

F. Biglioli, R. Fusco, M. Sansone, 2020, Future oncology.

Short and long term effects of Nabiximols on balance and walking assessed by 3D-gait analysis in people with Multiple Sclerosis and spasticity.

M. Melone, M. Sansone, S. Sampaolo, 2021, Multiple sclerosis and related disorders.

Radiomic features analysis by digital breast tomosynthesis and contrast-enhanced dual-energy mammography to detect malignant breast lesions

Mario Sansone, Roberta Fusco, Vincenza Granata, 2019, Biomed. Signal Process. Control..

Blood Oxygenation Level Dependent Magnetic Resonance Imaging (MRI), Dynamic Contrast Enhanced MRI, and Diffusion Weighted MRI for Benign and Malignant Breast Cancer Discrimination: A Preliminary Experience

P. Vallone, R. Fusco, M. Sansone, 2021, Cancers.

A comparison of fitting algorithms for diffusion-weighted MRI data analysis using an intravoxel incoherent motion model

Mario Sansone, Roberta Fusco, Antonella Petrillo, 2017, Magnetic Resonance Materials in Physics, Biology and Medicine.

ECG databases for biometric systems: A systematic review

Carlo Sansone, Mario Sansone, Mario Merone, 2017, Expert Syst. Appl..

Use of ultrasound shear wave to measure muscle stiffness in children with cerebral palsy

G. Vallone, M. Sansone, B. Corrado, 2018, Journal of Ultrasound.

Validation of the standardized index of shape tool to analyze DCE-MRI data in the assessment of neo-adjuvant therapy in locally advanced rectal cancer

P. Delrio, A. Avallone, R. Fusco, 2021, La radiologia medica.

Structured Reporting of Lung Cancer Staging: A Consensus Proposal

E. Neri, L. Calandriello, N. Sverzellati, 2021, Diagnostics.

A systematic review on multiparametric MR imaging in prostate cancer detection

R. Fusco, M. Sansone, S. Setola, 2017, Infectious Agents and Cancer.

Dynamic contrast-enhanced MRI in breast cancer: A comparison between distributed and compartmental tracer kinetic models

Mario Sansone, Roberta Fusco, Antonella Petrillo, 2012 .

Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system

Carlo Sansone, Mario Sansone, Roberta Fusco, 2017, European Radiology Experimental.

Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review

R. Fusco, M. Sansone, A. Petrillo, 2016, Journal of medical and biological engineering.

A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI

Antonella Petrillo, Carlo Sansone, Mario Sansone, 2012, SSPR/SPR.

Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions

Mario Sansone, Roberta Fusco, Antonella Petrillo, 2021 .

An Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2017, ICIAP.

Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review

Carlo Sansone, Mario Sansone, Antonella Petrillo, 2016, Journal of Medical and Biological Engineering.

Breast contrast-enhanced MR imaging: semiautomatic detection of vascular map

Mario Sansone, Roberta Fusco, Antonella Petrillo, 2016, Breast Cancer.

Influence of Parameterization on Tracer Kinetic Modeling in DCE-MRI

Mario Sansone, Roberta Fusco, Antonella Petrillo, 2014 .

Segmentation and classification of breast lesions using dynamic and textural features in Dynamic Contrast Enhanced-Magnetic Resonance Imaging

Antonella Petrillo, Carlo Sansone, Mario Sansone, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

An expectation-maximisation approach for simultaneous pixel classification and tracer kinetic modelling in dynamic contrast enhanced-magnetic resonance imaging

Antonella Petrillo, Mario Sansone, Roberta Fusco, 2011, Medical & Biological Engineering & Computing.

Quantitative Evaluation of Upright Posture by x-Ray and 3D Stereophotogrammetry with a New Marker Set Protocol in Late Onset Pompe Disease.

L. del Viscovo, M. Melone, M. Sansone, 2021, Journal of neuromuscular diseases.

A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI

Stefano Marrone, Carlo Sansone, Mario Sansone, 2021, J. Imaging.

Robustness of Radiomics in Pre-Surgical Computer Tomography of Non-Small-Cell Lung Cancer

S. Marrone, R. Fusco, M. Sansone, 2022, Journal of personalized medicine.

Noises investigations and image denoising in femtosecond stimulated Raman scattering microscopy

M. Ferrara, M. Sansone, G. Costa, 2022, Journal of biophotonics.

Radiomic features of breast parenchyma: assessing differences between FOR PROCESSING and FOR PRESENTATION digital mammography

R. Fusco, M. Sansone, V. Granata, 2021, Insights into Imaging.

DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI

Stefano Marrone, Carlo Sansone, Mario Sansone, 2021, Pattern Recognit. Lett..

Clinical and 3D instrumental assessment of the short-term effect of Sativex on patients with multiple sclerosis

M. Sansone, G. Iolascon, S. Sampaolo, 2019, Gait & Posture.

MRI for Assessing Response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer Using DCE-MR and DW-MR Data Sets: A Preliminary Report

P. Delrio, A. Avallone, R. Fusco, 2015, BioMed research international.

Automatic recognition of vertebral landmarks in fluoroscopic sequences for analysis of intervertebral kinematics

P. Bifulco, M. Cesarelli, M. Bracale, 2006, Medical and Biological Engineering and Computing.

Individual identification via electrocardiogram analysis

Paolo Bifulco, Mario Cesarelli, Mario Sansone, 2015, Biomedical engineering online.

Individual identification using electrocardiogram morphology

Maria Romano, Paolo Bifulco, Gianni D'Addio, 2013, 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Magnetic resonance imaging in the assessment of pancreatic cancer with quantitative parameter extraction by means of dynamic contrast-enhanced magnetic resonance imaging, diffusion kurtosis imaging and intravoxel incoherent motion diffusion-weighted imaging

F. Izzo, S. Curley, G. Botti, 2020, Therapeutic advances in gastroenterology.

Use of Tracer Kinetic Models for Selection of Semi-Quantitative Features for DCE-MRI Data Classification

Mario Sansone, Roberta Fusco, Antonella Petrillo, 2013 .

Effect of X-ray scatter correction on the estimation of attenuation coefficient in mammography: a simulation study

M. Sansone, R. Grassi, Francesco Amato, 2022, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network

Stefano Marrone, Carlo Sansone, Mario Sansone, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

MR imaging perfusion and diffusion analysis to assess preoperative Short Course Radiotherapy response in locally advanced rectal cancer: Standardized Index of Shape by DCE-MRI and intravoxel incoherent motion-derived parameters by DW-MRI

P. Delrio, A. Avallone, R. Fusco, 2017, Medical Oncology.

Diffusion and perfusion MR parameters to assess preoperative short course radiotherapy response in locally advanced rectal cancer: a comparative explorative study among parameters derived from standardized index of shape DCE-MRI, intravoxel incoherent motion and diffusion kurtosis imaging

P. Delrio, R. Grimm, A. Avallone, 2018 .

A Statistical Approach to Assess the Robustness of Radiomics Features in the Discrimination of Mammographic Lesions

M. Sansone, Francesco Amato, A. M. Ponsiglione, 2023, Journal of personalized medicine.

Breast Contrast Enhanced MR Imaging: Semi-Automatic Detection of Vascular Map and Predominant Feeding Vessel

M. Rinaldo, P. Vallone, R. Fusco, 2016, PloS one.

LBP-TOP for Volume Lesion Classification in Breast DCE-MRI

Antonella Petrillo, Carlo Sansone, Mario Sansone, 2015, ICIAP.

A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Automatic Lesion Detection in Breast DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2013, ICIAP.

F. Izzo, S. Curley, G. Botti, 2020, Therapeutic advances in gastroenterology.

Animal-Assisted Therapy as a Non-Pharmacological Approach in Alzheimer’s Disease: A Retrospective Study

M. Sansone, A. Fioretti, A. Santaniello, 2020, Animals : an open access journal from MDPI.

Measurement of Intervertebral Cervical Motion by Means of Dynamic X-Ray Image Processing and Data Interpolation

Maria Romano, Paolo Bifulco, Mario Cesarelli, 2013, Int. J. Biomed. Imaging.

Subject identification via ECG fiducial-based systems: Influence of the type of QT interval correction

Carlo Sansone, Francesco Gargiulo, Mario Sansone, 2015, Comput. Methods Programs Biomed..

D-optimal design of b-values for precise intra-voxel incoherent motion imaging

R. Fusco, M. Sansone, A. Petrillo, 2019, Biomedical physics & engineering express.

D-optimal design of b-values for accurate intra-voxel incoherent motion imaging

R. Fusco, M. Sansone, A. Petrillo, 2016, 1610.00471.

Dynamic contrast-enhanced magnetic resonance imaging , diffusion kurtosis imaging , and intravoxel incoherent motion diffusion-weighted imaging : MRI functional parameters in the assessment of pancreatic cancer

F. Izzo, S. Curley, G. Botti, 2018 .

A geometrical perspective on the 3TP method in DCE-MRI

Antonella Petrillo, Mario Sansone, Roberta Fusco, 2015, Biomed. Signal Process. Control..

3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI

Stefano Marrone, Carlo Sansone, Mario Sansone, 2019, ICIAP.

Data-driven selection of motion correction techniques in breast DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2015, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings.

Selection of Suspicious ROIs in Breast DCE-MRI

Antonella Petrillo, Carlo Sansone, Mario Sansone, 2011, ICIAP.

A secure, scalable and versatile multi-layer client–server architecture for remote intelligent data processing

S. Marrone, M. Sansone, Gabriele Piantadosi, 2015, Journal of Reliable Intelligent Environments.

Changes of Oxytocin and Serotonin Values in Dialysis Patients after Animal Assisted Activities (AAAs) with a Dog—A Preliminary Study

M. Gorny, P. Formisano, M. Sansone, 2019, Animals : an open access journal from MDPI.

Foetal heart rate power spectrum response to uterine contraction

Maria Romano, Paolo Bifulco, Mario Cesarelli, 2006, Medical and Biological Engineering and Computing.

Influence of QT correction on temporal and amplitude features for human identification via ECG

Paolo Bifulco, Mario Cesarelli, Carlo Sansone, 2013, 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications.

Discrimination Power of Short-Term Heart Rate Variability Measures for CHF Assessment

P. Melillo, M. Bracale, L. Pecchia, 2011, IEEE Transactions on Information Technology in Biomedicine.

Look-Up Tables for Efficient Non-Linear Parameters Estimation

Stefano Marrone, Carlo Sansone, Mario Sansone, 2017 .

Antepartum cardiotocography: A study of fetal reactivity in frequency domain

Maria Romano, Paolo Bifulco, Mario Cesarelli, 2006, Comput. Biol. Medicine.

Estimation of out-of-plane vertebra rotations on radiographic projections using CT data: a simulation study.

Paolo Bifulco, Mario Cesarelli, Mario Sansone, 2002, Medical engineering & physics.

Assessment of Standardised Uptake Values in PET Imaging Using Different Software Packages.

P. Bifulco, M. Romano, M. Cesarelli, 2013, Journal of medical imaging and radiation sciences.