[1] R. Scuoppo, S. Puleo, G. Sausa, S. Cannata, G. Gentile, J.M. Guccione, G.S. Kassab, C. Gandolfo, S. Pasta, Simulations of left atrial appendage inversion procedure: Patient-specific models with different appendage geometries, Computers in Biology and Medicine, 188 (2025).
[2] R. Scuoppo, S. Castelbuono, S. Cannata, G. Gentile, V. Agnese, D. Bellavia, C. Gandolfo, S. Pasta, Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis, Medical and Biological Engineering and Computing, 63 (2025) 467-482.
[3] V. Sciortino, D. Cerniglia, S. Pasta, A. Cirello, T. Ingrassia, Validating Finite Element Model for Lumbar Spine with Experimental Data, Lecture Notes in Mechanical Engineering, 2025, pp. 135-143.
[4] S. Puleo, G. Diana, S. Pasta, F. Scardulla, L. D’Acquisto, Sensor-Based Bioprosthetic Valve Monitoring: Numerical Simulation and Experimental Design, Lecture Notes in Mechanical Engineering, 2025, pp. 44-51.
[5] S. Pasta, E. La Franca, F. Crascì, G. Gentile, M. Cipriani, F.F. Faletra, Shape of the mitral annulus in normal individuals and dilated cardiomyopathies: computational modeling insights into leaflet stress distribution, Frontiers in Physiology, 16 (2025).
[6] E. Costagliola, S. Pasta, S. Sciacca, F. Musumeci, Virtually-Driven Closure of the Epicardial Left Atrial Appendage with Augmented Reality and Computational Modelling, Lecture Notes in Mechanical Engineering, 2025, pp. 295-302.
[7] C. Catalano, F. Crascì, S. Puleo, R. Scuoppo, S. Pasta, G.M. Raffa, Computational fluid dynamics in cardiac surgery and perfusion: A review, Perfusion (United Kingdom), 40 (2025) 362-370.
[1] R. Scuoppo, C. Catalano, E. Costagliola, S. Cannata, S. Pasta, C. Gandolfo, Augmented Reality and Computational Simulations for the Preprocedural Planning of Transcatheter Aortic Valve Replacement After Previous Transcatheter Mitral Valve Replacement, Biomechanics (Switzerland), 4 (2024) 730-737.
[2] R. Scuoppo, S. Cannata, C. Gandolfo, D. Bellavia, S. Pasta, On the accuracy of the segmentation process and transcatheter heart valve dimensions in TAVI patients, Journal of Biomechanics, 176 (2024).
[3] V. Sciortino, T. Ingrassia, D. Cerniglia, S. Pasta, Statistical Shape Modelling as a Tool for Medical Reverse Engineering, Lecture Notes in Mechanical Engineering, 2024, pp. 215-223.
[4] S. Puleo, S. Pasta, F. Scardulla, L. D’Acquisto, Fluid–Solid Interaction Analysis for Developing In-Situ Strain and Flow Sensors for Prosthetic Valve Monitoring, Sensors, 24 (2024).
[5] A. Gallo, V. Agnese, S. Sciacca, C. Scardulla, M. Cipriani, M. Pilato, J.K. Oh, S. Pasta, J. Maalouf, P.G. Conaldi, D. Bellavia, MicroRNA-30d and -483-3p for bi-ventricular remodelling and miR-126-3p for pulmonary hypertension in advanced heart failure, ESC Heart Failure, 11 (2024) 155-166.
[6] F. Crascì, E. Pajaziti, S. Pasta, L. Swanson, S. Schievano, C. Capelli, Improving Understanding of Cardiovascular Structures: A Workflow to Visualize Patient-Specific Simulations in Virtual Reality, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2024, pp. 110-120.
[7] E. Costagliola, F. Musumeci, C. Gandolfo, M. Pilato, S. Pasta, Merging mixed reality and computational modeling for enhanced visualization of cardiac biomechanics, Medical Engineering and Physics, 134 (2024).
[8] E. Costagliola, E. La Franca, S. Pasta, M. Cipriani, S. Sciacca, F. Musumeci, Augmented Reality–Supported Totally Thoracoscopic Epicardial Left Atrial Appendage Closure in a Patient With Liver Cirrhosis, Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery, 19 (2024) 567-569.
[9] C. Catalano, T. Turgut, O. Zhalka, N. Götzen, S. Cannata, G. Gentile, V. Agnese, C. Gandolfo, S. Pasta, Establishing In-silico Credibility of Patient-Specific Finite-Element Model in a Virtual Cohort, Lecture Notes in Computational Vision and Biomechanics2024, pp. 311-318.
[10] C. Catalano, T. Turgut, O. Zahalka, N. Götzen, S. Cannata, G. Gentile, V. Agnese, C. Gandolfo, S. Pasta, On the Material Constitutive Behavior of the Aortic Root in Patients with Transcatheter Aortic Valve Implantation, Cardiovascular Engineering and Technology, 15 (2024) 95-109.
[1] O. Zahalka, C. Catalano, T. Turgut, N. Götzen, S. Cannata, C. Gandolfo, S. Pasta, Mechanical Properties of Polyamide 12 for the use in Balloon-Expandable Transcatheter Heart Valves, Convegno Nazionale di Bioingegneria, 2023.
[2] R. Scuoppo, S. Cannata, G. Gentile, C. Gandolfo, S. Pasta, Parametric analysis of transcatheter aortic valve replacement in transcatheter aortic valve replacement: evaluation of coronary flow obstruction, Frontiers in Bioengineering and Biotechnology, 11 (2023).
[3] R. Scuoppo, S. Cannata, C. Gandolfo, S. Pasta, Structural Simulation of Transcatheter Heart Valve in Transcatheter Heart Valve, Convegno Nazionale di Bioingegneria, 2023.
[4] V. Sciortino, S. Pasta, T. Ingrassia, D. Cerniglia, On the Finite Element Modeling of the Lumbar Spine: A Schematic Review, Applied Sciences (Switzerland), 13 (2023).
[5] V. Sciortino, D. Cerniglia, S. Pasta, T. Ingrassia, Fractional Calculus as a New Perspective in the Viscoelastic Behaviour of the Intervertebral Disc, Lecture Notes in Civil Engineering, 2023, pp. 915-925.
[6] F. Scardulla, G. Cosoli, S. Spinsante, A. Poli, G. Iadarola, R. Pernice, A. Busacca, S. Pasta, L. Scalise, L. D'Acquisto, Photoplethysmograhic sensors, potential and limitations: Is it time for regulation? A comprehensive review, Measurement: Journal of the International Measurement Confederation, 218 (2023).
[7] S. Pasta, C. Catalano, F. Crascì, R. Scuoppo, A custom-built planar biaxial system for soft tissue material testing, HardwareX, 16 (2023).
[8] S. Pasta, In Silico Analysis of the MitraClip in a Realistic Human Left Heart Model, Prosthesis, 5 (2023) 876-887.
[9] F. Distefano, S. Pasta, G. Epasto, Titanium Lattice Structures Produced via Additive Manufacturing for a Bone Scaffold: A Review, Journal of Functional Biomaterials, 14 (2023).
[10] F. Crascì, S. Cannata, G. Gentile, C. Gandolfo, S. Pasta, Biomechanical performance of the Bicaval Transcatheter System for the treatment of severe tricuspid regurgitation, Frontiers in Bioengineering and Biotechnology, 11 (2023).
[11] F. Crasci, S. Cannata, C. Gandolfo, S. Pasta, Numerical Analysis of the Bicaval Transcatheter System for the Treatment of Severe Tricuspid Regurgitation, Convegno Nazionale di Bioingegneria, 2023.
[12] F. Cosentino, S. Sherifova, G. Sommer, G. Raffa, M. Pilato, S. Pasta, G.A. Holzapfel, Regional biomechanical characterization of human ascending aortic aneurysms: Microstructure and biaxial mechanical response, Acta Biomaterialia, 169 (2023) 107-117.
[13] C. Catalano, S. Cannata, C. Gandolfo, S. Pasta, An Inverse Analysis for the Assessment of Material Properties of TAVI Patients, Convegno Nazionale di Bioingegneria, 2023.
[14] C. Catalano, S. Cannata, C. Gandolfo, S. Pasta, Establishing Computational Modeling Credibility in Patients Undergoing TAVI, Convegno Nazionale di Bioingegneria, 2023.
[15] C. Catalano, S. Cannata, V. Agnese, G. Gentile, C. Gandolfo, S. Pasta, On the spectrum of transcatheter mitral valve replacement: In silico and in vitro assessment of neo-LVOT area in ViR, ViV and ViMAC, Bioprinting, 32 (2023).
[16] M. Baccarella, S. Pasta, Multiscale Modelling of Platelet Activation in Membrane Oxygenation Systems, Convegno Nazionale di Bioingegneria, 2023.
[1] A.D. Wisneski, Y. Wang, S. Cutugno, S. Pasta, A. Stroh, J. Yao, T.C. Nguyen, V.S. Mahadevan, J.M. Guccione, Left Ventricle Biomechanics of Low-Flow, Low-Gradient Aortic Stenosis: A Patient-Specific Computational Model, Frontiers in Physiology, 13 (2022).
[2] V. Sciortino, S. Pasta, T. Ingrassia, D. Cerniglia, A Population-Based 3D Atlas of the Pathological Lumbar Spine Segment, Bioengineering, 9 (2022).
[3] S. Pasta, J.M. Guccione, G.S. Kassab, Inversion of Left Atrial Appendage Will Cause Compressive Stresses in the Tissue: Simulation Study of Potential Therapy, Journal of Personalized Medicine, 12 (2022).
[4] S. Pasta, C. Catalano, S. Cannata, J.M. Guccione, C. Gandolfo, Numerical simulation of transcatheter mitral valve replacement: The dynamic implication of LVOT obstruction in the valve-in-ring case, Journal of Biomechanics, 144 (2022).
[5] C. Catalano, S. Pasta, On the Modeling of Transcatheter Therapies for the Aortic and Mitral Valves: A Review, Prosthesis, 4 (2022) 102-112.
[6] C. Catalano, S. Cannata, V. Agnese, G. Buffa, L. Fratini, S. Pasta, C. Gandolfo, 3D Printing and Computational Modeling for the Evaluation of LVOT obstruction in Transcatheter Mitral Valve Replacement, Procedia CIRP, 2022, pp. 273-278.
[7] C. Catalano, V. Agnese, G. Gentile, G.M. Raffa, M. Pilato, S. Pasta, Atlas-Based Evaluation of Hemodynamic in Ascending Thoracic Aortic Aneurysms, Applied Sciences (Switzerland), 12 (2022).
[1] A.D. Wisneski, S. Cutugno, A. Stroh, S. Pasta, J. Yao, V.S. Mahadevan, J.M. Guccione, From Clinical Imaging to Patient-Specific Computational Model: Rapid Adaptation of the Living Heart Human Model to a Case of Aortic Stenosis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, pp. 373-381.
[2] A. Rinaudo, F. Scardulla, L. D’Acquisto, C. Scardulla, S. Pasta, Modelling cardiac mechanics of left ventricular noncompaction, Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 9 (2021) 166-173.
[3] S. Pasta, C. Gandolfo, Computational Analysis of Self-Expanding and Balloon-Expandable Transcatheter Heart Valves, Biomechanics (Switzerland), 1 (2021) 43-52.
[4] S. Pasta, S. Cannata, G. Gentile, V. Agnese, G.M. Raffa, M. Pilato, C. Gandolfo, Transcatheter heart valve implantation in bicuspid patients with self-expanding device, Bioengineering, 8 (2021).
[5] M. Di Giuseppe, M. Zingales, S. Pasta, S. Avril, In Vitro Measurement of Strain Localization Preceding Dissection of the Aortic Wall Subjected to Radial Tension, Experimental Mechanics, 61 (2021) 119-130.
[6] M. Di Giuseppe, S. Farzaneh, M. Zingales, S. Pasta, S. Avril, Patient-specific computational evaluation of stiffness distribution in ascending thoracic aortic aneurysm, Journal of Biomechanics, 119 (2021).
[7] S. Cutugno, T. Ingrassia, V. Nigrelli, S. Pasta, On the left ventricular remodeling of patients with stenotic aortic valve: A statistical shape analysis, Bioengineering, 8 (2021).
[8] S. Cutugno, V. Agnese, G. Gentile, G.M. Raffa, A.D. Wisneski, J.M. Guccione, M. Pilato, S. Pasta, Patient-specific analysis of ascending thoracic aortic aneurysm with the living heart human model, Bioengineering, 8 (2021).
[9] A. Comelli, N. Dahiya, A. Stefano, V. Benfante, G. Gentile, V. Agnese, G.M. Raffa, M. Pilato, A. Yezzi, G. Petrucci, S. Pasta, Deep learning approach for the segmentation of aneurysmal ascending aorta, Biomedical Engineering Letters, 11 (2021) 15-24.
[1] A.D. Wisneski, Y. Wang, T. Deuse, A.C. Hill, S. Pasta, K.L. Sack, J. Yao, J.M. Guccione, Impact of Aortic Stenosis on Myofiber Stress: Translational Application of Left Ventricle-Aortic Coupling Simulation, Frontiers in Physiology, 11 (2020).
[2] F. Scardulla, L. D’acquisto, R. Colombarini, S. Hu, S. Pasta, D. Bellavia, A study on the effect of contact pressure during physical activity on photoplethysmographic heart rate measurements, Sensors (Switzerland), 20 (2020) 1-15.
[3] G. Romano, S. Magro, V. Agnese, C. Mina, G. Di Gesaro, C. Falletta, S. Pasta, G. Raffa, C.M.H. Baravoglia, G. Novo, C. Gandolfo, F. Clemenza, D. Bellavia, Echocardiography to estimate high filling pressure in patients with heart failure and reduced ejection fraction, ESC Heart Failure, 7 (2020) 2268-2277.
[4] A. Rinaudo, S. Pasta, Development of a self-pumping extracorporeal blood oxygenation device characterized by a rotating shaft with embedded fiber packages, International Journal of Artificial Organs, 43 (2020) 393-400.
[5] G.M. Raffa, S. Pasta, Ascending Aorta Resection and End-to-End Anastomosis: Redistribution of Wall Shear Stress Induced by a Bioprosthetic Heart Valve, Prosthesis, 2 (2020) 297-303.
[6] S. Pasta, C. Gandolfo, Pre-Operative Modeling of Transcatheter Mitral Valve Replacement in a Surgical Heart Valve Bioprosthesis, Prosthesis, 2 (2020) 39-45.
[7] S. Pasta, S. Cannata, G. Gentile, T. Ingrassia, V. Nigrelli, C. Gandolfo, CAD Modeling for Evaluating LVOT Obstruction in Transcatheter Mitral Valve Replacement, Lecture Notes in Mechanical Engineering, 2020, pp. 776-787.
[8] S. Pasta, S. Cannata, G. Gentile, M. Di Giuseppe, F. Cosentino, F. Pasta, V. Agnese, D. Bellavia, G.M. Raffa, M. Pilato, C. Gandolfo, Simulation study of transcatheter heart valve implantation in patients with stenotic bicuspid aortic valve, Medical and Biological Engineering and Computing, 58 (2020) 815-829.
[9] S. Pasta, S. Cannata, G. Gentile, V. Agnese, M. Pilato, C. Gandolfo, Simulation of left ventricular outflow tract (LVOT) obstruction in transcatheter mitral valve-in-ring replacement, Medical Engineering and Physics, 82 (2020) 40-48.
[10] S. Pasta, V. Agnese, A. Gallo, F. Cosentino, M. Di Giuseppe, G. Gentile, G.M. Raffa, J.F. Maalouf, H.I. Michelena, D. Bellavia, P.G. Conaldi, M. Pilato, Shear Stress and Aortic Strain Associations With Biomarkers of Ascending Thoracic Aortic Aneurysm, Annals of Thoracic Surgery, 110 (2020) 1595-1604.
[11] L. La Grutta, P. Toia, E. Grassedonio, S. Pasta, D. Albano, F. Agnello, E. Maffei, F. Cademartiri, T.V. Bartolotta, M. Galia, M. Midiri, TAVI imaging: over the echocardiography, Radiologia Medica, 125 (2020) 1148-1166.
[12] L. D'Acquisto, F. Scardulla, S. Pasta, Steam sterilization processes affect the stability of clinical thermometers: Thermistor and prototypal FBG probe comparison, Optical Fiber Technology, 55 (2020).
[13] F. Cosentino, G.M. Raffa, G. Gentile, V. Agnese, D. Bellavia, M. Pilato, S. Pasta, Statistical shape analysis of ascending thoracic aortic aneurysm: Correlation between shape and biomechanical descriptors, Journal of Personalized Medicine, 10 (2020).
[14] F. Cosentino, M.D. Giuseppe, V. Agnese, G. Gentile, G.M. Raffa, A. Wisneski, J. Guccione, S. Pasta, M. Pilato, On the severity of aortic stenosis in ascending aortic aneurysm: A computational tool to examine ventricular-arterial interaction and aortic wall stress, Mechanics Research Communications, 110 (2020).
[15] D. Bellavia, A. Iacovoni, V. Agnese, C. Falletta, C. Coronnello, S. Pasta, G. Novo, G. di Gesaro, M. Senni, J. Maalouf, S. Sciacca, M. Pilato, M. Simon, F. Clemenza, S.J. Gorcsan, Usefulness of regional right ventricular and right atrial strain for prediction of early and late right ventricular failure following a left ventricular assist device implant: A machine learning approach, International Journal of Artificial Organs, 43 (2020) 297-314.
[16] V. Agnese, S. Pasta, H.I. Michelena, C. Minà, G.M. Romano, S. Carerj, C. Zito, J.F. Maalouf, T.A. Foley, G. Raffa, F. Clemenza, M. Pilato, D. Bellavia, Corrigendum to Patterns of ascending aortic dilatation and predictors of surgical replacement of the aorta: A comparison of bicuspid and tricuspid aortic valve patients over eight years of follow-up “J Mol Cell Cardiol. 2019 Oct;135:31–39. PMID: 31348923” (Journal of Molecular and Cellular Cardiology (2019) 135 (31–39), (S0022282819300495), (10.1016/j.yjmcc.2019.07.010)), Journal of Molecular and Cellular Cardiology, 143 (2020) 159.