| 4-D flow MRI-based computational analysis of blood flow in patient-specific aortic dissection S Pirola, B Guo, C Menichini, S Saitta, W Fu, Z Dong, XY Xu IEEE transactions on biomedical engineering 66 (12), 3411-3419, 2019 | 78 | 2019 |
| The influence of inlet velocity profile on predicted flow in type B aortic dissection CH Armour, B Guo, S Pirola, S Saitta, Y Liu, Z Dong, XY Xu Biomechanics and modeling in mechanobiology 20, 481-490, 2021 | 71 | 2021 |
| Evaluation of 4D flow MRI-based non-invasive pressure assessment in aortic coarctations S Saitta, S Pirola, F Piatti, E Votta, F Lucherini, F Pluchinotta, M Carminati, ... Journal of biomechanics 94, 13-21, 2019 | 51 | 2019 |
| Evaluation and verification of patient-specific modelling of type B aortic dissection CH Armour, B Guo, S Saitta, S Pirola, Y Liu, Z Dong, XY Xu Computers in biology and medicine 140, 105053, 2022 | 36 | 2022 |
| Aortic hemodynamics assessment prior and after valve sparing reconstruction: A patient-specific 4D flow-based FSI model G Nannini, A Caimi, MC Palumbo, S Saitta, LN Girardi, M Gaudino, ... Computers in Biology and Medicine 135, 104581, 2021 | 32 | 2021 |
| A deep learning-based and fully automated pipeline for thoracic aorta geometric analysis and planning for endovascular repair from computed tomography S Saitta, F Sturla, A Caimi, A Riva, MC Palumbo, G Nano, E Votta, ... Journal of digital imaging 35 (2), 226-239, 2022 | 31 | 2022 |
| Comparison of four‐dimensional magnetic resonance imaging analysis of left ventricular fluid dynamics and energetics in ischemic and restrictive cardiomyopathies A Riva, F Sturla, S Pica, A Camporeale, L Tondi, S Saitta, A Caimi, ... Journal of Magnetic Resonance Imaging 56 (4), 1157-1170, 2022 | 18 | 2022 |
| A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning S Saitta, F Sturla, R Gorla, OA Oliva, E Votta, F Bedogni, A Redaelli Computers in Biology and Medicine 163, 107147, 2023 | 15 | 2023 |
| Mixed reality and deep learning for external ventricular drainage placement: A fast and automatic workflow for emergency treatments MC Palumbo, S Saitta, M Schiariti, MC Sbarra, E Turconi, G Raccuia, J Fu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
| Qualitative and quantitative assessments of blood flow on tears in type B aortic dissection with different morphologies S Saitta, B Guo, S Pirola, C Menichini, D Guo, Y Shan, Z Dong, XY Xu, ... Frontiers in Bioengineering and Biotechnology 9, 742985, 2021 | 12 | 2021 |
| Data-driven generation of 4D velocity profiles in the aneurysmal ascending aorta S Saitta, L Maga, C Armour, E Votta, DP O’Regan, MY Salmasi, ... Computer Methods and Programs in Biomedicine 233, 107468, 2023 | 11 | 2023 |
| Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI S Saitta, M Carioni, S Mukherjee, CB Schönlieb, A Redaelli Computer methods and programs in biomedicine 246, 108057, 2024 | 9 | 2024 |
| A fully automated deep learning approach for coronary artery segmentation and comprehensive characterization G Nannini, S Saitta, A Baggiano, R Maragna, S Mushtaq, G Pontone, ... APL bioengineering 8 (1), 2024 | 8 | 2024 |
| The role of multiple re-entry tears in type b aortic dissection progression: A longitudinal study using a controlled swine model C Armour, B Guo, S Saitta, D Guo, Y Liu, W Fu, Z Dong, XY Xu Journal of Endovascular Therapy 31 (1), 104-114, 2024 | 8 | 2024 |
| An automated and time-efficient framework for simulation of coronary blood flow under steady and pulsatile conditions G Nannini, S Saitta, L Mariani, R Maragna, A Baggiano, S Mushtaq, ... Computer Methods and Programs in Biomedicine 257, 108415, 2024 | 6 | 2024 |
| A deep learning-based fully automated pipeline for regurgitant mitral valve anatomy analysis from 3D echocardiography R Munafò, S Saitta, G Ingallina, P Denti, F Maisano, E Agricola, A Redaelli, ... IEEE Access 12, 5295-5308, 2024 | 4 | 2024 |
| Quantification of paravalvular leaks associated with TAVI implants using 4D MRI in an aortic root phantom made possible by the use of 3D printing P Aigner, E Sella Bart, S Panfili, T Körner, M Mach, M Andreas, ... Frontiers in Cardiovascular Medicine 10, 1083300, 2023 | 3 | 2023 |
| Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models G Nannini, J Suk, P Rygiel, S Saitta, L Mariani, R Maragna, A Baggiano, ... arXiv preprint arXiv:2501.09046, 2025 | 2 | 2025 |
| Automatic 4D mitral valve segmentation from transesophageal echocardiography: a semi-supervised learning approach R Munafò, S Saitta, D Tondi, G Ingallina, P Denti, F Maisano, E Votta Medical & Biological Engineering & Computing, 1-16, 2025 | 1 | 2025 |
| Left ventricle diastolic vortex ring characterization in ischemic cardiomyopathy: insight into atrio-ventricular interplay A Riva, S Saitta, F Sturla, G Disabato, L Tondi, A Camporeale, D Giese, ... Medical & Biological Engineering & Computing 62 (12), 3671-3685, 2024 | 1 | 2024 |
Alberto RedaelliPolitecnico di MilanoEmail confirmado em polimi.it
