Items where authors include "Lassila, T"

Article

Liu, Q, Sarrami-Foroushani, A, Wang, Y orcid.org/0000-0002-5673-042X et al. (10 more authors) (2023) Hemodynamics of thrombus formation in intracranial aneurysms: an in-silico observational study. APL Bioengineering, 7 (3). 036102. ISSN 2473-2877

Xia, Y, Ravikumar, N, Lassila, T orcid.org/0000-0001-8947-1447 et al. (1 more author) (2023) Generating virtual patients of high-resolution MR angiography from non-angiographic multi-contrast MRIs for In-silico trials. Medical Image Analysis, 87. 102814. ISSN 1361-8415

Sarrami-Foroushani, A, Lassila, T orcid.org/0000-0001-8947-1447, Macraild, M et al. (4 more authors) (2021) In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials. Nature Communications, 12. 3861. ISSN 2041-1723

Lassila, T orcid.org/0000-0001-8947-1447, Sarrami-Foroushani, A, Hejazi, S et al. (1 more author) (2020) Population‐specific modelling of between/within‐subject flow variability in the carotid arteries of the elderly. International Journal for Numerical Methods in Biomedical Engineering, 36 (1). e3271. ISSN 2040-7939

Vardakis, JC, Bonfanti, M, Franzetti, G et al. (14 more authors) (2019) Highly integrated workflows for exploring cardiovascular conditions: Exemplars of precision medicine in Alzheimer's disease and aortic dissection. Morphologie, 103 (343). pp. 148-160. ISSN 1286-0115

Vardakis, JC, Guo, L, Peach, TW et al. (8 more authors) (2019) Fluid–structure interaction for highly complex, statistically defined, biological media: Homogenisation and a 3D multi-compartmental poroelastic model for brain biomechanics. Journal of Fluids and Structures, 91. 102641. ISSN 0889-9746

Sarrami-Foroushani, A, Lassila, T orcid.org/0000-0001-8947-1447, Hejazi, SM et al. (3 more authors) (2019) A computational model for prediction of clot platelet content in flow-diverted intracranial aneurysms. Journal of Biomechanics, 91. pp. 7-13. ISSN 0021-9290

Lassila, T orcid.org/0000-0001-8947-1447, Marco, LYD, Mitolo, M et al. (4 more authors) (2018) Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation. IEEE Transactions on Biomedical Engineering, 65 (7). pp. 1654-1661. ISSN 0018-9294

Guo, L, Vardakis, JC, Lassila, T et al. (11 more authors) (2018) Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease. Interface Focus, 8 (1). ARTN 20170019. ISSN 2042-8898

Sarrami-Foroushani, A, Lassila, T orcid.org/0000-0001-8947-1447 and Frangi, AF orcid.org/0000-0002-2675-528X (2017) Virtual endovascular treatment of intracranial aneurysms: models and uncertainty. WIREs: Systems Biology and Medicine, 9 (4). e1385. ISSN 1939-5094

Lange, M, Palamara, S, Lassila, T orcid.org/0000-0001-8947-1447 et al. (3 more authors) (2017) Improved hybrid/GPU algorithm for solving cardiac electrophysiology problems on Purkinje networks. International Journal for Numerical Methods in Biomedical Engineering, 33 (6). e2835. ISSN 2040-7939

Patelli, AS, Dedè, L, Lassila, T orcid.org/0000-0001-8947-1447 et al. (2 more authors) (2017) Isogeometric approximation of cardiac electrophysiology models on surfaces: An accuracy study with application to the human left atrium. Computer Methods in Applied Mechanics and Engineering, 317. C. pp. 248-273. ISSN 0045-7825

Quarteroni, A, Lassila, T orcid.org/0000-0001-8947-1447, Rossi, S et al. (1 more author) (2017) Integrated Heart—Coupling multiscale and multiphysics models for the simulation of the cardiac function. Computer Methods in Applied Mechanics and Engineering, 314. pp. 345-407. ISSN 0045-7825

Sarrami-Foroushani, A, Lassila, T orcid.org/0000-0001-8947-1447, Gooya, A et al. (2 more authors) (2016) Uncertainty quantification of wall shear stress in intracranial aneurysms using a data-driven statistical model of systemic blood flow variability. Journal of Biomechanics, 49 (16). pp. 3815-3823. ISSN 0021-9290

Manzoni, A, Pagani, S and Lassila, T orcid.org/0000-0001-8947-1447 (2016) Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models. SIAM/ASA Journal on Uncertainty Quantification, 4 (1). pp. 380-412. ISSN 2166-2525

Vergara, C, Lange, M, Palamara, S et al. (3 more authors) (2016) A coupled 3D–1D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network. Journal of Computational Physics, 308. pp. 218-238. ISSN 0021-9991

Lange, M, Di Marco, LY, Lekadir, K et al. (2 more authors) (2016) Protective Role of False Tendon in Subjects with Left Bundle Branch Block: A Virtual Population Study. PLOS ONE, 11 (1). ARTN e0146477. e0146477-e0146477. ISSN 1932-6203

Rossi, S, Lassila, T orcid.org/0000-0001-8947-1447, Ruiz-Baier, R et al. (2 more authors) (2014) Thermodynamically consistent orthotropic activation model capturing ventricular systolic wall thickening in cardiac electromechanics. European Journal of Mechanics - A/Solids, 48. pp. 129-142. ISSN 0997-7538

Book Section

Lassila, T orcid.org/0000-0001-8947-1447, Manzoni, A, Quarteroni, A et al. (1 more author) (2014) Model Order Reduction in Fluid Dynamics: Challenges and Perspectives. In: Quarteroni, A and Rozza, G, (eds.) Reduced Order Methods for Modeling and Computational Reduction. MS&A - Modeling, Simulation and Applications, 9 . Springer , Cham, Germany , pp. 235-273. ISBN 978-3-319-02089-1

Proceedings Paper

Shone, F, Ravikumar, N, Lassila, T orcid.org/0000-0001-8947-1447 et al. (6 more authors) (2023) Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. In: Information Processing in Medical Imaging. Information Processing in Medical Imaging (IPMI 2023), 18-23 Jun 2023, San Carlos de Bariloche, Argentina. Lecture Notes in Computer Science . Springer , pp. 511-522. ISBN 978-3-031-34047-5

Lange, M, Lassila, T orcid.org/0000-0001-8947-1447 and Frangi, AF (2019) Predicting Plausible Human Purkinje Network Morphology from Simulations. In: Proceedings of the 2019 International Conference in Computing in Cardiology (CinC 2019). CinC 2019, 08-11 Sep 2019, Singapore. IEEE . ISBN 9781728169361

Lassila, T orcid.org/0000-0001-8947-1447, Faria, HM, Sarrami-Foroushani, A et al. (3 more authors) (2018) Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data. In: Frangi, AF, Schnabel, JA, Davatzikos,, C, Alberola-López,, C and Fichtinger, G, (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018: 21st International Conference on Medical Image Computing and Computer Assisted Intervention, 16-20 Sep 2018, Granada, Spain. Springer , pp. 473-481. ISBN 978-3-030-00930-4

Sarrami-Foroushani, A, Lassila, T orcid.org/0000-0001-8947-1447, Pozo, JM et al. (2 more authors) (2016) Direct estimation of wall shear stress from aneurysmal morphology: A statistical approach. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016, 17-21 Oct 2016, Athens, Greece. Springer, Cham , pp. 201-209. ISBN 9783319467252

Lassila, T orcid.org/0000-0001-8947-1447, Lange, M, Porras Perez, AR et al. (4 more authors) (2016) Electrophysiology model for a human heart with ischemic scar and realistic Purkinje network. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). STACOM 2015, 09 Oct 2015, Munich, Germany. Springer Verlag , pp. 90-97. ISBN 9783319287119

Lange, M, Palamara, S, Lassila, T orcid.org/0000-0001-8947-1447 et al. (3 more authors) (2015) Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification. In: Lecture Notes in Artificial Intelligence. FIMH 2015: 8th International Conference on Functional Imaging and Modeling of the Heart, 25-27 Jun 2015, Maastricht, The Netherlands. Springer , pp. 430-438. ISBN 978-3-319-20308-9