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2020 – today
- 2024
[c12]Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
, Toni Lassila:
Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. ISBI 2024: 1-5- 2023
- [j5]Yan Xia, Nishant Ravikumar, Toni Lassila, Alejandro F. Frangi:
Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. Medical Image Anal. 87: 102814 (2023) - [c11]Fergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter K. Jimack, Erica Dall' Armellina, Alejandro F. Frangi:
Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. IPMI 2023: 511-522 - [c10]Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. SASHIMI@MICCAI 2023: 32-41 - [c9]Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI 2023: 164-173 - [i2]Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. CoRR abs/2308.06781 (2023) - [i1]Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Learned Local Attention Maps for Synthesising Vessel Segmentations. CoRR abs/2308.12861 (2023)
2010 – 2019
- 2019
- [c8]Matthias Lange, Toni Lassila, Alejandro F. Frangi:
Predicting Plausible Human Purkinje Network Morphology from Simulations. CinC 2019: 1-4 - 2018
- [j4]Toni Lassila, Luigi Yuri Di Marco, Micaela Mitolo, Vincenzo Iaia, Giorgio Levedianos, Annalena Venneri, Alejandro F. Frangi:
Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation. IEEE Trans. Biomed. Eng. 65(7): 1654-1661 (2018) - [c7]Toni Lassila, Helena M. Faria, Ali Sarrami-Foroushani, Francesca Meneghello, Annalena Venneri, Alejandro F. Frangi:
Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data. MICCAI (3) 2018: 473-481 - 2016
- [j3]Christian Vergara, Matthias Lange, Simone Palamara, Toni Lassila, Alejandro F. Frangi, Alfio Quarteroni:
A coupled 3D-1D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network. J. Comput. Phys. 308: 218-238 (2016) - [j2]Andrea Manzoni, Stefano Pagani, Toni Lassila:
Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models. SIAM/ASA J. Uncertain. Quantification 4(1): 380-412 (2016) - [c6]Ali Sarrami-Foroushani, Toni Lassila, Jose M. Pozo, Ali Gooya, Alejandro F. Frangi:
Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach. MICCAI (3) 2016: 201-209 - 2015
- [c5]Matthias Lange, Simone Palamara, Toni Lassila, Christian Vergara, Alfio Quarteroni, Alejandro F. Frangi:
Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification. FIMH 2015: 430-438 - [c4]Toni Lassila, Matthias Lange, Antonio R. Porras Perez, Karim Lekadir, Xènia Albà, Gemma Piella, Alejandro F. Frangi:
Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network. STACOM@MICCAI 2015: 90-97 - 2012
- [j1]Toni Lassila, Alfio Quarteroni, Gianluigi Rozza:
A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems. SIAM J. Sci. Comput. 34(2) (2012) - [c3]Andrea Manzoni, Toni Lassila, Alfio Quarteroni, Gianluigi Rozza:
A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows. HPSC 2012: 145-155 - 2011
- [c2]Toni Lassila, Andrea Manzoni, Gianluigi Rozza:
Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics. System Modelling and Optimization 2011: 397-406
2000 – 2009
- 2009
- [c1]Timo Eirola, Toni Lassila:
Optimization of Convex Shapes: An Approach to Crystal Shape Identification. SSVM 2009: 660-671
Coauthor Index
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