Toni Lassila

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 14

Top Topics

Diffusion Model

Methods Can Be Applied

Heterogeneous Data

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

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 (2023)
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)
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 (2023)
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)
Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI (2023)
Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. CoRR (2023)
Matthias Lange, Toni Lassila, Alejandro F. Frangi
Predicting Plausible Human Purkinje Network Morphology from Simulations. CinC (2019)
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)
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) (2018)
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)
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 (2016)
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) (2016)
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)
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)
Andrea Manzoni, Toni Lassila, Alfio Quarteroni, Gianluigi Rozza
A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows. HPSC (2012)
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)
Toni Lassila, Andrea Manzoni, Gianluigi Rozza
Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics. System Modelling and Optimization (2011)
Timo Eirola, Toni Lassila
Optimization of Convex Shapes: An Approach to Crystal Shape Identification. SSVM (2009)