Toni Lassila - researchr alias

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Viewing Publication 1 - 16 from 16

2023

Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trialsYan Xia 0002, Nishant Ravikumar, Toni Lassila, Alejandro F. Frangi. mia, 87:102814, 2023. [doi]

Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain VasculatureYash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila. miccai 2024: 164-173 [doi]

Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRIYash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia 0002, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila. sashimi-ws 2023: 32-41 [doi]

Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRIFergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter K. Jimack, Erica Dall' Armellina, Alejandro F. Frangi. ipmi 2023: 511-522 [doi]

2019

Predicting Plausible Human Purkinje Network Morphology from SimulationsMatthias Lange 0002, Toni Lassila, Alejandro F. Frangi. cinc 2019: 1-4 [doi]

2018

Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow EstimationToni Lassila, Luigi Yuri Di Marco, Micaela Mitolo, Vincenzo Iaia, Giorgio Levedianos, Annalena Venneri, Alejandro F. Frangi. tbe, 65(7):1654-1661, 2018. [doi]

Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous DataToni Lassila, Helena M. Faria, Ali Sarrami-Foroushani, Francesca Meneghello, Annalena Venneri, Alejandro F. Frangi. miccai 2018: 473-481 [doi]

2016

2015

Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and VerificationMatthias Lange, Simone Palamara, Toni Lassila, Christian Vergara, Alfio Quarteroni, Alejandro F. Frangi. fimh 2015: 430-438 [doi]

Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje NetworkToni Lassila, Matthias Lange, Antonio R. Porras Perez, Karim Lekadir, Xènia Albà, Gemma Piella, Alejandro F. Frangi. miccai 2016: 90-97 [doi]

2012

A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction ProblemsToni Lassila, Alfio Quarteroni, Gianluigi Rozza. siamsc, 34(2), 2012. [doi]

A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological FlowsAndrea Manzoni, Toni Lassila, Alfio Quarteroni, Gianluigi Rozza. hpsc 2014: 145-155 [doi]

2011

Reduction Strategies for Shape Dependent Inverse Problems in HaemodynamicsToni Lassila, Andrea Manzoni, Gianluigi Rozza. ifip7 2013: 397-406 [doi]

2009

Optimization of Convex Shapes: An Approach to Crystal Shape IdentificationTimo Eirola, Toni Lassila. scalespace 2009: 660-671 [doi]

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