Optimization of Convex Shapes: An Approach to Crystal Shape Identification. - Timo Eirola; Toni Lassila (SSVM, 2009)

Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics. - Toni Lassila; Andrea Manzoni; Gianluigi Rozza (System Modelling and Optimization, 2011)

A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows. - Andrea Manzoni; Toni Lassila; Alfio Quarteroni; Gianluigi Rozza (HPSC, 2012)

A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems. - Toni Lassila; Alfio Quarteroni; Gianluigi Rozza (SIAM J. Sci. Comput., 2012)

Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification. - Matthias Lange 002; Simone Palamara; Toni Lassila; Christian Vergara; Alfio Quarteroni; Alejandro F. Frangi (FIMH, 2015)

Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network. - Toni Lassila; Matthias Lange 002; Antonio R. Porras Perez; Karim Lekadir; Xènia Albà; Gemma Piella; Alejandro F. Frangi (STACOM@MICCAI, 2015)

Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach. - Ali Sarrami-Foroushani; Toni Lassila; Jose M. Pozo; Ali Gooya; Alejandro F. Frangi (MICCAI (3), 2016)

A coupled 3D-1D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network. - Christian Vergara; Matthias Lange 002; Simone Palamara; Toni Lassila; Alejandro F. Frangi; Alfio Quarteroni (J. Comput. Phys., 2016)

Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models. - Andrea Manzoni; Stefano Pagani; Toni Lassila (SIAM/ASA J. Uncertain. Quantification, 2016)

Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data. - Toni Lassila; Helena M. Faria; Ali Sarrami-Foroushani; Francesca Meneghello 003; Annalena Venneri; Alejandro F. Frangi (MICCAI (3), 2018)

Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation. - Toni Lassila; Luigi Yuri Di Marco; Micaela Mitolo; Vincenzo Iaia; Giorgio Levedianos; Annalena Venneri; Alejandro F. Frangi (IEEE Trans. Biomed. Eng., 2018)

Predicting Plausible Human Purkinje Network Morphology from Simulations. - Matthias Lange 002; Toni Lassila; Alejandro F. Frangi (CinC, 2019)

Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. - Fergus Shone; Nishant Ravikumar; Toni Lassila; Michael MacRaild; Yongxing Wang; Zeike A. Taylor; Peter K. Jimack; Erica Dall' Armellina; Alejandro F. Frangi (IPMI, 2023)

Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. - Yash Deo; Rodrigo Bonazzola; Haoran Dou; Yan Xia 002; Tianyou Wei; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (SASHIMI@MICCAI, 2023)

Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. - Yash Deo; Haoran Dou; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (DGM4MICCAI, 2023)

Learned Local Attention Maps for Synthesising Vessel Segmentations. - Yash Deo; Rodrigo Bonazzola; Haoran Dou; Yan Xia 002; Tianyou Wei; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (CoRR, 2023)

Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. - Yan Xia 002; Nishant Ravikumar; Toni Lassila; Alejandro F. Frangi (Medical Image Anal., 2023)

Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. - Yash Deo; Fengming Lin; Haoran Dou; Nina Cheng; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (ISBI, 2024)

Solving the long-tailed distribution problem by exploiting the synergies and balance of different techniques. - Ziheng Wang; Toni Lassila; Sharib Ali (CoRR, 2025)

Metrics that matter: Evaluating image quality metrics for medical image generation. - Yash Deo; Yan Jia 008; Toni Lassila; William A. P. Smith; Tom Lawton; Siyuan Kang; Alejandro F. Frangi; Ibrahim Habli (CoRR, 2025)