Toni Lassila - RankMe

22 papers Misc 1Journal 10Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models. CoRR Yash Deo, Yan Jia, Toni Lassila, Victoria J. Hodge, Alejandro F. Frangi, Chenghao Qian, Siyuan Kang, Ibrahim Habli
2025	J	`jnl`	Metrics that matter: Evaluating image quality metrics for medical image generation. CoRR Yash Deo, Yan Jia, Toni Lassila, William A. P. Smith, Tom Lawton, Siyuan Kang, Alejandro F. Frangi, Ibrahim Habli
2025	J	`jnl`	Solving the long-tailed distribution problem by exploiting the synergies and balance of different techniques. CoRR Ziheng Wang, Toni Lassila, Sharib Ali
2024	—	`conf`	Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. ISBI Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	—	`conf`	Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. IPMI Fergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter K. Jimack, Erica Dall' Armellina, Alejandro F. Frangi
2023	—	`conf`	Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. SASHIMI@MICCAI Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	J	`jnl`	Learned Local Attention Maps for Synthesising Vessel Segmentations. CoRR Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	—	`conf`	Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	J	`jnl`	Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. CoRR Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	J	`jnl`	Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. Medical Image Anal. Yan Xia, Nishant Ravikumar, Toni Lassila, Alejandro F. Frangi
2019	—	`conf`	Predicting Plausible Human Purkinje Network Morphology from Simulations. CinC Matthias Lange, Toni Lassila, Alejandro F. Frangi
2018	—	`conf`	Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data. MICCAI (3) Toni Lassila, Helena M. Faria, Ali Sarrami-Foroushani, Francesca Meneghello, Annalena Venneri, Alejandro F. Frangi
2018	J	`jnl`	Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation. IEEE Trans. Biomed. Eng. Toni Lassila, Luigi Yuri Di Marco, Micaela Mitolo, Vincenzo Iaia, Giorgio Levedianos, Annalena Venneri, Alejandro F. Frangi
2016	J	`jnl`	A coupled 3D-1D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network. J. Comput. Phys. Christian Vergara, Matthias Lange, Simone Palamara, Toni Lassila, Alejandro F. Frangi, Alfio Quarteroni
2016	J	`jnl`	Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models. SIAM/ASA J. Uncertain. Quantification Andrea Manzoni, Stefano Pagani, Toni Lassila
2016	—	`conf`	Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach. MICCAI (3) Ali Sarrami-Foroushani, Toni Lassila, Jose M. Pozo, Ali Gooya, Alejandro F. Frangi
2015	—	`conf`	Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification. FIMH Matthias Lange, Simone Palamara, Toni Lassila, Christian Vergara, Alfio Quarteroni, Alejandro F. Frangi
2015	—	`conf`	Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network. STACOM@MICCAI Toni Lassila, Matthias Lange, Antonio R. Porras Perez, Karim Lekadir, Xènia Albà, Gemma Piella, Alejandro F. Frangi
2012	J	`jnl`	A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems. SIAM J. Sci. Comput. Toni Lassila, Alfio Quarteroni, Gianluigi Rozza
2012	Misc	`conf`	A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows. HPSC Andrea Manzoni, Toni Lassila, Alfio Quarteroni, Gianluigi Rozza
2011	—	`conf`	Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics. System Modelling and Optimization Toni Lassila, Andrea Manzoni, Gianluigi Rozza
2009	—	`conf`	Optimization of Convex Shapes: An Approach to Crystal Shape Identification. SSVM Timo Eirola, Toni Lassila