Toni Lassila

Toni Lassila

University of Leeds

H-index: 18

Europe-United Kingdom

About Toni Lassila

Toni Lassila, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Leeds,

His recent articles reflect a diverse array of research interests and contributions to the field:

Accelerated simulation methodologies for computational vascular flow modelling

Learned local attention maps for synthesising vessel segmentations from t2 mri

Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study

Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials

Deep physics-informed super-resolution of cardiac 4D-flow MRI

Shape-guided conditional latent diffusion models for synthesising brain vasculature

In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials

Population‐specific modelling of between/within‐subject flow variability in the carotid arteries of the elderly

Toni Lassila Information

University

Position

Lecturer at

Citations(all)

1700

Citations(since 2020)

994

Cited By

1109

hIndex(all)

18

hIndex(since 2020)

15

i10Index(all)

25

i10Index(since 2020)

19

Email

University Profile Page

University of Leeds

Google Scholar

View Google Scholar Profile

Top articles of Toni Lassila

Title

Journal

Author(s)

Publication Date

Accelerated simulation methodologies for computational vascular flow modelling

Michael MacRaild

Ali Sarrami-Foroushani

Toni Lassila

Alejandro F Frangi

2024/2/14

Learned local attention maps for synthesising vessel segmentations from t2 mri

Yash Deo

Rodrigo Bonazzola

Haoran Dou

Yan Xia

Tianyou Wei

...

2023/10/7

Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study

APL bioengineering

Qiongyao Liu

Ali Sarrami-Foroushani

Yongxing Wang

Michael MacRaild

Christopher Kelly

...

2023/9/1

Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials

Medical Image Analysis

Yan Xia

Nishant Ravikumar

Toni Lassila

Alejandro F Frangi

2023/7/1

Deep physics-informed super-resolution of cardiac 4D-flow MRI

Fergus Shone

Nishant Ravikumar

Toni Lassila

Michael MacRaild

Yongxing Wang

...

2023/6/8

Shape-guided conditional latent diffusion models for synthesising brain vasculature

Yash Deo

Haoran Dou

Nishant Ravikumar

Alejandro F Frangi

Toni Lassila

2023/10/8

In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials

Nature Communications

Ali Sarrami-Foroushani

Toni Lassila

Michael MacRaild

Joshua Asquith

Kit CB Roes

...

2021/6/23

Population‐specific modelling of between/within‐subject flow variability in the carotid arteries of the elderly

International journal for numerical methods in biomedical engineering

Toni Lassila

Ali Sarrami‐Foroushani

SeyedMostafa Hejazi

Alejandro F Frangi

2020/1

See List of Professors in Toni Lassila University(University of Leeds)

Co-Authors

H-index: 77
Alejandro F Frangi

Alejandro F Frangi

University of Leeds

H-index: 58
Gianluigi Rozza

Gianluigi Rozza

Scuola Internazionale Superiore di Studi Avanzati

H-index: 34
Dede' Luca

Dede' Luca

Politecnico di Milano

H-index: 32
Ricardo Ruiz Baier

Ricardo Ruiz Baier

Monash University

H-index: 28
Zeike A. Taylor

Zeike A. Taylor

University of Leeds

H-index: 27
Simone Deparis

Simone Deparis

École Polytechnique Fédérale de Lausanne

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