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Jason Matthew Carson

6PUBLICATIONS

6CO-AUTHORS

Bioinformatic methods developmentPsychosocial aspects of childbirth and perinatal mental healthData structures and algorithmsCondensed matter characterisation technique developmentSystems physiology

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Publications (6)

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|Aug 04, 2020

Artificial intelligence approaches to predict coronary stenosis severity using non-invasive fractional flow reserve.

Jason M Carson, Neeraj Kavan Chakshu, Igor Sazonov

|Dec 05, 2019

Personalising cardiovascular network models in pregnancy: A two-tiered parameter estimation approach.

Jason Carson, Lynne Warrander, Edward Johnstone

|Aug 31, 2019

Computational instantaneous wave-free ratio (IFR) for patient-specific coronary artery stenoses using 1D network models.

Jason M Carson, Carl Roobottom, Robin Alcock

|Jul 18, 2019

Non-invasive coronary CT angiography-derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies.

Jason Matthew Carson, Sanjay Pant, Carl Roobottom

|Mar 07, 2019

A data-driven model to study utero-ovarian blood flow physiology during pregnancy.

Jason Carson, Michael Lewis, Dareyoush Rassi

|Jan 17, 2019

A semi-active human digital twin model for detecting severity of carotid stenoses from head vibration-A coupled computational mechanics and computer vision method.

Neeraj Kavan Chakshu, Jason Carson, Igor Sazonov

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Frequent Collaborators

1 joint publications

Neeraj Kavan Chakshu

1 joint publications

Lynne Warrander

1 joint publications

Edward Johnstone

1 joint publications

Raoul van Loon

1 joint publications

Carlos Alberto Bulant

1 joint publications

Fuyou Liang

Frequent Collaborators

1 joint publications

Neeraj Kavan Chakshu

1 joint publications

Lynne Warrander

1 joint publications

Edward Johnstone

1 joint publications

Raoul van Loon

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