N
Nigel H. Lovell
Researcher at University of New South Wales
Publications - 678
Citations - 19383
Nigel H. Lovell is an academic researcher from University of New South Wales. The author has contributed to research in topics: Retinal ganglion & Blood pump. The author has an hindex of 58, co-authored 634 publications receiving 16465 citations. Previous affiliations of Nigel H. Lovell include NICTA & AmeriCorps VISTA.
Papers
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Proceedings ArticleDOI
The unique characteristics of ON and OFF retinal ganglion cells: A modeling study
TL;DR: Using this approach, morphologically-complex retinal neurons such as amacrine cells or RGCs can be modelled and their interactions and processing can be better understood.
Book ChapterDOI
Finite Element Modelling Framework for Electroconvulsive Therapy and Other Transcranial Stimulations
Azam Ahmad Bakir,Siwei Bai,Siwei Bai,Nigel H. Lovell,Donel Martin,Donel Martin,Colleen Loo,Colleen Loo,Socrates Dokos +8 more
TL;DR: A detailed protocol for creating a finite element computational head model for transcranial electrical stimulation is provided, and procedures outlined include image segmentation, white matter anisotropy extraction, meshing and finite element model implementation.
Proceedings ArticleDOI
Convolution based method for calculating inputs from dendritic fields in a continuum model of the retina
TL;DR: A convolution based method is presented to calculate the local spatial average of the effective extracellular loading in retinal ganglion cells (RGCs) in a continuum model of the retina which includes an active RGC tissue layer.
Proceedings ArticleDOI
A generic cardiac biventricular fluid-electromechanics model
TL;DR: A fully-coupled fluid-electromechanics model of the heart using a generic biventricular structure is presented to provide a tool for future multiphysics interaction studies and help formulate better treatments.
Posted ContentDOI
Evidence for ZAP-independent CpG reduction in SARS-CoV-2 genome, and pangolin coronavirus origin of 5’UTR
Ali Afrasiabi,Hamid Alinejad-Rokny,Hamid Alinejad-Rokny,Nigel H. Lovell,Zhenming Xu,Diako Ebrahimi +5 more
TL;DR: Analysis of sequences of a wide range of viruses using both alignment-based and alignment free approaches revealed a high level of similarity between the 5’UTR of SARS-CoV-2 and that of a Guangdong pangolin coronavirus origin.