Steffen Bollmann

centre for advanced imaging the university of queensland st lucia queensland australia

Australia

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Articles (10)

Year:

2024

Year:

2024

Year:

2023

Year:

2023

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2023

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2022

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2021

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2020

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2020

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2020

Collaborators (14)

Mark M. Schira

University of Wollongong

AUSTRALIA

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Michael Meier

Balgrist University Hospital

SWITZERLAND

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Paul Sowman

Macquarie University

AUSTRALIA

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David Abbott

Head, Neuroinformatics

Florey Institute of Neuroscience and Mental Health

AUSTRALIA

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Lars Marstaller

Bournemouth University - Lansdowne Campus

UNITED KINGDOM

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Markus Barth

AUSTRALIA

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Beáta Bachratá

Professor for Medical Engineering & Analytics

Carinthia University of Applied Sciences

AUSTRIA

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Jason Mattingley

Professor, Foundation Chair in Cognitive Neuroscience

University of Queensland

AUSTRALIA

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Tom Johnstone

Professor

Swinburne University of Technology

AUSTRALIA

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Marcello G. P. Rosa

MONASH UNIVERSITY

AUSTRALIA

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Hana Burianova

Bournemouth University

UNITED KINGDOM

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Franco Pestilli

Associate Professor

University of Texas at Austin

UNITED STATES

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Martijn Cloos

University of Queensland

AUSTRALIA

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Elizabeth Zavitz

MONASH UNIVERSITY

AUSTRALIA

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Steffen Bollmann

Research Interests

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Articles (10)

Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging.

Adiposity associates with lower plasma resolvin E1 (Rve1): a population study

Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3

Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL)

NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data

Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T

Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation

Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analyses.

Towards Optimising MRI Characterisation of Tissue (TOMCAT) Dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data

MRI phase offset correction method impacts quantitative susceptibility mapping.

Collaborators (14)

Mark M. Schira

Michael Meier

Paul Sowman

David Abbott

Lars Marstaller

Markus Barth

Beáta Bachratá

Jason Mattingley

Tom Johnstone

Marcello G. P. Rosa

Hana Burianova

Franco Pestilli

Martijn Cloos

Elizabeth Zavitz

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