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Ilona Lipp
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Can MRI measure myelin? Systematic review, qualitative assessment, and meta-analysis of studies validating microstructural imaging with myelin histology
A Lazari, I Lipp
Neuroimage 230, 117744, 2021
1292021
Agreement and repeatability of vascular reactivity estimates based on a breath-hold task and a resting state scan
I Lipp, K Murphy, X Caseras, RG Wise
Neuroimage 113, 387-396, 2015
712015
A critical review of white matter changes in Huntington’s disease
C Casella, I Lipp, A Rosser, DK Jones, C Metzler‐Baddeley
Movement Disorders 35 (8), 1302-1311, 2020
532020
Investigating neural efficiency in the visuo-spatial domain: an FMRI study
I Lipp, M Benedek, A Fink, K Koschutnig, G Reishofer, S Bergner, ...
PloS one 7 (12), e51316, 2012
532012
Understanding the contribution of neural and physiological signal variation to the low repeatability of emotion-induced BOLD responses
I Lipp, K Murphy, RG Wise, X Caseras
Neuroimage 86, 335-342, 2014
502014
Comparing MRI metrics to quantify white matter microstructural damage in multiple sclerosis
I Lipp, DK Jones, S Bells, E Sgarlata, C Foster, R Stickland, AE Davidson, ...
Human brain mapping 40 (10), 2917-2932, 2019
462019
Tractography in the presence of multiple sclerosis lesions
I Lipp, GD Parker, EC Tallantyre, A Goodall, S Grama, E Patitucci, ...
NeuroImage 209, 116471, 2020
422020
Neuroplasticity and motor rehabilitation in multiple sclerosis
I Lipp, V Tomassini
Frontiers in Neurology 6, 135578, 2015
412015
q-Space novelty detection with variational autoencoders
A Vasilev, V Golkov, M Meissner, I Lipp, E Sgarlata, V Tomassini, ...
Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019 …, 2020
302020
Mechanisms of network changes in cognitive impairment in multiple sclerosis
D Jandric, I Lipp, D Paling, D Rog, G Castellazzi, H Haroon, L Parkes, ...
Neurology 97 (19), e1886-e1897, 2021
182021
The relationship between fearfulness, GABA+, and fear-related BOLD responses in the insula
I Lipp, CJ Evans, C Lewis, K Murphy, RG Wise, X Caseras
PLoS One 10 (3), e0120101, 2015
182015
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting
CM Pirk, PA Gómez, I Lipp, G Buonincontri, M Molina-Romero, ...
Medical Imaging with Deep Learning, 638-654, 2020
142020
Microscopy-BIDS: an extension to the brain imaging data structure for microscopy data
MH Bourget, L Kamentsky, SS Ghosh, G Mazzamuto, A Lazari, ...
Frontiers in Neuroscience 16, 871228, 2022
132022
Predictors of training-related improvement in visuomotor performance in patients with multiple sclerosis: A behavioural and MRI study
I Lipp, C Foster, R Stickland, E Sgarlata, EC Tallantyre, AE Davidson, ...
Multiple Sclerosis Journal 27 (7), 1088-1101, 2021
132021
Deep learning-enabled diffusion tensor MR fingerprinting
CM Pirkl, I Lipp, G Buonincontri, M Molina-Romero, A Sekuboyina, ...
Proc. 27th Annu. Meet (ISMRM), 1102, 2019
82019
A fMRI pre-registration template
F Beyer, J Flannery, R Gau, L Janssen, L Schaare, H Hartmann, ...
PsychArchives, 2021
72021
Sourcing high tissue quality brains from deceased wild primates with known socio‐ecology
T Gräßle, C Crockford, C Eichner, C Girard‐Buttoz, C Jäger, E Kirilina, ...
Methods in Ecology and Evolution 14 (8), 1906-1924, 2023
52023
q-space novelty detection with variational autoencoders. arxiv 2018
A Vasilev, V Golkov, I Lipp, E Sgarlata, V Tomassini, DK Jones, ...
arXiv preprint arXiv:1806.02997, 1806
41806
B 1+ B _1^+‐correction of magnetization transfer saturation maps optimized for 7T postmortem MRI of the brain
I Lipp, E Kirilina, LJ Edwards, KJ Pine, C Jäger, T Gräßle, ...
Magnetic Resonance in Medicine 89 (4), 1385-1400, 2023
32023
A tractometry principal component analysis of white matter tract network structure and relationships with cognitive function in relapsing-remitting multiple sclerosis
D Jandric, GJM Parker, H Haroon, V Tomassini, N Muhlert, I Lipp
NeuroImage: Clinical 34, 102995, 2022
32022
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