[HTML][HTML] An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - Zeitschrift für Medizinische Physik, 2019 - Elsevier
What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
[HTML][HTML] Methods for cleaning the BOLD fMRI signal
C Caballero-Gaudes, RC Reynolds - Neuroimage, 2017 - Elsevier
Blood oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) has
rapidly become a popular technique for the investigation of brain function in healthy …
rapidly become a popular technique for the investigation of brain function in healthy …
[HTML][HTML] Advances in resting state fMRI acquisitions for functional connectomics
Resting state functional magnetic resonance imaging (rs-fMRI) is based on spontaneous
fluctuations in the blood oxygen level dependent (BOLD) signal, which occur simultaneously …
fluctuations in the blood oxygen level dependent (BOLD) signal, which occur simultaneously …
[HTML][HTML] Correction of respiratory artifacts in MRI head motion estimates
Head motion represents one of the greatest technical obstacles in magnetic resonance
imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion …
imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion …
EEG-informed fMRI: a review of data analysis methods
The simultaneous acquisition of electroencephalography (EEG) with functional magnetic
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
Distinctions among real and apparent respiratory motions in human fMRI data
Head motion estimates in functional magnetic resonance imaging (fMRI) scans appear
qualitatively different with sub-second image sampling rates compared to the multi-second …
qualitatively different with sub-second image sampling rates compared to the multi-second …
Resting state fMRI: Going through the motions
S Maknojia, NW Churchill, TA Schweizer… - Frontiers in …, 2019 - frontiersin.org
Resting state functional magnetic resonance imaging (rs-fMRI) has become an
indispensable tool in neuroscience research. Despite this, rs-fMRI signals are easily …
indispensable tool in neuroscience research. Despite this, rs-fMRI signals are easily …
Customized head molds reduce motion during resting state fMRI scans
Head motion causes artifacts in functional magnetic resonance imaging (fMRI) scans, a
problem especially relevant for task-free resting state paradigms and for developmental …
problem especially relevant for task-free resting state paradigms and for developmental …
The neurobiology of simultaneous interpreting: Where extreme language control and cognitive control intersect
A Hervais-Adelman, L Babcock - Bilingualism: Language and …, 2020 - cambridge.org
Simultaneous interpreting is a complex cognitive task that requires the concurrent execution
of multiple processes: listening, comprehension, conversion of a message from one …
of multiple processes: listening, comprehension, conversion of a message from one …
High-resolution fMRI at 7 Tesla: challenges, promises and recent developments for individual-focused fMRI studies
O Viessmann, JR Polimeni - Current opinion in behavioral sciences, 2021 - Elsevier
Limited detection power has been a bottleneck for subject-specific functional MRI (fMRI)
studies; however, the higher signal-to-noise ratio afforded by ultra-high magnetic fields (≥ 7 …
studies; however, the higher signal-to-noise ratio afforded by ultra-high magnetic fields (≥ 7 …