What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Neuroscience
- Gene
Magnetic resonance imaging, Neuroscience, Nuclear magnetic resonance, Computer vision and Artificial intelligence are her primary areas of study.
Her studies in Magnetic resonance imaging integrate themes in fields like Auditory stimuli, Chloralose, Connectome, Premovement neuronal activity and Hippocampus.
Her Pathology research extends to the thematically linked field of Neuroscience.
Her studies in Pathology integrate themes in fields like Hydrocephalus, Cerebral aqueduct, Hypoplasia and Corticospinal tract.
Her biological study spans a wide range of topics, including Estimation theory, Diffusion MRI, Signal-to-noise ratio, Gaussian noise and Diffusion Kurtosis Imaging.
Her Computer vision research is multidisciplinary, incorporating elements of Imaging phantom, Signal processing, Algorithm and Electroencephalography.
Her most cited work include:
- Estimation of the Noise in Magnitude MR Images (241 citations)
- L1 Knockout Mice Show Dilated Ventricles, Vermis Hypoplasia and Impaired Exploration Patterns (217 citations)
- Proof of concept: enthesitis and new bone formation in spondyloarthritis are driven by mechanical strain and stromal cells (217 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Neuroscience, Magnetic resonance imaging, Pathology, In vivo and Songbird.
Her Neuroscience study frequently draws connections between related disciplines such as Anatomy.
Marleen Verhoye combines subjects such as Nuclear magnetic resonance and Artificial intelligence with her study of Magnetic resonance imaging.
Her Artificial intelligence study combines topics from a wide range of disciplines, such as Signal, Noise and Pattern recognition.
Her Pathology study frequently draws connections between adjacent fields such as Diffusion MRI.
Marleen Verhoye has researched Diffusion MRI in several fields, including Neuroimaging and Computer vision.
She most often published in these fields:
- Neuroscience (39.25%)
- Magnetic resonance imaging (25.81%)
- Pathology (16.67%)
What were the highlights of her more recent work (between 2017-2021)?
- Neuroscience (39.25%)
- Resting state fMRI (7.53%)
- Default mode network (3.23%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Neuroscience, Resting state fMRI, Default mode network, Neuroplasticity and Songbird.
Her research on Neuroscience often connects related topics like Disease.
Her study focuses on the intersection of Resting state fMRI and fields such as Cognition with connections in the field of Voxel, Functional magnetic resonance imaging, Quantitative proteomics and Proteomics.
Functional magnetic resonance imaging and Magnetic resonance imaging are frequently intertwined in her study.
Her Neuroplasticity study incorporates themes from Cerebellum, Cerebrum, Diffusion MRI, Brain size and Song control system.
Her research in Neural substrate focuses on subjects like Imitation, which are connected to In vivo.
Between 2017 and 2021, her most popular works were:
- Dynamic resting state fMRI analysis in mice reveals a set of Quasi-Periodic Patterns and illustrates their relationship with the global signal (33 citations)
- Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology (30 citations)
- Early functional connectivity deficits and progressive microstructural alterations in the TgF344-AD rat model of Alzheimer's Disease: A longitudinal MRI study. (19 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Neuroscience
- Gene
Her scientific interests lie mostly in Neuroscience, Diffusion MRI, Resting state fMRI, Pathology and Fractional anisotropy.
Her Neuroscience investigation overlaps with other areas such as Neurochemistry and Songbird.
Her study in the fields of Diffusion Kurtosis Imaging under the domain of Diffusion MRI overlaps with other disciplines such as Cognitive decline.
Her research in Resting state fMRI intersects with topics in Amyloidosis, Default mode network, Regression and Tauopathy.
In her work, Morris water navigation task is strongly intertwined with Traumatic brain injury, which is a subfield of Pathology.
Her study with Fractional anisotropy involves better knowledge in Magnetic resonance imaging.
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