Sandeep S V Golla

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Assistant Professor

Amsterdam UMC Locatie VUmc

Netherlands

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Dr. Sandeep S V Golla is an Assistant Professor at Amsterdam UMC, location VUmc, in the Netherlands. His research focuses on neuroimaging and brain metabolism, particularly in relation to dementia, multiple sclerosis, and cognitive disorders. Recent articles explore topics such as dynamic PET imaging, the amyloid cascade hypothesis, and the neurobiological factors affecting cognitive performance and fatigue post-COVID-19.

Recent Grants

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The neurobiological basis of long term fatigue and cognitive complaints after COVID-19

Open Date: 2021-01-01

Close Date: 2022-01-01

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Artificial intelligence and machine learning for FDG PET/CT re-sponse prediction in diffuse large B cell lymphoma

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Use of AI in Molecular NeuroImaging Studies

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Improved Magnetic Resonance Spectroscopy (MRS) quantifi-cation using deep learning

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Sandeep S V Golla

Research Interests

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Recent Grants

Articles (20)

Dynamic PET imaging in patients with unilateral carotid occlusion shows lateralized cerebral hypoperfusion, but no amyloid binding

Altered brain metabolism in frontotemporal dementia and psychiatric disorders: involvement of the anterior cingulate cortex

An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients

Cognitive performance in multiple sclerosis: what is the role of the gamma-aminobutyric acid system?

Genetically identical twin-pair difference models support the amyloid cascade hypothesis

Head-to-head comparison of relative cerebral blood flow derived from dynamic [<sup>18</sup>F]florbetapir and [<sup>18</sup>F]flortaucipir PET in subjects with subjective cognitive decline

Longitudinal tau PET using <sup>18</sup>F-flortaucipir: the Effect of relative Cerebral Blood Flow on (semi)quantitative parameters

Neurobiological basis and risk factors of persistent fatigue and concentration problems after COVID-19: study protocol for a prospective case-control study (VeCosCO)

Performance of a [<sup>18</sup>F]Flortaucipir PET Visual Read Method Across the Alzheimer Disease Continuum and in Dementia with Lewy Bodies

Sensitivity of an AI method for [<sup>18</sup>F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocols

Validation and test–retest repeatability performance of parametric methods for [11C]UCB-J PET

A head-to-head comparison between plasma pTau181 and tau-PET along the Alzheimer's disease continuum.

Longitudinal change in ATN biomarkers in cognitively normal individuals.

Combatting the effect of image reconstruction settings on lymphoma [<sup>18</sup>F]FDG PET metabolic tumor volume assessment using various segmentation methods.

3D Convolutional Neural Network-Based Denoising of Low-Count Whole-Body 18F-Fluorodeoxyglucose and 89Zr-Rituximab PET Scans.

Genetically identical twins show comparable tau PET load and spatial distribution

Differential associations between neocortical tau pathology and blood flow with cognitive deficits in early-onset vs late-onset Alzheimer's disease.

A scale space theory based motion correction approach for dynamic PET brain imaging studies

Precision estimates of relative and absolute cerebral blood flow in Alzheimer’s disease and cognitively normal individuals

Grey zone amyloid burden affects memory function: the SCIENCe project

Collaborators (9)

Sally Barrington

Josée M. Zijlstra

Tanja Kuut

Andreas Hüttmann

A. den Braber

Albert D. Windhorst

Otto S Hoekstra

L. Jaap Kappelle

Rik Ossenkoppele

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