Gaurav Bhalerao
University of Oxford, National Institute of Mental Health and Neurosciences
Research areas: Medicine · Radiology, Nuclear Medicine and Imaging · Dementia and Cognitive Impairment Research · Advanced MRI Techniques and Applications · Functional Brain Connectivity Studies
About
I am a postdoctoral research associate at the Nuffield Department of Clinical Neurosciences, University of Oxford. My research involves developing tools and algorithms for analysing neuroimaging data from multimodal MRI with a focus on 1) Detection of predictive brain biomarkers using research and clinical datasets, 2) Developing machine learning applications for automated detection and classification, 3) Development of neuroimaging pipelines on data analysis platforms (DPUK, HPC, AWS), 4) Reproducibility and open research practices in neuroimaging.
Employment
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University of Oxford Postdoctoral Research Associate2024 - Present
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University of Oxford Postdoctoral Researcher2022 - 2024
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National Institute of Mental Health and Neuro Sciences Research Fellow2016 - 2022
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- Diagnose Harmonisation (DHARM): An open-source tool for the harmonisation and analysis of batch effects in MRI-derived measures. Save
- Tackling Bias in Cortical Thickness Estimation in UK Biobank Using Harmonisation Approaches Save
- Harmonising Structural Brain MRI from Multiple Sites with Limited Sample Sizes Save
- Automated quality control of T1-weighted brain MRI scans for clinical research datasets: methods comparison and design of a quality prediction classifier Save
- From Big Data to the clinic: methodological and statistical enhancements to implement the UK Biobank imaging framework in a memory clinic Save
- Automated quality control of T1-weighted brain MRI scans for clinical research: methods comparison and design of a quality prediction classifier Save
- Resting-State Functional Connectivity Correlates of Antipsychotic Treatment in Unmedicated Schizophrenia Save
- Sample size requirement for achieving multisite harmonization using structural brain MRI features Save
- Systematic evaluation of the impact of defacing on quality and volumetric assessments on T1-weighted MR-images Save
- Variants of Th17 pathway-related genes influence brain morphometric changes and the risk of schizophrenia through epistatic interactions Save
- Sample size requirement for achieving multisite harmonization using structural brain MRI features Save
- Protocol for magnetic resonance imaging acquisition, quality assurance, and quality check for the Accelerator program for Discovery in Brain disorders using Stem cells Save
- Comparison of electric field modeling pipelines for transcranial direct current stimulation Save
- Altered Resting State Dynamics in Unmedicated First-Episode Schizophrenia: A Multivariate Pattern Analysis Save
- Protocol for Magnetic Resonance Imaging Acquisition, Quality Assurance, and Quality Check for the Accelerator Program for Discovery in Brain Disorders using Stem Cells Save
- Construction of population-specific Indian MRI brain template: Morphometric comparison with Chinese and Caucasian templates. Save
- Personalized Neuromodulation: A Computational Workflow to Guide Noninvasive Clinical Treatment of Neurological and Psychiatric Disorders Save
- Morphological and Texture Based Classification of Dementia from MR Images Save
- Classification of Brain MR Images Using Corpus Callosum Shape Measurements Save
- K-means clustering approach for segmentation of corpus callosum from brain magnetic resonance images Save