NS
Nisha Syed Nasser
Also known as: NS Nasser, SN Nisha, N Syed Nasser
National University of Singapore, Nanyang Technological University, Universiti Putra Malaysia, Vydehi Institute of Medical Sciences and Research Centre, CARPL.ai and Mahajan Imaging Private Limited
Employment
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National University of Singapore Research Associate2025 - Present
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Nanyang Technological University Research Associate2023 - 2025
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CARPL.ai and Mahajan Imaging Private Limited Research Scientist2021 - 2023
Education
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Universiti Putra Malaysia Master of Science in Radiology and Imaging2017 - 2019
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Vydehi Institute of Medical Sciences and Research Centre Bachelor of Science - Medical Imaging Technology2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- National identity reconfigures brain responses from “them” to “us” Save
- Exploring neuronal activation during response to rewardutilizing fMRI correlated with simultaneous EEG amongundergraduates having problematic smartphone usage Save
- Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging Save
- Apolipoprotein E-Genotyping and MRI Study for Alzheimer's Disease Classification: PCR-RFLP and Restricted Enzymes AfⅢ for RS429358 and HaeⅡ for RS7412 Save
- Correction to: Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging (Clinical Neuroradiology, (2024), 34, 3, (541-551), 10.1007/s00062-023-01374-z) Save
- Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia Save
- Seed-based morphometry of nodes in the default mode network among patients with Alzheimer’s disease in Klang Valley, Malaysia Save
- Estimation of white matter hyperintensities with synthetic MRI myelin volume fraction in patients with multiple sclerosis and non-multiple-sclerosis white matter hyperintensities: A pilot study among the Indian population Save
- Pediatric fMRI - A cheat sheet for the challenges!! Save
- Prospective evaluation of correlation between liver fat values estimated using a novel HepaFat-Scan PDFF and standard of care - IDEAL-IQ PDFF techniques: Save