One picture is worth a thousand words;
one brain image tells us a million beautiful secrets.
”
Assoc Prof QIU Anqi
PhD, MSc (Johns Hopkins University);
MSc (University of Connecticut);
BSc (Tsinghua University)
Department of Biomedical Engineering
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- Neuroimage and cognitive neuroscience
- Imaging genetics
- Computer vision and pattern recognition
- Developed advanced magnetic resonance
imaging (MRI) analysis techniques which
offer a deeper understanding of the brain’s
anatomy and function
- Innovated computational analyses
of complex and informative datasets
comprising disease phenotypes and
neuroimages to understand the origins of
individual differences in health throughout
the human lifespan
- Pioneered paediatric neuroimaging
research and discovered transgenerational
transmission of maternal mental health
to offspring during foetal life in humans,
highlighting significant impact of
quantitative medicine on clinical prevention
- Co-owns three pending patents on medical imaging analysis
- Secured grants from various sources
including Agency for Science, Technology
and Research; Ministry of Health; and
National Medical Research Council, valued at
more than $7 million
- Ingeniously integrates mathematics,
engineering approaches, neuroscience and
genetics into translational clinical research
- Engages in collaborative efforts with
medical practitioners to create programmes
that are successful in real-world situations
- Published more than 90 papers in leading
scientific journals such as IEEE Transactions on Medical Image and Image Processing,
American Journal of Psychiatry and Biological Psychiatry
- Obtained over 2,300 research citations
- Delivered invited talks at international conferences and prestigious universities
- Guest Associate Editor and Associate Editor
at leading biomedical journals Frontiers in
Brain Imaging Methods and Neuroscience
and Biomedical Engineering respectively,
and as reviewer in major journals such as
IEEE Transactions on Medical Image and
Image Processing, Medical Image Analysis
and NeuroImage.
- Grant reviewer for UK Medical Research
Council (2010, 2013) and Advisory Board
for the Convening on Measuring Cognition
at the Bill & Melinda Gates Foundation
(2013)
- L’Oreal Singapore Award Finalist for Women in Science National Fellowships (2015)
- Young Faculty Research Award, NUS Engineering (2013)
- Young Investigator Award, NUS (2010)
- Invited Lecturer Award, International Symposium on Early Detection and Rehabilitation Technology of Dementia
(2009)
" Quantitative medicine is in its infancy but
will efficiently gather the most essential
information to dramatically reduce the time
and expenditures on disease prevention and
improve disease diagnoses. "