STEM Laboratory for Artificial Intelligence in Medicine
Key Research Areas
Brain Networks
brain functional and structural organization
brain development and aging
Deep Learning & Manifold Learning
graph neural networks
multi-modal image fusion
manifold learning
longitudinal modeling
Imaging Genetics
multivariate statistical analysis
deep learning on images and genetics
Cohort Studies
Brain Development
Two Asian cohorts are built. The first cohort study started in 2009 when mothers were pregnant and followed up with children and families from birth until now (the sample size of 1200). The second cohort was started in 2022 with a sample size of 1000. Both studies are longitudinal and deep phenotype environmental measures, genetics, brain imaging, and cognition.
Brain Aging
Our group leads several aging population studies, including normal aging across the entire adulthood and neurodegenerative diseases (Alzheimer's disease, small vessel disease, stroke, etc).
News
12/2023: Prof. Qiu gives a talk at the International Symposium on Biomedical and Health Engineering
12/2023: Prof. Qiu gives a plenary talk at IEEE EMBS Data Science Conference.
12/2023: Jing’s paper is out in Medical Image Analysis.
11/2023: Prof. Qiu and the team won the National Science and Technology Major Project grant (科技部重大项目) on brain development in early life.
11/2023: Our paper is published in Nature Neuroscience.
11/2023, Jingwen’s paper on white matter functional organization is out in Cerebral Cortex.
7/2023, Guodong’s paper on Amyloid- is out in Neuroimage.
7/2023, Prof. Qiu gave a keynote at the annual event of Chinese Young Scholar for Human Brain Mapping, Montreal.
7/2023, Prof. Qiu gave a keynote at HUman partnership with Medical Artificial intelligence (HUMAN.AI) conference.
6/2023, Chenye’s paper on brain-metabolism relationship is out in Translational Psychiatry.
6/2023, Prof. Qiu gave a talk at Center for Imaging Science at the Johns Hopkins University to celebrate its 25th anniversary.
3/2023, Prof Qiu and chaoqiang published a paper on adolescent brain in Nature subjournal - Neuropsychopharmacology.
2/2023, Chaoqiang’s paper is out in Neural Networks.