AI-Med Lab. @ GIST
Artificial Intelligence on MEDical application Lab.
We are interested in developing and applying advanced artificial intelligence approaches to biomedical and health data. Especially, we are currently focused on:
Medical imaging analysis: The goal of the study is to develop novel artificial intelligence methods (e.g., 3D-CNN, Transformer) based on neuroimages (i.e., MRI, PET, CT) for multiple tasks, diagnosis, prognosis, prediction, segmentation, and identifying biomarkers.
Imaging genetics association: The goal of this project is to develop novel bio-medical informatics methods for integrative analysis of imaging, genetics, and transcriptomic data to identify the association between imaging and genetics in the brain.
Informatics algorithm for EHR: One of our interests is predicting the risk of cardiovascular disease and optimal treatment strategies using learning algorithms based on electronic health records.
Wearable devices: The goal of the project is to develop a platform and algorithm for evaluating the health conditions of cancer patients undergoing chemotherapy using the wearable device.
Medical Image analysis
MedIA 21
Imaging genetics
MedIA 22, IEEE-TMI 21
EMR Informatics
Wearable devices
Current Research
Our lab currently analysis numerous medical field!
Extracting FC
EHR Imputation
Generative model
Using Generative Adversarial model (LDM, CGAN) to generate missing MRI or other medical images
Wearable device
Extracting time series data from patient's wearable device such as Heart rate, Activity log and Sleep log.
