Welcome to Medical Imaging and Intelligent Reality Lab.
MI2RL is a part of Asan Medical Center, a UUCM-affiliated leading hospital in South Korea,
and University of Ulsan College of Medicine.
Our lab belongs to the Department of Convergence Medicine and Radiology.
MI2RL's research interests are the areas of image-based clinical applications, such as artificial intelligence, 3D printing, medical image processing, computer-aided surgery, robotic interventions, etc. for translational researches in hospitals.
Our lab works closely with multiple clinical collaborators from AMC, and our goal is to use novel technology to provide better treatment for patients (with cancer, oncological, pulmonological, cardiological, neurological, etc. diseases).
Medical imaging with deep learning, 3D printing in medicine, image guided robotics, computer aided surgery,
flows in human body, medical image processing; lung, brain, heart, liver, breast, dental. Practical consideration for deep learning application in medicine.
Efficient labeling technology, interpretability and visualization (no blackbox), uncertainty (data level, decision level), reproducibility of deep learning, novelty in supervised learning, one-shot or multi-shot learning due to Imbalanced data set or rare disease, deep survival, physics induced machine learning.
A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images[PubMed - in process]
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net
Increasing Burden of Liver Cancer Despite Extensive Use of Antiviral Agents in a Hepatitis B Virus-Endemic Population
Low morphometric complexity of emphysematous lesions predicts survival in chronic obstructive pulmonary disease patients.