We are interested in development of advanced artificial intelligence (AI) algorithms for medical image analysis and robotic intelligence. We are actively working with physicians at several University hospitals. If you are interested in topics listed below or collaborative research, please feel free to contact us.

 

• Computer vision / Machine learning / Deep learning

• Medical image analysis (Classification. Enhancement, Segmentation, Registration)

• Pathology image analysis

• Medical robot tracking

• Bio signal processing

Yae Won Park, Soopil Kim, Sung Soo Ahn, Kyunghwa Han, Seok-Gu Kang, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Sang Hyun Park
Magnetic Resonance Imaging-based 3-Dimensional Fractal Dimension and Lacunarity Analyses may Predict the Meningioma Grade
European Radiology, 2020-03 , ,Vol. 0No. 0 ,pp. 0 ~ 0(SCIE, 0:0.0

Soopil Kim, Yae Won Park , Sang Hyun Park, Sung Soo Ahn, ong Hee Chang, Se Hoon Kim, Seung-Koo Lee
Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade
Brain Tumor Res Treat, 2020-03 , ,Vol. 0No. 0 ,pp. 0 ~ 0(SCIE, 0:0.0

Asaduz Zaman, Sang Hyun Park, Hyunhee Bang, Chul-woo Park, Ilhyung Park, Sanghyun Joung
Generative Approach for Data Augmentation for Deep Learning-Based Bone Surface Segmentation from Ultrasound Images
International Journal of Computer Assisted Radiology and Surgery, 2020-05 , ,Vol. 0No. 0 ,pp. 0 ~ 0(SCIE, 0:0.0