Browse "Dept. of Bio and Brain Engineering(바이오및뇌공학과)" bySubjectCONVOLUTIONAL NEURAL-NETWORK

Showing results 1 to 6 of 6

1
A MATHEMATICAL FRAMEWORK FOR DEEP LEARNING IN ELASTIC SOURCE IMAGING

Yoo, Jaejun; Wahab, Abdul; Ye, Jong Chulresearcher, SIAM JOURNAL ON APPLIED MATHEMATICS, v.78, no.5, pp.2791 - 2818, 2018-11

2
Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound

Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.67, no.8, pp.1558 - 1572, 2020-08

3
Deep Learning Diffuse Optical Tomography

Yoo, Jaejun; Sabir, Sohail; Heo, Duchang; Kim, Kee Hyun; Wahab, Abdul; Choi, Yoonseok; Lee, Seul-, I; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.4, pp.877 - 887, 2020-04

4
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks

Lee, Dongwook; Yoo, Jaejun; Tak, Sungho; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.65, no.9, pp.1985 - 1995, 2018-09

5
Image Reconstruction Is a New Frontier of Machine Learning

Wang, Ge; Ye, Jong Chulresearcher; Mueller, Klaus; Fessler, Jeffrey A., IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1289 - 1296, 2018-06

6
One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection

Han, Yoseob; Ye, Jong Chulresearcher, MEDICAL PHYSICS, v.46, no.12, pp.E855 - E872, 2019-12

Discover

Type

Open Access

Date issued

rss_1.0 rss_2.0 atom_1.0