426 citations · 643 across the 4 of their papers we have counts for
4 papers
Automatic evaluation of fetal head biometry from ultrasound images using machine learning
Hwa Pyung Kim, Sung Min Lee, Ja-Young Kwon +3
Ultrasound-based fetal biometric measurements, such as head circumference (HC) and biparietal diameter (BPD), are commonly used to evaluate the gestational age and diagnose fetal c…
Deep learning for undersampled MRI reconstruction
Chang Min Hyun, Hwa Pyung Kim, Sung Min Lee +2
This paper presents a deep learning method for faster magnetic resonance imaging (MRI) by reducing k-space data with sub-Nyquist sampling strategies and provides a rationale for wh…
CT sinogram-consistency learning for metal-induced beam hardening correction
Hyung Suk Park, Sung Min Lee, Hwa Pyung Kim +1
This paper proposes a sinogram consistency learning method to deal with beam-hardening related artifacts in polychromatic computerized tomography (CT). The presence of highly atten…
Machine-learning-based nonlinear decomposition of CT images for metal artifact reduction
Hyung Suk Park, Sung Min Lee, Hwa Pyung Kim +1
Computed tomography (CT) images containing metallic objects commonly show severe streaking and shadow artifacts. Metal artifacts are caused by nonlinear beam-hardening effects comb…