146 citations
- Yonsei UniversityKR9 papers
- Brookhaven National LaboratoryUS4 papers
- Brown UniversityUS3 papers
- Korea Astronomy and Space Science InstituteKR2 papers
- National Institute for Mathematical SciencesKR2 papers
- University of LiègeBE2 papers
- Ames National LaboratoryUS1 paper
- Busan Institute of Science and TechnologyKR1 paper
- California State University, FresnoUS1 paper
- Cedars-Sinai Medical CenterUS1 paper
- Centre Hospitalier Universitaire de LiègeBE1 paper
- Ewha Womans UniversityKR1 paper
15 papers
LLM-driven Multimodal Target Volume Contouring in Radiation Oncology
Yujin Oh, Sangjoon Park, Hwa Kyung Byun +4
Target volume contouring for radiation therapy is considered significantly more challenging than the normal organ segmentation tasks as it necessitates the utilization of both imag…
HUBO and QUBO models for Prime factorization
Kyungtaek Jun
The security of the RSA cryptosystem is based on the difficulty of factoring a large number N into prime numbers p and q satisfying N=p*q . This paper presents a prime factoriaatio…
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…
Pro-arrhythmogenic effects of heterogeneous tissue curvature: A suggestion for role of left atrial appendage in atrial fibrillation
Jun-Seop Song, Jaehyeok Kim, Byounghyun Lim +5
Background: The arrhythmogenic role of atrial complex morphology has not yet been clearly elucidated. We hypothesized that bumpy tissue geometry can induce action potential duratio…
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network
Siming Yan, Feng Shi, Yuhua Chen +5
Coronary calcium causes beam hardening and blooming artifacts on cardiac computed tomography angiography (CTA) images, which lead to overestimation of lumen stenosis and reduction…
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…