Yunseo Jeong
Yonsei University · 医学
研究室紹介
Professor Yunseo Jeong's research lab specializes in medical image computing and interventional radiology, focusing on advancing patient-safe, radiation-efficient imaging techniques and minimally invasive interventions. The lab develops innovative AI-driven solutions—such as conditional diffusion models for 3D CT reconstruction from low-dose X-rays—to reduce radiation exposure while maintaining diagnostic accuracy. Another key focus is on improving the safety and outcomes of endovascular devices, including the retrieval of migrated inferior vena cava filters. The lab bridges clinical challenges with cutting-edge computational methods to enhance pediatric and adult interventional care.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
6Our early experience demonstrated the safety and feasibility of RS in children with a range of diagnoses and complicated procedures. With more experience, RS could be an alternative to traditional open or laparoscopic operations in pediatric patients. Further studies are needed to clarify indications of pediatric RS.
Computational tomography (CT) provides high-resolution medical imaging, but it can expose patients to high radiation. X-ray scanners have low radiation exposure, but their resolutions are low. This paper proposes a new conditional diffusion model, DX2CT, that reconstructs three-dimensional (3D) CT volumes from bi or mono-planar X-ray image(s). Proposed DX2CT consists of two key components: 1) modulating feature maps extracted from two-dimensional (2D) X-ray(s) with 3D positions of CT volume usin
Computational tomography (CT) provides high-resolution medical imaging, but it can expose patients to high radiation. X-ray scanners have low radiation exposure, but their resolutions are low. This paper proposes a new conditional diffusion model, DX2CT, that reconstructs three-dimensional (3D) CT volumes from bi or mono-planar X-ray image(s). Proposed DX2CT consists of two key components: 1) modulating feature maps extracted from two-dimensional (2D) X-ray(s) with 3D positions of CT volume usin
An inferior vena cava filter (IVCF) is a medical device inserted into the inferior vena cava (IVC) to prevent pulmonary embolism by capturing blood clots before they reach the pulmonary arteries. However, long-lasting IVCFs can be complicated by penetration into adjacent organs. A 68-year-old man was found to have an IVCF strut in the duodenum during a routine gastroduodenoscopy. He had undergone prophylactic IVCF placement 10 years earlier following a severe car accident. Open surgical removal