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20212024
most citedLLM-driven Multimodal Target Volume Contouring in Radiation Oncology

75 citations · 81 across the 5 of their papers we have counts for

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5 papers · 1 filter

eess.IV2024

Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation

Changsun Lee, Sangjoon Park, Cheong-Il Shin +4

Recent medical vision-language models (VLMs) have shown promise in 2D medical image interpretation. However extending them to 3D medical imaging has been challenging due to computa…

eess.IV2024★ 2 cited

Mixture of Multicenter Experts in Multimodal AI for Debiased Radiotherapy Target Delineation

Yujin Oh, Sangjoon Park, Xiang Li +21

Clinical decision-making reflects diverse strategies shaped by regional patient populations and institutional protocols. However, most existing medical artificial intelligence (AI)…

eess.IV2023★ 3 cited

Breast Ultrasound Report Generation using LangChain

Jaeyoung Huh, Hyun Jeong Park, Jong Chul Ye

Breast ultrasound (BUS) is a critical diagnostic tool in the field of breast imaging, aiding in the early detection and characterization of breast abnormalities. Interpreting breas…

eess.IV2023★ 75 cited

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…

eess.IV2021

Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN

Jaeyoung Huh, Shujaat Khan, Sungjin Choi +3

In contrast to 2-D ultrasound (US) for uniaxial plane imaging, a 3-D US imaging system can visualize a volume along three axial planes. This allows for a full view of the anatomy,…