3 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model
Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee +1
Automatic Speech Recognition (ASR) is a technology that converts spoken words into text, facilitating interaction between humans and machines. One of the most common applications o…
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
Motion artifact reduction is one of the important research topics in MR imaging, as the motion artifact degrades image quality and makes diagnosis difficult. Recently, many deep le…
Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology
Sangjoon Park, Eun Sun Lee, Kyung Sook Shin +2
Oversight AI is an emerging concept in radiology where the AI forms a symbiosis with radiologists by continuously supporting radiologists in their decision-making. Recent advances…