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🏥 Medical Image Analysis
Algorithms for medical image analysis, including but not limited to, image generation and translation, shape modeling, and image segmentation.
🖐️ Interaction Techniques
Human-computer interaction in extended reality, rendering haptic feedback through interaction with virtual objects and performing volume data feedback calculation.
🕹️ Simulation & Visualization
Realtime physics simulation, and quantified analysis and visualization of biomedical data.
📰 Recent News Highlights
The paper titled “Shape-Guided Self-Supervised Learning for Intracranial Aneurysm Segmentation” by Woohyun Jeong, Suhyun Ahn, and Jinah Park has been accepted to 2026 IEEE 23rd International Symposium on Biomedical Imaging. Congratulations!
The paper titled “Vibration–Color–Emotion Correspondences for Affective Haptic Feedback” by Anney Vo, Chanhyeok Lee, and Jinah Park has been accepted to Haptic Symposium 2026. Congratulations!
첫번째 강사님은, 한경화 교수 (Ph.D) 소속: 연세의대 영상의학교실 전공: 의학통계학, 영상데이터사이언스 관심분야: 의료 AI 검증, 다중판독의 진단정확도연구 발표주제: Evaluation of Medical Imaging AI: Multiclass classification & Interchangeability Test 아래 전체 세미나 일정도 참고하시고, 많은 참여 부탁드립니다. 1/26 (월) 16:00~17:00 한경화 (연세의대) Evaluation of Medical Imaging AI: Multiclass classification & Interchangeability Test 2/2 (월) 16:00~17:00 김영재 (가천대) 급성뇌출혈 _Brain CT/MRI 합성데이터 연구 2/5 (목) 16:00~17:00 김영우 (금오공대) 복부 MRI 에서 신장낭종 감별과 PCKD (다발성신낭종증)의 신기능측정 연구 2/24 (화) 16:00~17:00 김영곤 (서울의대) 다양한 의료영상 (영상의학, 병리학, 안과학)을 분석을 위한 AI 연구 Check out our latest seminar schedule and details here! : https://cgv.kaist.ac.kr/seminars
🔗 Links
