24 citations
- Seoul National UniversityKR7 papers
- New Generation University CollegeET3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Imperial College LondonGB2 papers
- NIHR Imperial Biomedical Research CentreGB2 papers
- Sungkyunkwan UniversityKR2 papers
- Université Paris CitéFR2 papers
- Advanced Institute of Convergence TechnologyKR1 paper
- Ajou UniversityKR1 paper
- Asan Medical CenterKR1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Bioengineering CenterRU1 paper
13 papers
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
Junhyeok Lee, Hyunwoong Kim, Hyungjin Chung +4
Image-to-Image translation models can help mitigate various challenges inherent to medical image acquisition. Latent diffusion models (LDMs) leverage efficient learning in compress…
Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning
Junhyeok Lee, Han Jang, Kyu Sung Choi
Precise delineation of meningiomas is crucial for effective radiotherapy (RT) planning, directly influencing treatment efficacy and preservation of adjacent healthy tissues. While…
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67
Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…
Shoulder Range of Motion Rehabilitation Robot Incorporating Scapulohumeral Rhythm for Frozen Shoulder
Hyunbum Cho, Sungmoon Hur, Joowan Kim +2
This paper presents a novel rehabilitation robot designed to address the challenges of Passive Range of Motion (PROM) exercises for frozen shoulder patients by integrating advanced…
SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation
Haozheng Xu, Alistair Weld, Chi Xu +16
Accurate instrument pose estimation is a crucial step towards the future of robotic surgery, enabling applications such as autonomous surgical task execution. Vision-based methods…
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
Yooseok Lim, Inbeom Park, Sujee Lee
Appropriate medication dosages in the intensive care unit (ICU) are critical for patient survival. Heparin, used to treat thrombosis and inhibit blood clotting in the ICU, requires…