75 citations
- Yonsei UniversityKR6 papers
- Korea Advanced Institute of Science and TechnologyKR3 papers
- Gangnam Severance HospitalKR2 papers
- GlaxoSmithKline (United Kingdom)GB2 papers
- Imperial College LondonGB2 papers
- Queen Mary University of LondonGB2 papers
- University of OxfordGB2 papers
- Barts Health NHS TrustGB1 paper
- Chungbuk National UniversityKR1 paper
- Harvard UniversityUS1 paper
- John Radcliffe HospitalGB1 paper
- Johns Hopkins MedicineUS1 paper
9 papers
A human brain atlas of chi-separation for normative iron and myelin distributions
Kyeongseon Min, Beomseok Sohn, Woo Jung Kim +9
Iron and myelin are primary susceptibility sources in the human brain. These substances are essential for healthy brain, and their abnormalities are often related to various neurol…
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…
Range dependent Hamiltonian Algorithm for numerical QUBO formulation
Hyunju Lee, Kyungtaek Jun
With the advent and development of quantum computers, various quantum algorithms that can solve linear equations and eigenvalues faster than classical computers have been developed…
Automated identification of neural cells in the multi-photon images using deep-neural networks
Si-Baek Seong, Hae-Jeong Park
The advancement of the neuroscientific imaging techniques has produced an unprecedented size of neural cell imaging data, which calls for automated processing. In particular, ident…
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study
Robert Robinson, Vanya V. Valindria, Wenjia Bai +19
Background: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic proc…
Real-time Prediction of Segmentation Quality
Robert Robinson, Ozan Oktay, Wenjia Bai +17
Recent advances in deep learning based image segmentation methods have enabled real-time performance with human-level accuracy. However, occasionally even the best method fails due…