Synopsis of recent research by authors named "Sunwoo Kwak"
- Sunwoo Kwak's recent research primarily focuses on employing deep learning techniques for analyzing multi-parametric magnetic resonance imaging (mpMRI) to predict peritumoral infiltration and recurrence in glioblastoma (GBM), aiming to improve treatment outcomes by addressing the limitations of traditional methods.
- His studies published in 2024 highlight the development of fully automatic mpMRI analysis that enhances the identification of infiltrative tumor characteristics beyond radiologically defined borders, which are critical for effective surgical planning and treatment strategies.
- Additionally, Kwak's work extends to automating the segmentation and assessment of ocular structures in 3D ultrasound biomicroscopy (3D-UBM) images, indicating a broad interest in applying deep learning to various fields of medical imaging and diagnostics.
