Pediatric

P-PD-01 2025_KA-019

Two-Stage Meta-Learning Framework with Gradient-Based Case Retrieval for Low-Data Pediatric Brain Tumor Segmentation

Abdulkhalek Al-Fakih / College of Artificial Intelligence Convergence(Korea)

Corresponding author : Mohammed Al-Masni / m.almasani@sejong.ac.kr

P-PD-02 2025_KA-040

Anatomically- Informed Segmentation of Pediatric Brain Tumors Using Adaptive Normalization

Abbas Mohammed / College of Artificial Intelligence Convergence(Republic of Korea)

Corresponding author : Mohammed Al-Masni / m.almasani@sejong.ac.kr

P-PD-03 2025_KA-058

Diagnostic Utility of 3D Proton Density and T2 SPACE MR imaging in Aqueductal Stenosis Presenting as Progressive Neonatal Hydrocephalus: A Case Report

Yewon Lim / Ewha Womans University Mokdong Hospital(Korea)

Corresponding author : Eunhee Kim / kimeunheekeh@gmail.com

P-PD-04 2025_KA-090

Deep learning-enhanced zero echo time silent brain magnetic resonance imaging in infants without sedation

Chanyoung Rhee / Seoul National University Hospital(Korea)

Corresponding author : Rhee Chanyoung / cyrhee.rad@gmail.com