3 papers
cs.CV2026
NEMESIS: Noise-suppressed Efficient MAE with Enhanced Superpatch Integration Strategy
Kyeonghun Kim, Hyeonseok Jung, Youngung Han +9
Volumetric CT imaging is essential for clinical diagnosis, yet annotating 3D volumes is expensive and time-consuming, motivating self-supervised learning (SSL) from unlabeled data.…
cs.CV2026
NeoNet: An End-to-End 3D MRI-Based Deep Learning Framework for Non-Invasive Prediction of Perineural Invasion via Generation-Driven Classification
Youngung Han, Minkyung Cha, Kyeonghun Kim +12
Minimizing invasive diagnostic procedures to reduce the risk of patient injury and infection is a central goal in medical imaging. And yet, noninvasive diagnosis of perineural inva…
cs.CV2026
3D-LLDM: Label-Guided 3D Latent Diffusion Model for Improving High-Resolution Synthetic MR Imaging in Hepatic Structure Segmentation
Kyeonghun Kim, Jaehyeok Bae, Youngung Han +10
Deep learning and generative models are advancing rapidly, with synthetic data increasingly being integrated into training pipelines for downstream analysis tasks. However, in medi…