5 papers
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge
Asbjørn Munk, Stefano Cerri, Vardan Nersesjan +81
Clinical deployment of automated brain MRI analysis faces a fundamental challenge: clinical data is heterogeneous and noisy, and high-quality labels are prohibitively costly to obt…
LV-Net: Anatomy-aware lateral ventricle shape modeling with a case study on Alzheimer's disease
Wonjung Park, Suhyun Ahn, Jinah Park
Lateral ventricle (LV) shape analysis holds promise as a biomarker for neurological diseases; however, challenges remain due to substantial shape variability across individuals and…
Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images
Suhyun Ahn, Wonjung Park, Jihoon Cho +2
Spatial control methods using additional modules on pretrained diffusion models have gained attention for enabling conditional generation in natural images. These methods guide the…
Lateral Ventricle Shape Modeling using Peripheral Area Projection for Longitudinal Analysis
Wonjung Park, Suhyun Ahn, Jinah Park
The deformation of the lateral ventricle (LV) shape is widely studied to identify specific morphometric changes associated with diseases. Since LV enlargement is considered a relat…
Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views
Jihoon Cho, Suhyun Ahn, Beomju Kim +8
Deep learning-based segmentation techniques have shown remarkable performance in brain segmentation, yet their success hinges on the availability of extensive labeled training data…