arXiv Computer Vision
Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer
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Comparative Study of Anatomical and Learned Features in AI Models for Structural Brain MRI
arXiv:2609.06807v1 Announce Type: cross Abstract: In this work, we comprehensively evaluate three popular feature-extraction paradigms in AI-based neuroimaging modeling: (1) computation of anatomical...
arXiv Computer Vision
Sep 18
A Dual-Stream Regulated Reconstruction and Segmentation Network with Hierarchical Artifact-Prior Modeling for Ultra-Low-Field Pediatric Neuroimaging
arXiv:2609. 20562v1 Announce Type: new Abstract: Automated quality assessment, enhancement, and segmentation of multiple structures in $0.
arXiv Computer Vision
Sep 14
Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer
arXiv:2609.13043v1 Announce Type: new Abstract: Robust medical image segmentation across imaging modalities is challenging because of large differences in appearance and intensity distributions. Mode...
arXiv Computer Vision
Sep 28
How Far Can INRs Go? Cross-Domain Parameter-efficient INR-Based Semantic Segmentation for Brain MRI
arXiv:2609.31573v1 Announce Type: new Abstract: Biomedical image segmentation is central to medical image analysis, but practical deployment often faces limited annotations, memory constraints, and c...
arXiv Computer Vision
Sep 1
On the Role of MRI Sequences in Cross-Dataset Generalization for Brain Tumor Segmentation
arXiv:2608.29944v1 Announce Type: new Abstract: Brain tumor segmentation in magnetic resonance imaging (MRI) is a critical task for diagnosis and treatment planning. Despite the success of deep learn...
arXiv Computer Vision
Oct 2
Multi-Resolution Feature Fusion U-Net for Magnetic Resonance Imaging Segmentation
arXiv:2610.00279v1 Announce Type: new Abstract: The segmentation of anatomical structures in medical images and particularly in MRI scans, is essential for clinical diagnosis and monitoring disease p...