Latest Research in Image Enhancement Techniques
14 research papers · 2026 median publication year
Top Research Topics in Image Enhancement Techniques
- Computer Vision and Pattern Recognition — 7 papers
- Advanced Neural Network Applications — 4 papers
- Image Enhancement Techniques — 1 papers
- Advanced Radiotherapy Techniques — 1 papers
- Image and Video Processing — 1 papers
Highest-Cited Papers
- Learning Sparse Latent Predictive Foundation Model for Multimodal Neuroimaging
- What to Preserve, Where to Adapt: A Depth-Wise Analysis of Forgetting in Continual Gynecological Image Segmentation
- Multiple Myeloma Lesion Segmentation on Whole-Body Diffusion-Weighted Imaging via Efficient Anatomical Anticipation and Multimodal Confirmation
- Signal or Noise? Auditing Rotation-Induced Saliency Drift in Medical and Aerial Imaging
- Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations
- MALCNet: modality-aware latent completion network for brain tumor segmentation with incomplete MRI modalities
- Multi-feature adaptive Laplacian pyramid fusion for low-contrast medical image enhancement
- TSF U-Net: A Texture-Span and Frequency-Gated U-Net for Brain Tumor MRI Segmentation
- W-AGRU-Net: a dual-stream attention framework for robust brain tumor segmentation in clinical MRI imaging
- Attention-Guided TransMorph for Real-Time Tumor Tracking in Cine-MRI
- Synergistic Modality-and-Slice Memory Framework for Cross-Modal 3D Brain Tumor Segmentation
- crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023
- SDFR-Net: A Stage-Asymmetric Spectral Diffusion and Frequency–Spatial Refinement Network for Brain Tumor MRI Segmentation
- Three-Phase Scribble-Adaptive Curriculum Learning for autoPETV Grand Challenge