Latest Research in Advanced Neural Network Applications
41 research papers · 2026 median publication year
Top Research Topics in Advanced Neural Network Applications
- Computer Vision and Pattern Recognition — 21 papers
- Advanced Neural Network Applications — 7 papers
- Image and Video Processing — 3 papers
- Advanced Image Fusion Techniques — 2 papers
- Medical Image Segmentation Techniques — 2 papers
- Osteoarthritis Treatment and Mechanisms — 1 papers
- Medical Imaging and Analysis — 1 papers
- Domain Adaptation and Few-Shot Learning — 1 papers
- AI in cancer detection — 1 papers
- Cutaneous Melanoma Detection and Management — 1 papers
Highest-Cited Papers
- BINDER: A Latent Variable Model for Probabilistic Medical Image Registration
- G^2RA-NET: Graph-based Cross-Slice Relation Modeling with Attention Gating for Medical Image Segmentation
- UniReg: Conditional Unified Model for Medical Image Registration
- SFC-Net: A spatial-frequency collaborative network for multi-modal medical image fusion
- Evolving Error States: Failure-Aware Progressive Repair for Ultrasound Lesion Segmentation
- IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets
- SAMReg: SAM-enabled Image Registration with ROI-based Correspondence
- GP-VM$\times$SMA: Benchmarking General-Purpose Vision Models and Specialized Architectures for 2D Medical Image Segmentation
- BiSegMamba: Efficient Bidirectional Tri-Oriented Mamba for 3D Medical Image Segmentation
- SCDM: Spatial-Contextual Disentanglement Mamba via Differential Inference for Efficient Image Classification
- MCSeg: Pre-training and Fine-tuning Volumetric Pyramid Transformer for Multi-modal Cardiac Image Segmentation
- Fast and Accurate Monomodal 3D High Resolution Deep Registration of Drosophila Larval Brain Volumes
- Dynamic Consistency-Aware Multi-View Learning with SAM3 for 3D Medical Image Segmentation
- MFF-Net: Multi-Feature Fusion Network for Knee X-Ray Image Segmentation
- SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
- LightMedSeg-ISLES: Stroke Lesion Segmentation with 81x Fewer Parameters than nnU-Net
- Two-Parameter Flow Map Learning for Continuous-Time Diffeomorphic Image Registration
- LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation
- Medical Image Segmentation based on Deep Active Contour and Mean Curvature Loss Function
- Playing with Kruskal: A State-of-the-Art Report on Watershed Cuts