Latest Research in Computer Vision and Pattern Recognition
26 research papers · 0.2 average citations · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Computer Vision and Pattern Recognition — 8 papers
- Image and Video Processing — 4 papers
- Advanced MRI Techniques and Applications — 3 papers
- Temporomandibular Joint Disorders — 1 papers
- Acute Ischemic Stroke Management — 1 papers
- Coronary Interventions and Diagnostics — 1 papers
- Machine Learning — 1 papers
- Sparse and Compressive Sensing Techniques — 1 papers
- Signal Processing — 1 papers
- Cardiovascular Function and Risk Factors — 1 papers
Highest-Cited Papers
- Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scans (3 citations)
- Anatomy-aware, label-informed approach improves image registration for challenging datasets (1 citations)
- MRI Image Segmentation Algorithm for Temporomandibular Joint Discs and Condyles Based on the Improved nnU-Net Framework
- Generalizable and equitable automated ischaemic stroke lesion segmentation with vision transformers
- SSCA-DIPNet: Structured Sparse and Channel-Attentive Deep Image Prior Network for Highly-Accelerated MRI
- Sustainable MRI: Interpretable Deep Learning for estimating energy and power consumption, revealing key acquisition parameters and their interactions
- A hierarchy-aware multi-label framework for anatomically consistent intravascular ultrasound segmentation
- Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
- SV-Cine: Diagnosis-Conditioned Segmentation of Single Ventricle Physiology via Generative Data Augmentation
- Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling
- End-to-End Trained Energy-Based Model for Image Recovery
- MRI-Guided Reslice-Refined Cross-Slice SDF Reconstruction of the Left Ventricle from Cardiac MRI with Sparse Axial Supervision
- CrossRAFT: Cross-Domain Complex-Valued Feature Extraction for Ultrasound Motion Estimation
- Smooth 3D Cardiac Geometry Reconstruction from 2D CT Slice Segmentations: Wall-Thickness Agreement with a Manual Reference (a Preliminary Single-Center Study)
- A Quantitative Evaluation Framework for Temporal Explainability in Echocardiographic Video Segmentation
- MedGSSR: Generalizable Medical Image Super-Resolution 3D Reconstruction via Hierarchical Feed-forward Gaussian Splatting
- One Shared LoRA Weight for MRI Reconstruction across Acceleration Factors
- Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging
- Measuring proximity to standard planes during fetal brain ultrasound scanning
- Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology