Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Computer Vision and Pattern Recognition — 3 papers
• Medical Physics — 2 papers
• Cardiovascular Function and Risk Factors — 2 papers
• Intracerebral and Subarachnoid Hemorrhage Research — 2 papers
• Traditional Chinese Medicine Studies — 1 papers
• Cardiac Imaging and Diagnostics — 1 papers
• Image and Video Processing — 1 papers
• Machine Learning — 1 papers
• Quantitative Methods — 1 papers
• Acute Ischemic Stroke Management — 1 papers

Highest-Cited Papers

1. Explainable multimodal deep learning fusion of tongue and facial images for noninvasive coronary heart disease screening
2. A deep learning-based algorithm for detecting significant in-stent restenosis in coronary CT angiography
3. T2 estimation from MOLLI acquisitions
4. The segmentation ceiling: why explicit left-ventricular masks do not improve learned ejection-fraction regression
5. Weakly supervised anatomical feature learning for cross-dataset ejection fraction estimation from echocardiography videos
6. Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy
7. Automated cardiac strain estimation from short-axis DENSE and Cine MR images
8. TractSpLearn: Specialized Shared-Manifold Learning for Individualized Detection of Subtle White Matter Alterations in Mild Traumatic Brain Injury
9. Multimodal deep learning outperforms clinical and brain region models in predicting stroke-associated pneumonia: an explainable AI study
10. Attention-guided super-resolution of 4D flow MRI in carotid arteries
11. Source-separated susceptibility tensor MRI reveals paramagnetic and diamagnetic anisotropy in a postmortem chimpanzee brain
12. Segmentation of the aorta in 4D flow MRI using 4D convolutional kernels and learning from sparse annotations
13. Near Real-Time Multi-Class Segmentation for Intravascular Optical Coherence Tomography using Knowledge Distillation
14. Unsupervised Segmentation of Extraventricular Brain Regions in PC-MRI Using CSF Flow Dynamics
15. Reproducible Semi-Automated Quantification of Vascularization in Bone Sections Using CD31 Immunohistochemistry and Trainable Weka Segmentation
16. When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation
17. ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiography
18. A Deep Learning Segmentation Method for Analyzing Intraventricular Hemorrhage Secondary to Hypertension
19. Automated Hand Flexor Tendon Thickness Measurement in Systemic Sclerosis
20. Multiclass Segmentation of Intracerebral Hemorrhage, Intraventricular Hemorrhage, and Perihematomal Edema: Public CT Dataset and Benchmark