Latest Research in Medical Imaging Techniques and Applications

Top Research Topics in Medical Imaging Techniques and Applications

• Computer Vision and Pattern Recognition — 11 papers
• Medical Imaging Techniques and Applications — 5 papers
• Image and Video Processing — 3 papers
• COVID-19 diagnosis using AI — 2 papers
• Pancreatic and Hepatic Oncology Research — 1 papers
• Radiation Dose and Imaging — 1 papers
• Advanced X-ray and CT Imaging — 1 papers
• Machine Learning — 1 papers
• Advanced Neural Network Applications — 1 papers
• Artificial Intelligence — 1 papers

Highest-Cited Papers

1. Ultra-Low Dose Computed Tomography with 90% Radiation Reduction: High-Fidelity Deterministic Regularized Recovery via Idempotent Metric Projectors and Proximal Resolvents
2. Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation
3. A deep learning framework with directional perception and spatial focusing for enhanced low-dose CT image denoising
4. Anatomy-prior-guided and scan-aware 3D segmentation of the pediatric pancreas in CT images
5. From Alignment to Synthesis: Contrastive Volumetric Grounding for Text-to-CT Generation
6. Prediction of left ventricular systolic dysfunction from chest radiographs using validated abnormality labels plus machine learning versus end-to-end deep learning
7. Image-Domain GAN Denoising for Sn100 kVp Ultra-Low-Dose Chest CT: A Retrospective Paired Image-Quality Study
8. CycleGAN for Kernel-to-Kernel CT harmonization and low-dose CT denoising via transfer learning
9. Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation
10. A deep dictionary network-based foundation model for ultra-low-dose CT denoising
11. Deep learning enables quantitative kinetic modeling from low-dose dynamic [$$^{18}$$F]-MK6240 Tau PET
12. Low-Dose CT for Stroke Diagnosis: A Dual-Pipeline Deep Learning Framework for Portable Neuroimaging
13. CSRCT: Generalized sparse regularization and convolutional sparse representation for low-dose CT reconstruction
14. MSB-Net: A Coarse-to-Fine Multi-Scale Boundary-Aware 3D Network for Kidney Tumor Segmentation
15. SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation
16. Weakly supervised neural network: segmentation of complex structures in X-ray microCT
17. Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering
18. A deep unrolling network based on cartoon texture decomposition for low-dose CT reconstruction
19. Hybrid intensity normalization and translation network for structure-preserving intensity normalization in medical imaging
20. Topogram-based anatomical labelling of CT series: anatomy-aware CT data processing using deep learning