Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Computer Vision and Pattern Recognition — 15 papers
• Advanced Neural Network Applications — 3 papers
• Image and Video Processing — 2 papers
• AI in cancer detection — 2 papers
• Voice and Speech Disorders — 1 papers
• Medical Imaging Techniques and Applications — 1 papers
• Prostate Cancer Diagnosis and Treatment — 1 papers
• Generative Adversarial Networks and Image Synthesis — 1 papers
• Dental Radiography and Imaging — 1 papers
• Digital Radiography and Breast Imaging — 1 papers

Highest-Cited Papers

1. KG-Seg: Medical Knowledge-Guided Target-State Learning for 3D Lesion Segmentation with Lesion-Only Annotations
2. De-GAN - Dynamic Parameter Tuned GAN for 3D Medical Image Segmentation: A Step Towards Generalisation
3. MedDiME: Efficient Latent Diffusion with Adaptive Masking for Medical Counterfactual Generation
4. Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation
5. 3D CT-to-PET Translation via Latent Brownian Bridge Diffusion
6. EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis
7. DTMG-Net: diffusion model with MoE and multi-scale dilated attention for CRC tongue image generative augmentation
8. Compositional Reward Models for Conditional Medical Image Generation
9. Auditing Patient Privacy in Medical Generative Models: Scalable Memorization Detection with DeepSSIM++
10. WiseSeg: weakly supervised whole-body PET/CT segmentation of 147 anatomical structures
11. UnCapsTSR: An Unsupervised Transformer-based Image Super-Resolution Approach for Capsule Endoscopy Images
12. Transformer-enhanced generative adversarial networks for improving MR image quality in prostate imaging
13. Analyzing the Impact of Photometric Data Augmentation on Medical Instance Segmentation Performance
14. GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
15. Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET V
16. Boundary aware dual encoder learning for accurate cell segmentation
17. A UTLO-Based Approach for Small-Sample Imbalanced Medical Image Generation
18. A medical image classification algorithm based on a hierarchical and complementary attention-enhanced Swin Transformer model
19. Learning To Focus: Anatomy-Guided Attention Regularization for Medical Image Classification
20. The generative adversarial networks (GANs) for case- or scenario-based teaching in orthodontic education, a scoping review