(Including but not limited to the following topics)
Topic 1: Medical Imaging
CT Imaging and Reconstruction
Magnetic Resonance Imaging Technology
Ultrasound Imaging and Elastic Imaging
PET and Nuclear Medicine Imaging
Digital Pathology Slide Imaging
X-ray Imaging and DSA
Optical Coherence Tomography Imaging
Molecular Imaging and Probes
Functional Imaging and Perfusion Imaging
Diffusion Tensor Imaging
Medical Image Registration
Medical image segmentation
Medical Image Enhancement and Denoising
Three-Dimensional Reconstruction and Visualization of Medical Images
Multimodal Medical Image Fusion
Topic 2: Computer Vision
Image Classification and Object Detection
Image Segmentation and Instance Segmentation
Object Tracking and Motion Analysis
Image Generation and Super-Resolution
Self-Supervised and Semi-Supervised Visual Learning
Visual Attention Mechanism and Transformer
Graph Neural Networks and Visual Relationship Reasoning
3D Point Clouds and Depth Estimation
Multi-View Geometry and 3D Reconstruction
Video Understanding and Behavior Recognition
Weakly Supervised and Few-Sample Visual Learning
Adversarial Learning and Visual Robustness
Neural Radiance Fields and Implicit Representations
Visual-Language Cross-Modal Learning
Lightweight Visual Models and Edge Deployment
Topic 3: Intelligent Diagnosis
Disease Classification and Screening Based on Images
Lesion Detection and Localization
Differential Diagnosis of Tumor Benignity and Malignancy
Intelligent Analysis of Pathological Images
Retinal Images and Ophthalmic Diagnosis
Lung Nodules and Chest Disease Diagnosis
Intelligent Analysis of Cardiovascular and Cerebrovascular Images
Imaging Diagnosis of Neurodegenerative Diseases
Multimodal Data Fusion for Assisted Diagnosis
Temporal Image Dynamic Analysis and Prognosis Prediction
Interpretable Diagnostic Models
Medical Knowledge Graphs and Clinical Decision Support
Automatic Report Generation
Intelligent Surgical Planning Assistance
Generalization of Diagnostic Models and Federated Learning