Accepted papers

Submission tracks

Topics of interest

• Acquisition pipelines, annotation strategy, and multi-site dataset construction
• Pseudo-ground-truth generation, calibration, and quality control
• Clinically meaningful metrics, splits, leakage analysis, and reproducibility reporting
• Human-in-the-loop and clinician-grounded evaluation methodologies
• Privacy, fairness, federated learning, and responsible dataset governance
• Generative and diffusion-based augmentation for images and video
• Synthetic data for rare diseases and under-represented populations
• Physics-based simulation, digital twins, and clinical simulators
• Sim-to-real adaptation and patient-specific synthetic priors
• SLAM and structure-from-motion for endoscopy and interventional imaging
• Neural rendering, Gaussian splatting, and implicit 3D representations
• Calibration and pose estimation under deformation, smoke, and reflection
• Dataset and pseudo-GT design for reconstruction benchmarks
• Self-, semi-, weakly-supervised learning and foundation-model adaptation
• Domain adaptation, distribution shift, and out-of-distribution detection
• Multimodal clinical datasets, vision-language models, and workflow understanding
• Deployment safety, uncertainty quantification, and bench-to-bedside evaluation

Submission details & FAQ