Topics

Topics of interest include, but are not limited to, the following:

• Fundamental methods for image-based biophysical modeling and image synthesis
• Biophysical and data-driven models of disease progression, or organ development, motion and deformation
• Biophysical and data-driven models of image formation and acquisition
• Virtual cell imaging
• Segmentation / registration across or within modalities to aid the learning of model parameters
• Imaging protocol harmonization approaches across imaging systems, sites and time points
• Image synthesis for normalization and spatio-temporal intensity correction
• Cross modality (PET/MR, PET/CT, CT/MR, etc.) image synthesis
• Simulation and synthesis from large-scale image databases
• Automated techniques for quality assessment of simulations and synthetic images
• Image synthesis in high dimensional spaces (vectors, tensors, spatio-temporal features, etc.)
• Handling uncertainty and incomplete data via simulation and synthesis techniques
• Evaluation and benchmarking of state of-the-art approaches in simulation and synthesis
• Normative and annotated datasets for benchmarking and learning models
• Novel ideas on evaluation metrics and methods in image-based simulation and image synthesis
• Applications of image synthesis in super resolution imaging and multi/cross-scale regression
• Applications of image synthesis and simulation in medical image registration and segmentation
• Applications of image synthesis and simulation in image denoising and information fusion
• Applications of synthesis and simulation to image reconstruction from sparse data or sparse views
• Applications of image and data synthesis to real-time simulation of biophysical properties