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, organ development, motion and deformation, 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 databases
- Machine and deep learning techniques in image simulation and synthesis
- Handling uncertainty and incomplete data via simulation and synthesis techniques
- 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/simulation in super resolution imaging and multi/cross-scale regression, registration, segmentation, denoising, fusion reconstruction and real-time simulation of biophysical properties
- Applications of synthesis and simulation to image reconstruction from sparse data or sparse views
