AIPR 2021 : IEEE Applied Imagery Pattern Recognition Workshop

In addition to papers on regular AIPR topics in applied imagery, the Workshop Committee invites papers that address all aspects of medical and biomedical AI, development of novel tools, methodologies, algorithms, theory, and mechanisms for biomedicine, healthcare, and neuroscience. Theme topics include, but are not limited to, the following:

AI-based medical imaging for COVID-19 detection, outcome prediction, or monitoring
Deep learning and AI for medicine, computer aided diagnosis, biology, drug discovery
Medical image classification, segmentation, and registration
Connectomics, brain imaging, fMRI, neural circuitry, neuropathologies
Multiscale biological and biomedical signal and image analysis
Deep neural networks for pathology, radiology, and microscopy
Robotics technologies for medical and biomedical applications
Biomedical analysis for clinical imaging and informatics
Data mining and image retrieval for biomedical imagery
Personalized healthcare, electronic health records, translational and precision medicine
Geospatial epidemiology and healthcare
Pattern recognition for early identification of viral contagions
Patient monitoring, wearable devices, and multi-sensor multimodal diagnostics
Regional healthcare lessons learned in pandemics
Advances in statistical image processing
Novel uses of differentiable programming in developing AI systems
Ubiquitous sensors and their impact on biomedical measurements
Conducting medical imaging science with urgency