活动简介

The purpose of the Applied Imagery Pattern Recognition (AIPR) annual workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines. The papers span a range of topics, from research to fielded systems and provide to scientists, developers, and managers alike, a broad vision of the applicability of image analysis and machine learning technologies.

AIPR continues the half-century of success and tradition in pioneering new topics in applied image and visual understanding. The current worldwide pandemic focuses our collective attention on artificial intelligence (AI) in medicine and biomedicine to improve healthcare. Healthcare systems around the world are being challenged and experiencing a large influx of patients requiring intensive monitoring.  Researchers are working on near-term and long-term projects to bring relief to clinical providers with enhanced automation capability to assist in patient monitoring, rapid diagnosis, and drug discovery. Large medical databases are offering new opportunities to accelerate the adoption of AI and improve medical outcomes. The 2021 IEEE AIPR Workshop will explore artificial intelligence in medicine, healthcare, and neuroscience.

Sponsor Type:1

组委会

Workshop Chairs:

Travis Axtell, Ball Aerospace
Josh Harguess, Mitre

Program Chairs:

Stefan Jaeger, National Institutes of Health
Filiz Bunyak, University of Missouri
Chris Ward, Naval Information Warfare Center

征稿信息

重要日期

2021-08-15
摘要截稿日期

征稿范围

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

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重要日期
  • 会议日期

    10月12日

    2021

    10月14日

    2021

  • 08月15日 2021

    摘要截稿日期

  • 10月14日 2021

    注册截止日期

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