Advances in Simplifying Medical UltraSound, MICCAI 2022: Call for Papers

May 24, 2022

Paper Submission Deadline: Monday 20 June 2022

The 3rd international workshop of Advances in Simplifying Medical UltraSound (ASMUS), held in conjunction with MICCAI 2022, will take place on 18 September 2022. ASMUS 2022 aims to provide an intellectually stimulating forum to bring together the international MICCAI research community working towards the next generation of medical ultrasound imaging methods, systems and practices.

In this exciting era for medical ultrasound, recent developments in deep learning (artificial intelligence) and medical robotics have started to show clinically measurable improvement in assisting ultrasound examinations, ultrasound-guided interventions and surgery. ASMUS is soliciting submissions in those and other areas, including:

  • Ultrasound Assisted by Deep Learning/Artificial Intelligence and Medical Robotics:
    • Ultrasound imaging with robotic (automated) assistance
    • Machine learning methods in ultrasound analysis and guidance
    • Automated interpretation and measurement for ultrasound
    • Ultrasound quality and skills assessment
  • Multimodality Ultrasound Imaging:
    • Ultrasound with other non-imaging sensory information, e.g. positional and eye tracking
    • Ultrasound with another pre-/intra-procedural imaging, e.g. camera videos, CT, MR, fluorescence
    • Different modes of ultrasound imaging, e.g. photoacoustic, Doppler, functional ultrasound, tissue quantification
  • Applications:
    • Global healthcare
    • Training sonographers and other users
    • Assisting non-expert healthcare professionals
    • Point-of-care ultrasound systems and scenarios
    • Assisting surgery and interventions
    • Streamlining clinical ultrasound workflow
    • Sonography data science

Find the submission portal and further information at:

1 comment to Advances in Simplifying Medical UltraSound, MICCAI 2022: Call for Papers

  1. I have a point of care ultrasound medical issue that is absolutely doable in this day and age, and this is to prevent blindness on a global scale. I’m not a computer guy, but I am a clinician. portable ultrasound, probes, or already in existence and their data is cloud based. I need for an expert to reach out to me for getting this done.

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