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ASMUS 2020 Proceedings Available
ASMUS
ASMUS
This inaugural workshop at MICCAI 2020 aims to bring together the MICCAI research community working towards the next generation of medical ultrasound imaging methods and systems. We envisage a future for clinical ultrasound that truly combines advances both in medical image computing (MIC) and computer-assisted intervention (CAI), acknowledging the unique imaging modality operated directly by human operators, or in the future, robotic systems. As a research community, we will design and implement new ultrasound-enabled applications to provide revolutionary healthcare benefits.
ASMUS builds on the previous success of the MICCAI POCUS workshop series, Point-of-Care Ultrasound: Algorithms, Hardware and Applications. It is timely for us to expand the POCUS-specific focus to a more general theme with shared challenges and interests.
It is an exciting era for medical ultrasound, in which recent developments in deep learning (artificial intelligence) and medical robotics have started to show measurable improvement in assisting ultrasound examinations, ultrasound-guided interventions and surgery. These complex medical procedures can incorporate multiple imaging modalities including different ultrasound modes, tracked (imaging) instruments, human behaviour and human-computer interactions.
The focus on “simplifying ultrasound” stems for the need to find technical solutions that make ultrasound easier to use by occasional users/non-specialists. The ASMUS workshop will be themed around topics related to how to incorporate multimodal sensory information as well as learning from the most experienced practitioners to maximise clinical utility and usability of ultrasound imaging whilst minimising its associated cost. This recognizes the user-dependency nature of ultrasound as one of the most significant challenges for better accessibility of the technology.
Grand Challenge Affiliation: Thyroid Nodule Segmentation and Classification in Ultrasound Images
Grand Challenge Affiliation: Thyroid Nodule Segmentation and Classification in Ultrasound Images
ASMUS is affiliated with the TN-SCUI2020 MICCAI Grand Challenge. The partnership is designed to maximise research impact by promoting the sharing of expertise and resources. Through affiliations across the MICCAI community, we aim to broaden the field of medical ultrasound research in a focused and methodical manner.
Keynote Speakers
Keynote Speakers
Emad Boctor and Lasse Løvstakken will present the keynote talks at ASMUS.
Chairs
Chairs
Yipeng Hu (Co-chair, University College London, UK)
Alison Noble (Co-chair, University of Oxford, UK)
Stephen Aylward (Co-chair, Kitware, US)
Organising Committee
Organising Committee
Purang Abolmaesumi (University of British Columbia, Canada)
Gabor Fichtinger (Queen’s University, Canada)
Jan d’Hooge (KU Leuven, Belgium)
Chris de Korte (Radboud University Nijmegen, Netherlands)
Nassir Navab (Technical University of Munich, Germany)
Dong Ni (Shenzhen University, China)
Kawal Rhode (King’s College London, UK)
Russ Taylor (Johns Hopkins University, US)
Su-Lin Lee (University College London, UK)
Program Chair
Program Chair
Alex Grimwood (University College London, UK)
Demonstrations Chair
Demonstrations Chair
Zac Baum (University College London, UK)
Important Dates - Submission Deadline Extended
Important Dates - Submission Deadline Extended
Submission Deadline 30 June 2020 7 July (23:59 Pacific Time)
Notification of Acceptance 21 July 2020 28 July
Camera Ready Papers 31 July 2020 7 August (23:59 Pacific Time)
Workshop 04 October 2020 (09:00 - 18:00 UTC)
Please be aware, there are only three days to submit Camera Ready Papers after the the Notification of Acceptance. This submission process leaves no room for revision of accepted manuscripts.
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