Medical Ultrasound
It is an exciting era for medical ultrasound. 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 instruments, human behaviour, and human-computer interactions.
This SIG provides a forum for identifying, investigating, and solving key challenges and exploring future research directions for the next breakthroughs in medical ultrasound.
Mission
SIG-MUS aims to bring together the medical image computing (MIC) and computer-assisted intervention (CAI) communities to work towards the next generation of medical ultrasound imaging methods and systems. We envisage a future for clinical ultrasound that truly combines advances both in MIC and CAI, acknowledging the unique capabilities of ultrasound as an interactive anatomic and functional imaging modality that can be manipulated directly by human operators or robotic systems. This SIG also helps bridge the research and clinical ultrasound communities to design and implement new ultrasound-enabled applications that provide revolutionary healthcare benefits.
Board Members
Alison Noble
PresidentTechnikos professor of Biomedical Engineering at the University of Oxford
Alison Noble
Professor Alison Noble CBE FRS FREng FIET is currently the Technikos Professor of Biomedical Engineering in Department of Engineering Science and a Professorial Fellow of St Hilda’s College, at the University of Oxford, UK. She is a former Director of the Oxford Institute of Biomedical Engineering (2012-16).
Read MoreYipeng Hu
SecretaryUniversity College London
Yipeng Hu
Yipeng Hu is a researcher and lecturer at UCL, specialising in medical image analysis, machine learning, and computer-assisted interventions.
Read MoreStephen Aylward
TreasurerNVIDIA, Inc.
Stephen Aylward
Stephen Aylward is a leader in the Global Developer Relations team at NVIDIA, specializing in AI-enabled medical technologies.
Read MoreGabor Fichtinger
Board MemberQueens University
Gabor Fichtinger
Gabor Fichtinger's research and teaching interest is Computer-Assisted Surgery and Interventions. This is a fascinating and complex field that covers medical imaging, image computing, scientific visualization, surgical planning and navigation, robotics, biosensors and, perhaps most importantly, integration of all these into workable clinical systems and translating them to clinical use. He further specializes in minimally invasive percutaneous (through the skin) interventions performed under image guidance, with primary application in the detection and treatment of cancer.
Read MoreAlexander Grimwood
Board MemberUniversity College London
Svenja Ipsen
Board MemberFraunhofer Research Institution
Svenja Ipsen
Svenja Ipsen was born in Hamburg, Germany in 1990. She received her Master of Science from the Universität zu Lübeck in 2015. From 2013 to 2014, she worked at the Radiation Physics Laboratory at the University of Sydney, Australia, where she initiated an interdisciplinary project on the treatment of cardiac arrhythmia using MR-guided radiation therapy.
Read MoreThomas van den Heuvel
Board MemberRaddboud University
Thomas van den Heuvel
Thomas van den Heuvel is a postdoc in the Diagnostic Image Analysis Group and the Medical Ultrasound Imaging Centre. His work is part of the POCUS-AI research line in which he combines Point-of-care ultrasound (POCUS) with artificial intelligence.
Read MoreKawal Rhode
Board MemberKing’s College London
Kawal Rhode
Kawal Rhode is a Professor in Biomedical Engineering and the Head of Education at the School of Biomedical Engineering & Imaging Sciences. His research interests include image-guided interventions; medical image processing; patient-specific cardiac biophysical modelling; medical robotics; 3D printing in healthcare; pedagogy for biomedical engineering; and translational research.
Read MoreEmad Boctor
Board MemberJohns Hopkins University
Emad Boctor
Emad M. Boctor is an associate research professor with the Laboratory for Computational Sensing and Robotics.
Read MoreWolfgang Wein
Board MemberimFusion
Wolfgang Wein
Entrepreneur and senior scientist in the general area of medical image computing, with core expertise in multi-modality image registration and fusion, tomographic reconstruction, interventional navigation, and machine learning. Deployment of new technologies with industrial and clinical partners in many different, diverse application scenarios.
Read MoreSaskia Camps
Board MemberEBAMed
Saskia Camps
Saskia Camps is a Senior R&D Engineer & Clinical Application Specialist at EBAMed.
Read MoreDong Ni
Board MemberShenzhen University
Dong Ni
Dong Ni is a Professor of Medical Image Computing and Vice Dean for Research at Shenzhen University Health Center, School of Biomedical Engineering.
Read MoreS. Kevin Zhou
Board MemberChinese Academy of Sciences
S. Kevin Zhou
Chinese Academy of Sciences
Activities
September 27, 2025 Advances in Simplifying Medical UltraSound (ASMUS)
The 6th International Workshop of Advances in Simplifying Medical UltraSound (ASMUS) - a workshop held in conjunction with MICCAI 2025, the 28th International Conference on Medical Image Computing and Computer Assisted Intervention.
View Details
October 6, 2024 Advances in Simplifying Medical UltraSound (ASMUS)
The 5th International Workshop of Advances in Simplifying Medical UltraSound (ASMUS) - a workshop held in conjunction with MICCAI 2024, the 27th International Conference on Medical Image Computing and Computer Assisted Intervention.
View Details
October 8, 2023 Advances in Simplifying Medical UltraSound (ASMUS)
The 4th International Workshop of Advances in Simplifying Medical UltraSound (ASMUS) - a workshop held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer Assisted Intervention.
September 18, 2022 Advances in Simplifying Medical UltraSound (ASMUS)
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.
View Details
September 27, 2021 Advances in Simplifying Medical UltraSound (ASMUS)
ASMUS 2021 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.
View Details
October 4, 2020 Advances in Simplifying Medical UltraSound (ASMUS)
The workshop took place on 4th October and 2020 and included the Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge, live practical technology demonstrations, Q&A sessions and two keynote talks.
View Details
September 16, 2018 Point-of-Care Ultrasound Algorithms, Hardware, and Applications (POCUS)
The premise of this half-day MICCAI workshop is that for the full potential of point-of-care ultrasound (POCUS) to be realized, POCUS systems must be approached as if they were new diagnostic modalities, not simply as inexpensive, portable ultrasound image systems.
View Details
September 14, 2017 Point-of-Care Ultrasound Algorithms, Hardware, and Applications (POCUS)
The premise of this full-day MICCAI workshop is that for the full potential of point-of-care ultrasound (POCUS) to be realized, POCUS systems must be approached as if they were new diagnostic modalities, not simply as inexpensive, portable ultrasound image systems.
View Details