Dear users, the OCS will cease operation by the end of the year 2022. PC chairs of unfinished conferences should contact for further guidance.

Welcome to the conference service of ASMUS2021

Info Icon

This is the main page of the conference. You are presented with a quick overview of the conference facts, as well as the current phases, if logged in. Furthermore you have direct access to actions relevant to the conference.

Your current actions

View papers View papers

With this action an overview of the currently submitted papers is presented to you. Furthermore you can see phase specific information and your possible paper-related actions.

Contact PC Chair Contact PC Chair

With this action you can contact the PC Chair via the internal message system.

Open the overview of your actions in a new page.

Furthermore you can consult the Howtos.

Name:The 2nd International Workshop of Advances in Simplifying Medical UltraSound (ASMUS2021)
Description:(ASMUS) 2021, Held in Conjunction With the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021. We envisage a future for clinical ultrasound that combines advances both in medical image computing (MIC) and computer-assisted intervention (CAI), acknowledging this uniquely operator driven imaging modality and future robotic systems. The authors can choose to submit their manuscripts to either one of the following two sessions: 1. Live Demonstration Session Authors are highly encouraged to submit their papers to this category. During the workshop, authors of papers in this session are given the opportunity to showcase their technologies, research and development through live demonstrations and interaction with conference attendees. 2. Presentation Session This is the regular session of the workshop. Authors of each paper will give an oral presentation to introduce their contributions, algorithms, experiments and results. ASMUS is soliciting full-length paper submissions, including (bot not limited to) work from the following areas: Ultrasound Assisted by Artificial Intelligence and Medical Robotics 1.Ultrasound imaging with robotic (automated) assistance 2.Machine learning methods in ultrasound analysis and guidance 3.Automated interpretation and measurement for ultrasound 4.Ultrasound quality and skills assessment Multimodality Ultrasound Imaging 1.Ultrasound with other non-imaging sensory information, e.g. positional and eye tracking 2.Ultrasound with another pre-/intra-procedural imaging, e.g. camera videos, CT, MR, fluorescence 3.Different modes of ultrasound imaging, e.g. photoacoustic, Doppler, functional ultrasound,tissue quantification Applications 1.Global healthcare 2.Training sonographers and other users 3.Assisting non-expert healthcare professionals 4.Point-of-care ultrasound systems&scenarios 5.Assisting surgery and interventions 6.Streamlining clinical ultrasound workflow 7.Sonography data science Papers will consist of maximum 8 pages (text, figures and tables) + up to 2 pages for references only. They are to be submitted electronically in Springer LNCS (Lecture Notes in Computer Science) style, double blind review. The papers will be evaluated by external reviewers and our organizing committee for inclusion in the workshop as a presentation (oral or poster). Accepted full-length manuscripts will be published with Springer LNCS and the best papers will be selected for industry sponsored awards. Original research contributions are invited. Proof-of-concept research from novel research directions is also encouraged.
PC Chairs:Yipeng Hu
Zachary Baum
Zhe Min
Su-Lin Lee
Alexander Grimwood
Conference flow: Paper Submission: July 2, 2021 23:59 AKDT,
Paper Upload: July 2, 2021 23:59 AKDT,
Bidding for Review: July 7, 2021 23:59 AKDT,
Assignment of Reviewers: July 10, 2021 23:59 AKDT,
Review: July 24, 2021 23:59 AKDT,
Decision: July 25, 2021 23:59 AKDT,
Final: August 8, 2021 23:59 AKDT

  • View papers

    View papers

  • View paper sessions

    View paper sessions

  • Contact PC Chair

    Contact PC Chair

SponsorsSponsor logoSponsor logo