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2023年第26届国际医学图像计算与计算机辅助介入大会(MICCAI)
     
 

◆ 会议时间:2023年10月8日至12日
◆ 会议地点:加拿大 温哥华

 

◆ 会议简介:

2023年第26届国际医学图像计算与计算机辅助介入大会(MICCAI2023)将于2023年10月8日至12日在加拿大温哥华举行,会议由医学图像计算与计算机辅助介入学会(MICCAI)主办。

MICCAI系列会议始于1998年,由CVRMed(计算机视觉、虚拟现实和医疗机器人)、MRCAS(医学疗器人和计算机辅助手术)和VBC(生物医学计算可视化)三个会议合并而成,第一届MICCAI大会于1998年在美国马萨诸塞州的波士顿举行,现已成为该领域首屈一指的国际会议。会议的一般主题包括医学图像计算、计算机辅助介入、导航系统和机器人、可视化和虚拟现实、计算机辅助诊断、生物科学和生物学应用、特定的成像系统和新的成像应用等等。

医学图像计算与计算机辅助介入学会(MICCAI)成立于2004年,其宗旨是致力于促进医学图像计算和计算机辅助医疗介入(包括生物医学成像和机器人技术)领域的研究、教育和实践,通过定期组织和运作高质量的国际会议和出版物,促进宣世界范围内各顶尖机构和杰出科学家、医生和教育工作者在这一领域前沿的知识、专长与经验的交流与传播。未经许可禁止复制摘录转载本站任何内容-国际医学会议网(lingyuint.com)。

MICCAI 2023 - 26th International Conference On Medical Image Computing & Computer Assisted Intervention

Dates: October 8-12, 2023
Venue: Vancouver Convention Centre, Vancouver, Canada

 

CALL FOR PAPERS

Paper submission system open:10th January 2023
Intention to Submit: 23rd February 2023
Full Paper Submission: 9th March 2023
Final Decision Notification: 23rd June 2023
 
提交:Conference Management Toolkit (CMT) website
 
点此查看更多摘要提交相关信息>>>

MICCAI is the premier international conference in Medical Image Computing and Computer-Assisted Intervention and attracts world leading biomedical scientists, engineers, and clinicians from a wide range of disciplines. This edition of the conference will be emphasizing the move of MIC and CAI research from theory to practice by featuring a clinical translation session reflecting the real-world impact of the field in clinical workflows and clinical evaluations.

MICCAI 2023 will be held as a hybrid event with an emphasis on in-person participation in Vancouver.

As in previous years, you must register your intention-to-submit by Midnight, Pacific Time, Feb 23rd, 2023. You will not be able to submit your paper if you do not register your intention-to-submit before this deadline. You will be able to edit your submission up to the paper submission deadline (March 9th, 2023).

Topics of interest for MICCAI include, but are not limited to:

  • Advances in Machine Learning Theory for Imaging
  • Automated image labeling
  • Multimodal fusion across biomedical scales
  • Computational Pathology
  • Computer Aided Diagnosis
  • Multimodal Biomarkers and Imaging Genetics
  • Image Reconstruction
  • Image Registration
  • Image Segmentation
  • Treatment response and outcome prediction
  • Rigorous imaging-related clinical studies and evaluations in clinical workflows
  • Image-Guided Interventions and Computer-assisted Interventions
  • AI-assisted interventional imaging
  • Robot-Assisted Surgery
  • Surgical Data Science
  • Surgical Skill and Workflow Analysis
  • Mixed, Augmented and Virtual Reality
  • Visualization in Biomedical Imaging
  • Biomedical Applications

We strongly encourage authors to improve the reproducibility of their research along three directions: open data, open implementations, and appropriate evaluation design and reporting. Where possible, we invite authors to use open data or to make their data and code available for open access by other researchers. With their submission, authors will be asked to fill out a reproducibility checklist indicating to what extent their submission fulfills these criteria.

There will be an opportunity to showcase papers in a dedicated session on clinical translation. The philosophy of this dedicated session is to keep a high standard for methodology development while enabling a strong focus on the clinical application, and providing insights into clinical challenges that need to be introduced to the MICCAI community.

Built on past success, we intend to continue to make reviews and rebuttals of accepted papers publicly available (without disclosing the reviewer's names) on the MICCAI website. By submitting a paper to MICCAI, the authors agree that, if their paper is accepted for publication, the reviews and meta-reviews of their paper will be published as well.

Papers will consist of a maximum of 8 pages (text, figures, and tables) + up to 2 pages for references only. They should be submitted electronically in LNCS style, appropriately anonymized for double-blind review, to the CMT system when available.

Accepted papers will be published in the MICCAI Proceedings in the Springer LNCS Series.

The papers will be evaluated by external reviewers and Area Chairs for inclusion in the scientific program of MICCAI.

 


 

WELCOME

Dear colleagues

The 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023, will be held from October 8th to 12nd 2023 in Vancouver Convention Centre Canada.

The MICCAI 2023 organizing committee and the local team in Canada have been working diligently at planning the conference for years. We are dedicated to making sure that MICCAI 2023 will be a great experience for everyone!

As you all know, the annual MICCAI conference attracts the world’s leading biomedical scientists, engineers, and clinicians from a wide range of disciplines associated with medical imaging and computer assisted intervention. The conference series includes three days of scientific content, including oral presentations and poster sessions. Workshops, tutorials, and challenges are held on the days preceding and succeeding the conference. Delegates can enjoy many different session formats in these satellite events that offer a comprehensive forum to further explore topics relevant to MICCAI. Industrial sessions and exhibitions provide interesting opportunities of exchange between academia and industry. The Students and Women in MICCAI board will complete the program with exciting social events.

In the months to follow, we will send out many emails announcing what is planned and giving more details. Watch out for those as we share even more exciting news about MICCAI 2023! Meanwhile, do take note that the deadline for paper submission is March 17th, 2023.

On behalf of the entire organizing committee, we look forward to meeting each one of you next year, face to face if possible. See you all in Vancouver!

Tanveer Syeda-Mahmood, General Chair

 


 

 

 

◆ 参会对象:医生、医院科室主任/副主任、住院医师、医院管理者、医护人员以及从事该领域研究的科学家、研究人员、医药企业代表等等。

 
 
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