Call for Papers – SafeSurg: Workshop on AI for Safe Surgery, MICCAI2026

We are writing to announce SafeSurg: Workshop on AI for Safe Surgery, an inaugural workshop held at MICCAI (Medical Image Computing and Computer Assisted Interventions) 2026, one of the top conferences in the field of medical imaging and surgical AI, to be held between 27th Sept- 1st Oct 2026 in Strasbourg, France. 

Surgery concentrates several open problems in computer vision and machine learning in a high-stakes safety-relevant setting: rare event detection under extreme class imbalance, distribution shift across centres and devices, learning from ambiguous and disagreeing labels, calibrated uncertainty, and the design of human-AI interfaces for reliable use. SafeSurg brings together researchers, clinicians, and industry partners around these real-world, clinically meaningful problems.

We invite full paper submissions (Springer LNCS format, 8 pages) on safety-directed topics, including safe data use and annotation frameworks, safety-critical applications such as adverse event detection and anticipation, surgical quality measures, robustness and multi-centric evaluation, and human-AI interfaces for the operating room. The full list of topics and submission details is available on the workshop website: https://camma-public.github.io/safesurg-workshop/

Key dates: Paper submissions due 1 July 2026. Submissions will be managed via OpenReview here: https://openreview.net/group?id=MICCAI.org%2F2026%2FWorkshop%2FSafeSurg

Call for reviewers: We are also recruiting reviewers for the workshop. If you would like to contribute to the review process, please sign up here: https://docs.google.com/forms/d/e/1FAIpQLSdrzGCAp2-sE1CuPg80EwPpjRpzYeTOwCWCQio7s38B_8C5jQ/viewform. We welcome reviewers across career stages and encourage expressions of interest from researchers and clinicians working on any of the workshop topics.

Please feel free to forward this announcement to colleagues and students who may be interested. We look forward to your contributions and to seeing you on the workshop day!

Best regards,
Lalith Sharan on behalf of the SafeSurg organising committee
Nicolas Padoy · Pietro Mascagni · Namkee Oh · Sophia Bano · Hongliang Ren

Call for Papers – SafeSurg: Workshop on AI for Safe Surgery, MICCAI2026

We are writing to announce SafeSurg: Workshop on AI for Safe Surgery, an inaugural workshop held at MICCAI (Medical Image Computing and Computer Assisted Interventions) 2026, one of the top conferences in the field of medical imaging and surgical AI, to be held between 27th Sept- 1st Oct 2026 in Strasbourg, France. 

Surgery concentrates several open problems in computer vision and machine learning in a high-stakes safety-relevant setting: rare event detection under extreme class imbalance, distribution shift across centres and devices, learning from ambiguous and disagreeing labels, calibrated uncertainty, and the design of human-AI interfaces for reliable use. SafeSurg brings together researchers, clinicians, and industry partners around these real-world, clinically meaningful problems.

We invite full paper submissions (Springer LNCS format, 8 pages) on safety-directed topics, including safe data use and annotation frameworks, safety-critical applications such as adverse event detection and anticipation, surgical quality measures, robustness and multi-centric evaluation, and human-AI interfaces for the operating room. The full list of topics and submission details is available on the workshop website: https://camma-public.github.io/safesurg-workshop/

Key dates: Paper submissions due 1 July 2026. Submissions will be managed via OpenReview here: https://openreview.net/group?id=MICCAI.org%2F2026%2FWorkshop%2FSafeSurg

Call for reviewers: We are also recruiting reviewers for the workshop. If you would like to contribute to the review process, please sign up here: https://docs.google.com/forms/d/e/1FAIpQLSdrzGCAp2-sE1CuPg80EwPpjRpzYeTOwCWCQio7s38B_8C5jQ/viewform. We welcome reviewers across career stages and encourage expressions of interest from researchers and clinicians working on any of the workshop topics.

Please feel free to forward this announcement to colleagues and students who may be interested. We look forward to your contributions and to seeing you on the workshop day!

Best regards,
Lalith Sharan on behalf of the SafeSurg organising committee
Nicolas Padoy · Pietro Mascagni · Namkee Oh · Sophia Bano · Hongliang Ren

IEEE NorCAS 2026 call for Special Sessions

 

The 2026 IEEE Nordic Circuits and Systems Conference (NorCAS) will take place in

Tampere, Finland on October 20-21, 2026. The conference is co-sponsored

by the IEEE Circuits and Systems Society and Tampere University. The submission

deadline in on August 16, 2026. See the call for papers on the conference website.

 

Special Sessions for NorCAS 2026 can be proposed by June 15, 2026 by email to 

norcas@tuni.fi. They will be added to the paper submission system once approved

by the conference management. It is then the responsibility of the session organizers to

promote their session.

 

To propose a Special Session, send the proposed session title/topic, organizer(s) name,

affiliation and email, a short paragraph on the rationale of the session, and the names

and email addresses of five proposed (PhD level) reviewers for the papers submitted to

the session. We expect at least one of the organizers to participate in the conference to

chair the session if accepted.

 

Special Session papers will undergo similar reviews as any other papers submitted to the

conference, and presented papers will be submitted for inclusion in the IEEE Xplore database.

 

For more details on IEEE NorCAS 2026, see https://events.tuni.fi/norcas

 

Regards,

 

Jari Nurmi (TAU)

IEEE NorCAS General Chair

IEEE NorCAS 2026 call for Special Sessions

 

The 2026 IEEE Nordic Circuits and Systems Conference (NorCAS) will take place in

Tampere, Finland on October 20-21, 2026. The conference is co-sponsored

by the IEEE Circuits and Systems Society and Tampere University. The submission

deadline in on August 16, 2026. See the call for papers on the conference website.

 

Special Sessions for NorCAS 2026 can be proposed by June 15, 2026 by email to 

norcas@tuni.fi. They will be added to the paper submission system once approved

by the conference management. It is then the responsibility of the session organizers to

promote their session.

 

To propose a Special Session, send the proposed session title/topic, organizer(s) name,

affiliation and email, a short paragraph on the rationale of the session, and the names

and email addresses of five proposed (PhD level) reviewers for the papers submitted to

the session. We expect at least one of the organizers to participate in the conference to

chair the session if accepted.

 

Special Session papers will undergo similar reviews as any other papers submitted to the

conference, and presented papers will be submitted for inclusion in the IEEE Xplore database.

 

For more details on IEEE NorCAS 2026, see https://events.tuni.fi/norcas

 

Regards,

 

Jari Nurmi (TAU)

IEEE NorCAS General Chair

Second International Workshop on AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare 2026

Second International Workshop on AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare 2026 (AIMEH'26)

 

Joint with the 22nd International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2026) Avignon, France // 14 – 16 October 2026

 

sites.google.com/view/aimeh2026/home-page

 

Call for Papers

 

The Second International Workshop on AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare 2026 (AIMEH'26) invites high-quality submissions of papers describing original and unpublished research results regarding the use of AI and XAI in next-gen wireless and mobile networks in the context of healthcare.

 

 

TOPICS OF INTEREST

 

Topics of interest include, but are not limited to:

  • 5G Network architectures and protocols for medical applications
  • Wi-Fi adoption in healthcare IoT and real-time medical data transmission
  • AI adoption in healthcare and networks
  • Network advancements in telemedicine
  • 5G, Wi-Fi 6, and AI for Remote Patient Monitoring
  • AI and ML in data processing, storage, and analytics
  • AI for Secure and Intelligent Data Transmission for Healthcare
  • AI-Driven Network Optimization for Healthcare Applications
  • Interoperability and AI in Smart Healthcare Networks
  • Privacy-Preserving AI in Networks for Healthcare
  • Regulatory and Ethical Considerations for AI in Healthcare Networks
  • Cybersecurity Challenges in AI-Powered Healthcare Systems
  • Machine Learning for Anomaly Detection in Medical and Network Data
  • Smart resource allocation for critical healthcare services
  • Security and Privacy in Wireless Networks for Healthcare
  • eXplainable AI (XAI) in Networks for Healthcare
  • XAI for Trustworthy Medical Decision-Making
  • AI-Powered Digital Twins for Healthcare and Network Optimization
  • Federated Learning in Healthcare
  • Advancements in wireless networks for Federated Learning

 

SUBMISSION GUIDELINES

 

All papers accepted by a workshop will be published in the WiMob 2026 Proceedings and will be sent for inclusion in the IEEE eXplore digital library.

Workshop papers must follow the guidelines and size limit as provided in the “author guidelines” on the WiMob website: http://www.wimob.org/wimob2026/guidelines.php

The submission and revision process will be managed through the EDAS system (submission link: https://edas.info/newPaper.php?c=35176).

 

IMPORTANT DATES

 

  • Paper submission deadline for the workshop: July 15, 2026
  • Paper acceptance for the workshop: August 15, 2026
  • Camera ready & Author Registration: September 1, 2026
  • Workshop: October 14, 2026

 

We look forward to your valuable contributions and hope to see you at the workshop.

 

Best regards,

Stefania Zinno and Giovanni Stanco
Second International Workshop on AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare (AIMEH'26)

 

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