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PHAROS-AIF-MIH 2026 : PHAROS AI Factory for Medical Imaging & Healthcare | |||||||||||||||
| Link: https://ai-medical-image-analysis.github.io/6th | |||||||||||||||
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Call For Papers | |||||||||||||||
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Dear Colleagues,
We are inviting you to participate in the PHAROS AI Factory for Medical Imaging & Healthcare Workshop and Competition (PHAROS-AIF-MIH) to be held in conjunction with the IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2026. A) The PHAROS-AIF-MIH Workshop (linked to the healthcare vertical of PHAROS AI Factory) aims to foster discussion and presentation of ideas regarding challenges of analysis of CT scans, MRIs, X-rays, EHRs and content metadata in the context of Digital Pathology and Radiology, adopting recent advances in GenAI, multimodal large language models, privacy preserving architectures, ethics by design, AI models trained in supercomputing infrastructures, knowledge distillation and Agentic AI. A Competition will be also organized focusing on multi-disease diagnosis through multiple medical image datasets. Baseline models will be provided to participants who will develop AI models improving performance and fairness of results. The topics covered by the PHAROS-AIF-MIH Workshop are closely related to the focus of the healthcare thematic area (vertical) of the PHAROS AI Factory, one of the first seven AI Factories selected and funded by the European Union in late 2024 (currently EU, through EuroHPC-JU, has selected 19 AI Factories, operating all over Europe). More information can be found here: https://ai-medical-image-analysis.github.io/6th Important Dates: - Paper Submission Deadline: 18 March, 2026 - Review Decisions Sent to Authors / Notification of Acceptance: 6 April, 2026 - Camera-Ready Version Deadline: 10 April, 2026 For any requests or enquiries, please contact: stefanos@cs.ntua.gr B) The Competition includes two Challenges: i) Multi-Source Covid-19 Detection Challenge and ii) Fair Disease Diagnosis Challenge. The 1st Challenge's goal is to develop accurate models that detect Covid-19 in chest 3D CT scans obtained from multiple sources. The 2nd Challenge's goal is to develop fair and accurate models for diagnosing lung cancer (Adenocarcinoma and Squamous Cell Carcinoma), Covid-19, and healthy cases from chest CT scans. More information can be found here: https://ai-medical-image-analysis.github.io/6th Important Dates: - Call for Participation Announced, Team Registration Begins, Data Available: 30 January, 2026 - Final Submission Deadline: 15 March, 2026 - Winners Announcement: 17 March, 2026 - Final Paper Submission Deadline: 18 March, 2026 - Review Decisions Sent to Authors / Notification of Acceptance: 6 April, 2026 - Camera-Ready Version Deadline: 10 April, 2026 For registration and further information, please contact d.kollias@qmul.ac.uk General Chair: Stefanos Kollias (National Technical University of Athens & GRNET) Program Chairs: Dimitrios Kollias (Queen Mary University London) Xujiong Ye (University of Exeter) Francesco Rundo (University of Catania) All accepted papers will be part of CVPR 2026 Conference Proceedings. Kind Regards, on behalf of the organising committee, Dimitrios Kollias |
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