Connectionists: (CfP) PHAROS-AFE-AIMI Workshop and Competition in ICCV 2025

[Dimitrios Kollias]

Dear Colleagues,

We are inviting you to participate in the PHAROS - Adaptation, Fairness, Explainability in AI Medical Imaging Workshop (PHAROS-AFE-AIMI) and Competition<https://ai-medical-image-analysis.github.io/5th/> to be held in conjunction with the International Conference on Computer Vision (ICCV), 2025 in Hawaii, USA, 19 – 23 October, 2025.



A) A main target of the Workshop is to present and evaluate novel approaches for predictive modeling of big medical image datasets, focusing on deep learning models, on transparent and human-centered integration of Generative AI and Large Models (such as LLMs, VLMs) in Health Services, creating trust among citizens. It addresses key challenges at the intersection of computer vision and healthcare AI, including multidisease diagnosis, model explainability, fairness, domain adaptation, and continual learning. Given the increasing interest in trustworthy AI, interpretable deep learning models, and the responsible deployment of AI in sensitive applications, this workshop will foster discussions on critical advancements shaping the future of AI in medical imaging. The Workshop is organised in compliance with the PHAROS AI Factory, which is one of the first seven AI Factories selected and funded by the European Union. This ensures that the workshop’s topics have real-world applicability and a strong foundation in cutting-edge research. More information can be found here<https://ai-medical-image-analysis.github.io/5th/>.

Important Dates:

July 8, 2025:         Paper submission
August 8, 2025:    Review decisions sent to authors; notifications of acceptance
August 18, 2025:  Camera ready version

For any requests or enquiries, please contact: stefanos at 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/5th/>.

Important Dates:

May 26, 2025:      Opening of the Competition
July 2, 2025:         Submission of results
July 5, 2025:         Winners announcement
July 8, 2025:         Paper submission
August 8, 2025:    Review decisions sent to authors; notifications of acceptance
August 18, 2025:  Camera ready version

For registration and further information, please contact d.kollias at 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 ICCV 2025 Conference Proceedings.



Kind Regards,
on behalf of the organising committee,
Dimitrios Kollias





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Dr Dimitrios Kollias, PhD, FHEA, M-IEEE, M-BMVA, M-AAAI, M-TCPAMI, AM-IAPR

Lecturer (Assistant Professor) in Artificial Intelligence

Member of Centre for Multimodal AI
Affiliate Member of Centre for Human Centred Computing
Member of Centre of Predictive in vitro Models

Member of Multimedia and Vision Group

Member of Queen Mary Computer Vision Group

Associate Member of Centre for Advanced Robotics
Academic Fellow of Digital Environment Research Institute

School of EECS

Queen Mary University of London

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