Overview
This workshop focuses on the intersection of computer vision, generative models, and medical imaging, exploring innovative AI applications in healthcare. It aims to bring together researchers, clinicians, and industry professionals to present and discuss novel methodologies that address key challenges in medical imaging and healthcare. In particular, the workshop highlights the transformative potential of generative models and advanced computational techniques in areas such as disease progression modeling, synthetic data generation, multimodal data integration, and both imaging and non-imaging diagnostics. These approaches have the potential to revolutionize precision medicine by improving diagnostic accuracy, enhancing personalized care, and addressing data scarcity issues in clinical research.
Call for Papers: Share Your Innovations!
We invite you to submit your cutting-edge research to the Workshop on Computer Vision and Generative Models for Medical Imaging (CVGMMI), held in conjunction with ICIAP 2025. Join us in exploring the transformative potential of AI in healthcare!
Areas of Interest
We welcome original contributions related (but not limited) to:
- Novel Deep Learning Architectures for Medical Data Analysis & Synthesis
- Generative Models for Predictive Healthcare & Disease Modeling
- Multimodal Learning (Imaging, Clinical, Genetic, etc.)
- Privacy-Preserving Techniques for Healthcare Data
- Explainable AI (XAI) for Medical Image Interpretation
- Clinical Applications & Impact of AI-Powered Medical Imaging
- Natural Language Processing (NLP) for Clinical Narratives
- Ethical Considerations in AI-Driven Healthcare
Submission Guidelines
- 📄 Format & Length: Papers must be in PDF format and not exceed 12 pages (including references). Please use the official LNCS template (Overleaf).
- ✨ Originality: Submissions must be original work, not previously published or under review elsewhere.
- 💻 Submission Platform: Submit your paper via the EasyChair system.
- 📚 Proceedings: Accepted papers will be published in the Springer Lecture Notes in Computer Science (LNCS) series (indexed in Web of Science, Scopus, etc.).
Mark Your Calendar: Important Dates
- Submission Deadline:
-
June 14, 2025June 30, 2025 - Notification to Authors:
- July 3, 2025
- Camera-Ready Due:
- July 10, 2025
- Workshop:
- Sept 15, 2025 (morning)
Registration Fees
Registration for the CVGMMI workshop is handled through the main ICIAP 2025 conference portal. All fees are quoted in Euro (€) and include 22% Italian VAT. Please visit the ICIAP website for all the details.
| REGISTRATION TYPE |
EARLY BIRD
(Until June 30, 2025) |
REGULAR
(July 1 - September 4, 2025) |
ON-SITE
(From September 5, 2025) |
|---|---|---|---|
| Full - IAPR member* | 300 € | 350 € | 400 € |
| Full - non member | 350 € | 400 € | 450 € |
| Student/ PhD Student** | 250 € | 300 € | 350 € |
What's included: The registration fee includes attendance to the Tutorials/Workshops and one coffee break per day.
*IAPR members: To qualify for the member rate, uploading a current Proof of membership is mandatory during registration (e.g., a valid membership certificate to CVPL or any other IAPR Member Organization).
**Student/PhD Student: To register as a student and benefit from the special fee, a Proof of status is mandatory. You must upload a status confirmation (such as an approval letter signed by your Head of Department or a copy of your student ID) during the online registration process.
Organizers
Prof. Daniele Ravì (Chair)
University of Messina & University College London
Background: Associate Professor with extensive expertise in AI for medical imaging, image-guided surgery, disease progression modeling, and smart sensing. BSc/MSc CompSci, PhD CompVision (UniCT). Postdoc at Imperial/UCL, industry experience. Published >18 Q1 journal papers, holds patent. Secured >£500k in grants.
Research Interests: Computer vision, ML, image-guided surgery, smart sensing (MRI, endomicroscopy, endoscopy, hyperspectral), clinical translation, CNNs, GANs, VAEs.
Prof. Massimo Villari
University of Messina
Background: Full Professor with extensive expertise in Cloud/Edge Computing, Distributed Systems, IT Security, and IoT. Co-creator of the Osmotic Computing paradigm; leader in major EU/Horizon Europe projects. Published >250 scientific papers and patents. Ranked a top global researcher in Cloud Computing by IEEE.
Research Interests: Cloud, Edge, and Osmotic Computing; Internet of Things; Distributed Systems; and IT Security. He has applied these paradigms in various scenarios, including natural disaster management and healthcare.
Lemuel Puglisi
University of Catania & University College London & Queen Square Analytics
Background: Strong background in CS, AI, medical imaging. Focus on disease progression modeling, brain age estimation, medical image analysis. BSc/MSc CompSci (UniCT, Hons). PhD student (UniCT) since 2023.
Experience: Imaging Research Scientist at Queen Square Analytics (UCL spin-out) since 2022 (medical image analysis for clinical trials). Visiting researcher at UCL Hawkes Institute (MANIFOLD lab) since Feb 2024. Publications at MICCAI, MIDL, and Medical Image Analysis (Q1).
Giulio Minore
University College London
Background: Strong background in physics, AI, and medical imaging. Focus on ML techniques for quantitative MRI parameter estimation and medical image analysis. MSci Physics, MSc Machine Learning, MRes Medical Imaging. PhD student in Medical Imaging at the Computational Imaging Group (CIG-UCL).
Research Interests: Research Interests: Quantitative MRI (qMRI), deep learning, MRI biomarkers, computational modeling, medical image analysis. Publications at MICCAI (2021), IPMI (2025).
Invited Speakers
Prof. Antonio Celesti
University of Messina
(Confirmed)
Antonio Celesti is Full Professor of Computer Science at the University of Messina (UniMe). His research focuses on distributed systems, cloud and edge computing, the Internet of Things (IoT), and the application of machine learning in healthcare. He has extensive expertise in cloud architectures, security, and resource management within federated cloud environments.
Prof. James Cole
University College London
(Confirmed)
James Cole is Professor of Neuroimage Computing at the UCL Hawkes Institute and the Dementia Research Centre (DRC) at University College London (UCL). His research interests include brain ageing, neurological and psychiatric diseases, with a particular focus on ageing, neurodegeneration and dementia. His work uses machine learning, deep learning and related statistical methods with the goal of developing clinically useful neuroimaging tools. He is Principal Investigator of the MANIFOLD Lab.
Coming Soon
N/A
(Tentative)
N/A
Venue
Sapienza University of Rome
The workshop, held in conjunction with ICIAP 2025, will take place at the prestigious Sapienza University of Rome, located in the heart of the eternal city.
Established in 1303, Sapienza is one of the oldest universities in the world and consistently ranks among the top universities in Italy and Europe. Its historic campus provides an inspiring and vibrant setting for collaboration and discussion.
Program Committee
- Prof. Daniele Ravì, UniMe
- Prof. Massimo Villari, UniMe
- Lemuel Puglisi, UniCt
- Giulio Minore, UCL
- Giovanni Lonia, UniMe
- Alec Sargood, UCL
- Mattia Litrico, UniCt
- Dr. Francesco Guarnera, UniCt