International Conference on

Medical Imaging and Machine Learning (ICMIML-26)

8th – 9th Oct 2026 | Prague, Czech Republic | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Medical Imaging and Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Deep learning applications in medical imaging
02
Machine learning algorithms for disease diagnosis
03
Image segmentation techniques in healthcare
04
AI-driven predictive analytics in radiology
05
Ethical considerations in medical AI
06
Integration of imaging modalities with ML
07
Patient data privacy in machine learning
08
Real-time imaging analysis using AI
09
Novel feature extraction methods for imaging
10
Transfer learning in medical image classification
11
Automated detection of tumors using ML
12
Challenges in medical data annotation
13
Interpretable machine learning in healthcare
14
Comparative studies of imaging techniques
15
Impact of AI on radiologist workflows
16
Machine learning for personalized medicine
17
Data augmentation strategies for medical images
18
Clinical validation of machine learning models
19
Use of GANs in medical imaging
20
Future trends in medical imaging technology
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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