Flex Conference (Physical / Digital)

International Conference on Medical Imaging and Machine Learning (ICMIML - 26)

17th - 18th August 2026, Zurich, Switzerland

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Call for Paper

The ICMIML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Machine Learning encouraging participation from emerging researchers and fostering academic growth.

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

  • Deep learning applications in medical imaging
  • Machine learning algorithms for disease diagnosis
  • Image segmentation techniques in healthcare
  • AI-driven predictive analytics in radiology
  • Ethical considerations in medical AI
  • Integration of imaging modalities with ML
  • Patient data privacy in machine learning
  • Real-time imaging analysis using AI
  • Novel feature extraction methods for imaging
  • Transfer learning in medical image classification
  • Automated detection of tumors using ML
  • Challenges in medical data annotation
  • Interpretable machine learning in healthcare
  • Comparative studies of imaging techniques
  • Impact of AI on radiologist workflows
  • Machine learning for personalized medicine
  • Data augmentation strategies for medical images
  • Clinical validation of machine learning models
  • Use of GANs in medical imaging
  • Future trends in medical imaging technology

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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Important Dates

Early Bird Registration :18th July 2026

Paper Submission Deadline :23rd July 2026

Last Date of Registration : 2nd August 2026

Date of Conference : 17th - 18th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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