International Conference on Medical Imaging and Machine Learning ICMIML

Call For Papers

The ICMIML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

👉 Confirm Your Participation Today

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

👉 Submit Your Paper Now

Hybrid Event