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Hybrid Event

7th - 8th September 2026 | Abu Dhabi, UAE

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

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMIML) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.