Hybrid Conferencee

International Conference on Medical Image Computing and Bioinformatics Fusion (ICMICBF - 26)

19th - 20th December 2026 | Sao Tome, Sao Tome and Principe

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Sao Tome conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sao Tome, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Sao Tome."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Medical Image Computing

This track focuses on the latest methodologies in medical image processing, emphasizing innovative techniques for image enhancement and segmentation. Contributions that explore the integration of deep learning in medical imaging are particularly encouraged.

Track 02

Bioinformatics and Predictive Modeling

This session will delve into the application of predictive modeling techniques in bioinformatics, highlighting the role of machine learning in biological data analysis. Papers that address the challenges of model accuracy and interpretability in biological contexts are welcome.

Track 03

Supervised and Unsupervised Learning in Healthcare

This track aims to explore the applications of both supervised and unsupervised learning algorithms in healthcare settings. Contributions that demonstrate novel approaches to patient data classification and clustering are highly encouraged.

Track 04

Deep Learning Techniques for Anomaly Detection

This session will focus on the implementation of deep learning methods for detecting anomalies in medical images and biological data. Papers that present new architectures or frameworks for effective anomaly detection are sought.

Track 05

Feature Extraction in Medical Imaging

This track will cover innovative techniques for feature extraction from medical images, emphasizing their importance in improving diagnostic accuracy. Contributions that leverage advanced algorithms for feature selection and dimensionality reduction are encouraged.

Track 06

Workflow Automation in Bioinformatics

This session will discuss the automation of workflows in bioinformatics, focusing on tools and systems that enhance efficiency and reproducibility. Papers that present case studies or frameworks for automated bioinformatics pipelines are welcome.

Track 07

System Monitoring and Evaluation in Healthcare Analytics

This track will explore methodologies for system monitoring and model evaluation in healthcare analytics. Contributions that address the challenges of real-time monitoring and performance metrics are encouraged.

Track 08

Industrial IoT Applications in Medical Imaging

This session will examine the intersection of industrial IoT and medical imaging, focusing on the integration of IoT technologies to enhance imaging processes. Papers that present innovative use cases or frameworks for IoT in healthcare are sought.

Track 09

Predictive Maintenance in Healthcare Systems

This track will focus on predictive maintenance strategies for healthcare systems, emphasizing the role of data analytics in optimizing resource allocation. Contributions that showcase successful implementations or case studies are encouraged.

Track 10

Digital Twin Technologies in Bioinformatics

This session will explore the application of digital twin technologies in bioinformatics, highlighting their potential for simulating biological processes. Papers that discuss the development and validation of digital twins in healthcare contexts are welcome.

Track 11

Pattern Recognition and 3D Modeling in Medical Imaging

This track will focus on pattern recognition techniques and 3D modeling applications in medical imaging. Contributions that present novel algorithms or applications that enhance visualization and interpretation of medical data are encouraged.