AI in Biomedical Image Segmentation, Processing and Analysis
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 91
Special Issue Editors
Interests: artificial intelligence; machine learning; deep learning; computer vision; biomedical imaging; health informatics; bioinformatics; explainable AI; automated decision-making systems
Interests: artificial intelligence; image processing; medical imaging; computer vision; machine learning; sensor networks; IoT; edge computing
Interests: artificial intelligence; machine learning; deep learning; computer vision; digital health data science; health informatics; bioinformatics; medical image processing (MRI, fMRI, Ultrasound, X-ray); neuroimaging; EEG; ECG analysis; explainable AI and transparent decision-making systems
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Special Issue Information
Dear Colleagues,
In recent years, Artificial Intelligence (AI) has profoundly transformed biomedical image analysis, with segmentation emerging as one of the most critical and impactful tasks. These advancements have accelerated the integration of AI-driven methods into clinical workflows, enabling improved diagnostic accuracy, early disease detection, treatment planning, and image-guided interventions.
Recent developments have led to the deployment of AI-based medical devices in real-world healthcare settings, marking a major milestone in the transition from research to practice. Nevertheless, significant challenges remain in ensuring robustness, interpretability, scalability, and ethical deployment of these systems across diverse medical contexts.
This Special Issue aims to gather high-quality contributions that explore innovative approaches, methodologies, and applications of AI in biomedical image segmentation, processing, and analysis. We welcome both original research articles and comprehensive reviews that highlight breakthroughs and future directions in this fast-evolving field.
Topics of interest include, but are not limited to, the following:
- Medical image segmentation using deep learning and hybrid methods;
- AI-based medical image registration and reconstruction;
- Medical image classification and recognition;
- Patient/treatment stratification with imaging biomarkers;
- Synthetic medical image generation and augmentation;
- Image-guided surgery and radiotherapy assisted by AI;
- Radiomics and predictive modelling;
- Explainable and trustworthy AI in medicine.
We look forward to your valuable contributions to advance knowledge in this exciting and impactful domain.
Dr. Toufique Ahmed Soomro
Prof. Dr. Lihong Zheng
Dr. Mohammad Ali Moni
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- biomedical imaging
- image segmentation
- deep learning
- medical image processing
- radiomics
- explainable AI
- computer-aided diagnosis
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