Deep Learning in Biomedical Image and Signal Processing: Recent Advancements and Applications
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 761
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue aims to highlight the latest advancements in and innovative applications to deep learning in biomedical image and signal processing. We welcome original research articles, reviews, and perspectives that explore the development and application of deep learning algorithms for various tasks, including the following:
Image analysis: The segmentation, registration, classification, detection, and quantification of anatomical structures, lesions, and biomarkers from medical images (e.g., CT, MRI, PET, ultrasound, and microscopy).
Signal processing: The analysis and interpretation of physiological signals (e.g., ECG, EEG, EMG, and PPG) for disease diagnosis, monitoring, and prediction.
Multimodal data fusion: The integration of information from multiple imaging modalities and/or physiological signals for improved diagnostic accuracy and personalized medicine.
Explainable AI: The development of interpretable deep learning models to enhance trust and transparency in clinical decision making.
Clinical translation: The evaluation of the clinical impact and utility of deep learning algorithms in real-world settings.
Biomarker discovery and validation: Machine learning and deep learning approaches for identifying and validating novel biomarkers for early disease detection, prognosis, and treatment response prediction.
Predictive modeling and risk assessment: AI-based models for predicting disease progression, treatment outcomes, and identifying high-risk individuals for targeted interventions.
This Special Issue will provide a valuable resource for researchers, clinicians, and industry professionals interested in the latest developments in deep learning for biomedical applications.
Dr. Narinder Singh Punn
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Diagnostics is an international peer-reviewed open access semimonthly 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 2600 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
- deep learning
- biomedical image
- signal processing
- multimodal data fusion
- explainable AI
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