Sensing and Processing for Medical Imaging: Methods and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 20 June 2026
Special Issue Editor
Interests: computer vision; 3D computer vision; digital image processing; digital signal processing; low-power IC design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue invites original research articles, comprehensive reviews, and short communications that focus on the processing of medical images, from acquisition to analysis. With the goal of enhancing diagnostic accuracy, treatment planning, and clinical decision-making. We seek contributions that advance the state of the art in computational methods and algorithms used to process medical imaging data across various modalities.
We welcome submissions in, but not limited to, the following areas:
- Medical Image Acquisition and Reconstruction Algorithms: innovative computational methods for improving image quality during or after acquisition, including motion correction, compressed sensing, and deep learning-based reconstruction.
- Image Enhancement Techniques: algorithms for denoising, artifact removal, contrast enhancement, and super-resolution to improve the clarity and diagnostic value of medical images.
- Segmentation and Registration: advanced techniques for delineating anatomical structures and pathologies, as well as aligning images across time points or modalities.
- Quantitative Image Analysis and Interpretation: methods for extracting meaningful features, performing statistical analysis, and applying machine learning or deep learning for classification, detection, and prognosis.
- Multi-Modal Image Fusion and Integration: computational approaches for combining data from different imaging modalities (e.g., MRI, CT, PET) to provide richer diagnostic insights.
- Large Language Models (LLMs) and Vision-Language Models (VLMs): applications of LLMs and multi-modal VLMs in medical image processing, including report generation, image-text alignment, clinical decision support, and multi-modal reasoning.
- Computer-Aided Diagnosis (CAD) and Decision Support: development of intelligent systems that assist clinicians in interpreting images and planning treatments.
Review articles should provide a balanced and up-to-date overview of specific image processing techniques or applications in medical imaging, highlighting key developments and future directions.
We look forward to your participation in this Special Issue.
For any enquiries, please contact the Special Issue editor, Silvia Li, at silvia.li@mdpi.com.
Dr. Saed Moradi
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. Sensors 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
- medical image processing
- image reconstruction
- image enhancement
- image segmentation
- image registration
- multi-modal image fusion
- deep learning in medical imaging
- machine learning for diagnosis
- vision–language models (VLMs)
- large language models (LLMs)
- multi-modal learning
- computer-aided diagnosis (CAD)
- medical image analysis
- clinical decision support
- AI in radiology
- medical imaging applications
- quantitative imaging
- image interpretation
- medical imaging informatics
- medical vision transformers
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