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Computational Medical Image Analysis

Special Issue Information

Dear Colleagues,

It is my great pleasure to invite you to contribute to this Special Issue of Computation, titled “Computational Medical Image Analysis”, which is devoted to understanding the modern methodologies used in a variety of medical imaging applications. Colleagues from all over the world are invited to submit their manuscripts. These papers will follow a rigorous peer-review process to satisfy a high standard of publication.

Computational methods are extensively used in medical image analysis. With the development of high-performance systems as well as methodologies that can harness the power of these systems (e.g., machine learning and deep learning), this is an exciting era for imaging research. With novel methodologies it has been possible to provide previously unfathomable solutions to important problems. In this Special Issue we hope to put together a collection of such methods.

The scope of the issue is vast. The application must be clinically relevant and patient oriented. Usage of both synthetic and real data is acceptable. Applications from a diverse range of imaging modalities including CT, MR, SPECT, PET, ultrasound, photoacoustic as well as digital pathology are encouraged. Topics for the Special Issue include but are not limited to:

  • Image processing
  • Dual and multi-modality imaging
  • Image segmentation
  • Image registration
  • Tomographic reconstruction
  • Image quality assessment
  • Digital pathology applications
  • Dosimetry
  • Radiation oncology applications
  • Machine learning
  • Neural networks

Dr. Anando Sen
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. Computation 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 1800 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

  • computational imaging
  • medical imaging
  • anatomical imaging
  • functional imaging
  • machine learning
  • neural networks
  • digital pathology

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

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Computation - ISSN 2079-3197Creative Common CC BY license