Learning and Optimization for Medical Imaging

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Medical Imaging".

Deadline for manuscript submissions: 30 November 2024

Special Issue Editors


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Guest Editor
Department of Political and Social Sciences, University of Bologna, 40125 Bologna, Italy
Interests: image processing; tomography; optimization; neural networks; data mining.

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Guest Editor
Department of Computer Science and Engineering, University of Bologna, 40127 Bologna, Italy
Interests: optimization and regularization algorithms; inverse problems in imaging; neural networks for deblurring and denoising problems; neural networks for image reconstruction from sparse data.
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Special Issue Information

Dear Colleagues,

We all know that imaging plays an essential role in medicine today: radiography, different kinds of tomography, magnetic resonance and echography (just to mention the most widespread imaging technologies) play a central role in modern medicine by supporting the diagnosis and treatment of a disease.

At the heart of every medical imaging technology, there is a sophisticated algorithm to reconstruct an image from the measured data, according to a physics-driven model of the measurement process. Moreover, post-processing applications such as denoising, deblurring, image segmentation and object detection are crucial to improve the effectiveness of diagnosis and treatment. The latest technologies have introduced new challenges. Some of these problems are mathematically characterized as inverse problems. Optimization models and algorithms have been occupying a central stage in imaging applications; recently, deep learning approaches have been widely introduced to face the new challenges produced by the latest technologies.

We invite authors to submit original research papers related to different medical imaging applications. Papers focusing on numerical optimization and regularization algorithms, as well as contributions proposing new, robust deep-learning-based techniques, are welcome.

Prof. Elena Morotti
Prof. Elena Loli Piccolomini
Guest Editors

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. Journal of Imaging 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

  • medical imaging
  • optimization methods
  • regularization methods
  • neural networks
  • deep learning
  • image reconstruction
  • image deblur
  • image denoise
  • image segmentation
  • object detection
  • tomography
  • magnetic resonance imaging
  • echography
  • ultrasound imaging
  • spectral imaging
  • X-ray imaging.

Published Papers

This special issue is now open for submission.
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