Call for papers for IEEE Transactions on Radiation and Plasma Medical Sciences

5 Mars 2018

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Catégorie : Revues

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The IEEE TRPMS encompasses radiation- and plasma-related technologies for medical applications, including radiation detectors, imaging instrumentation, radiation-based image reconstruction, data analysis and image processing, and clinical/preclinical evaluation of imaging systems. We would like to organize a special issue on the machine learning applications in radiation medical sciences, in collaboration with the Editorial Board of the IEEE TRPMS, to be published in 2018.

Machine learning is a very active field of research that has found numerous applications in various fields of the medical sciences, from image reconstruction or dosimetry, to image analysis and processing. In the last few years, the field of machine learning has also seen the fast development and impressive results of deep learning based techniques. We would like to invite authors to submit papers related to the use of established or newly developed machine learning techniques to applications related to radiation medical sciences. The topics include but are not limited to:

• X-ray CT, Dual-/multi-energy CT, PET, PET/CT and PET/MR static and dynamic imaging
• Image reconstruction and estimation
• Multimodality fusion and association
• Dosimetry, planification
• Image processing (denoising/filtering, partial volume effects correction, artifacts correction…)
• Image segmentation and classification
• Image analysis and characterization, radiomics, radiogenomics

Authors must submit papers digitally according to https://mc.manuscriptcentral.com/trpms, indicating that the submission is aimed for this special issue in the cover letter. Authors are encouraged to contact the guest editors to determine suitability of their submission for this special issue.

Guest Editors:

• Mathieu Hatt, PhD
  INSERM, UMR 1101 LaTIM
  IBSAM, University of Brest
  +33 2 98 01 81 11
  mathieu.hatt@inserm.fr
• Jinyi Qi, PhD
  UC Davis
  Biomedical Engineering school
  (530) 754-6142
  qi@ucdavis.edu
• Chintan Parmar, PhD
  Department of Radiation Oncology
  Dana-Farber Cancer Institute
  Harvard Medical School
  617-525-9267
  chintan_parmar@dfci.harvard.edu
• Issam El Naqa, PhD
  Department of Radiation Oncology
  Physics division, University of Michigan
  734-936-4290
  ielnaqa@med.umich.edu

Schedule:

• Submission of manuscripts [FINAL EXTENSION]: March 15th, 2018
• Acceptance/rejection notification: June 1st, 2018
• Revised manuscripts due: July 30th, 2018
• Publication: November 1st, 2018 (Tentatively)