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Annonce

16 novembre 2017

Special issue on Machine learning in radiation based medical sciences


Catégorie : Revues


IEEE Transactions on Radiation & Plasma Medical Sciences

 

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:

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

 

Jinyi Qi, PhD

UC Davis

Biomedical Engineering school

Chintan Parmar, PhD

Department of Radiation Oncology

Dana-Farber Cancer Institute

Harvard Medical School

 

Issam El Naqa, PhD

Department of Radiation Oncology

Physics division, University of Michigan

 

       

+33 2 98 01 81 11

mathieu.hatt@inserm.fr

(530) 754-6142

qi@ucdavis.edu

 

617-525-9267

chintan_parmar@dfci.harvard.edu

734-936-4290

ielnaqa@med.umich.edu

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