Special Issue on Advances in Deep Learning for Real-Time Image Reconstruction and Processing ( ADLIR )
Journal of Real-Time Image Processing
The list of possible topics, but are not limited to:
Real-time image and video reconstruction algorithms Real-time face reconstruction from depth images New deep learning models for real-time image reconstruction and processing New objective functions of deep learning for real-time image reconstruction Real-time MRI and X-ray image processing Real-time 3D image reconstruction, processing or segmentation Deep learning and Hybrid models for real-time computational methods Real-Time deep learning applications for image processing Survey /review of deep learning in real-time image reconstruction
Submission Guideline:
Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Manuscripts are requested according to the Guide for Authors available from the online submission page of the Journal of Real-Time Image Processing (JRTIP) at https://www.editorialmanager.com/rtip/default.aspx . We invite the prospective authors to submit their manuscript, via the online submission system in the main journal page. Please make sure you mention in your cover letter that you are submitting to this special issue (ADLIR).
Important Dates:
Paper submission due: April 30, 2019 First notification: June 30, 2019 Revision submission due: August 15, 2019 Final decision: October 30, 2019 Publication date: December 2019 (Tentative) Note: accepted papers are made available online as Online First Articles soon after acceptance.
https://static.springer.com/sgw/documents/1650125/application/pdf/CALL+FOR+P...
Special Issue on Advances in Deep Learning for Real-Time Image Reconstruction and Processing ( ADLIR )
Journal of Real-Time Image Processing
The list of possible topics, but are not limited to:
* Real-time image and video reconstruction algorithms * Real-time face reconstruction from depth images * New deep learning models for real-time image reconstruction and processing * New objective functions of deep learning for real-time image reconstruction * Real-time MRI and X-ray image processing * Real-time 3D image reconstruction, processing or segmentation * Deep learning and Hybrid models for real-time computational methods * Real-Time deep learning applications for image processing * Survey /review of deep learning in real-time image reconstruction
Submission Guideline:
Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Manuscripts are requested according to the Guide for Authors available from the online submission page of the Journal of Real-Time Image Processing (JRTIP) at https://www.editorialmanager.com/rtip/default.aspx . We invite the prospective authors to submit their manuscript, via the online submission system in the main journal page. Please make sure you mention in your cover letter that you are submitting to this special issue (ADLIR).
Important Dates:
* Paper submission due: April 30, 2019 * First notification: June 30, 2019 * Revision submission due: August 15, 2019 * Final decision: October 30, 2019 * Publication date: December 2019 (Tentative)
Note: accepted papers are made available online soon after acceptance.
https://static.springer.com/sgw/documents/1650125/application/pdf/CALL+FOR+P...
Special Issue on Advances in Deep Learning for Real-Time Image Reconstruction and Processing ( ADLIR )
Journal of Real-Time Image Processing
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- The list of possible topics, but are not limited to:
* Real-time image and video reconstruction algorithms * Real-time face reconstruction from depth images * New deep learning models for real-time image reconstruction and processing * New objective functions of deep learning for real-time image reconstruction * Real-time MRI and X-ray image processing * Real-time 3D image reconstruction, processing or segmentation * Deep learning and Hybrid models for real-time computational methods * Real-Time deep learning applications for image processing * Survey /review of deep learning in real-time image reconstruction
Submission Guideline:
Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Manuscripts are requested according to the Guide for Authors available from the online submission page of the Journal of Real-Time Image Processing (JRTIP) at https://www.editorialmanager.com/rtip/default.aspx . We invite the prospective authors to submit their manuscript, via the online submission system in the main journal page. Please make sure you mention in your cover letter that you are submitting to this special issue (ADLIR).
Important Dates:
* Paper submission due: April 30, 2019 * First notification: June 30, 2019 * Revision submission due: August 15, 2019 * Final decision: October 30, 2019 * Publication date: December 2019 (Tentative)
Note: accepted papers are made available online soon after acceptance.
https://static.springer.com/sgw/documents/1650125/application/pdf/CALL+FOR+P...
computational.science@lists.iccsa.org
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POURYA SHAMSOLMOALI