[visionlist] CfP: Special Issue on “Artificial Intelligence in Pre-DICOM” IEEE Journal of Biomedical and Health Informatics

jungong han jungonghan77 at gmail.com
Sun Jun 20 16:14:53 -04 2021


Special Issue on “Artificial Intelligence in Pre-DICOM”

*Download Call for Papers (PDF)
<https://www.embs.org/wp-content/uploads/2021/02/Artificial-Intelligence-in-Pre-DICOM.pdf>*

Artificial intelligence (AI) for medical imaging is applied in three
domains: pre-DICOM, pre-processing and clinical applications. Clinical
applications mainly cover topics such as disease detection, classification,
segmentation, registration. Pre-processing components are mainly designed
for facilitating applications using image transformation such as image
normalization, noise reduction, bias correction in MR. AI in the pre-DICOM
domain is expected to improve imaging workflow, image protocol selection,
imaging quality, imaging scanning time before images are converted into
DICOM format for radiologists to review. The trends of AI publications in
medical imaging have been gradually extended from clinical applications to
pre-processing and, to pre-DICOM.  In this special issue, we are looking
for pre-DICOM innovations driven by AI.

Topics of interest of this special issue include, but are not limited to,
the following:

   - Pre-imaging: leverage sensor information to guide the positioning of
   patients for proper imaging/scanning
   - Automated protocol selection: based on clinical application and
   patient characteristics, automatically select appropriate imaging protocols
   - Automated fine-imaging: based on low quality scan, identify region of
   interest for high quality scanning
   - Reconstruction: reconstruct image (e.g. MRI, CT and ultrasound) from
   raw data acquisition
   - Quality improvement: improve image quality with better signal-to-noise
   ratio; enhance the quality of low-cost machine image

*Guest Editors:*

*Tao Tan*
GE Healthcare, the Netherlands
tao.tan at ge.com

*Ravi Soni*
GE Healthcare, the United States
ravi.soni at ge.com

*Jungong Han*
Aberystwyth University, the United Kingdom
jungong.han at aber.ac.uk

*Shuo Li*
University of Western Ontario, Canada
slishuo at gmail.com

* Key Dates:*


*Submission deadline:* 31 Aug, 2021
*First reviews due:* 31 Oct, 2021
*Revised manuscript due:* 31 Dec, 2021
*Final decision:* 31 Jan, 2022
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