Medical Imaging and Health Informatics for COVID-19
Journal of Medical Imaging and Health Informatics (IF: 0.499)

The 2019–20 coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was declared to be a Public Health Emergency of International Concern and recognized as a pandemic by the World Health Organization. The outbreak of COVID-19 has rapidly spread to most countries in the world. To date (16 April 2020), there have been more than 2.1 million confirmed cases and 140,371 deaths around the world.

Health Informatics (HI) and Artificial intelligence (AI) plays an important role in fighting COVID-19. For example, techniques can help develop vaccine & targeted drugs for COVID-19. In epidemiology, HI & AI can provide tracking and prediction of the spread of infected territories and areas. The visualization technology provides a global overview for policy-makers. Deep learning methods are efficient in making fast and accurate diagnoses of COVID-19 using trained models, based on routine CT or X-ray. Wearable sensors can monitor abnormality for home-based mild COVID-19 patients. Human behavioral data can be analyzed to make better individual or community quarantine and social control policies. HI & AI can help predict the protein structures of the coronavirus. The emotional data in mental health can be utilized to help people to cope with self-quarantined people.

This Special Section aims to invite original research papers that report the latest advances of medical images based health informatics for COVID-19. Submissions should clarify the substantive improvements on work that has already been published, accepted for publication, or submitted in parallel to other conferences or journals.

The topics of interest include, but are not limited to:
 Early prediction and early detection;
 Supervised or semi-supervised learning for classification & segmentation;
 Diagnosis using biomarkers;
 Diagnosis using imaging-based data-driven methods;
 Transfer learning methods for diagnosis and segmentation;
 Explainable AI-based prediction, segmentation, and diagnosis.
for COVID-19 and related diseases. Researches on other diseases are welcome if the methods/techniques can be used in COVID-19.

Schedule:
- deadline for submissions: Dec 15, 2020
- first decision (accept/reject/revise, tentative): Feb 15, 2021
- submission of revised papers: March 15, 2021
- notification of final decision (tentative): April 15, 2021
- journal publication (tentative): May 15, 2021

Guest Editors
Prof. Yu-Dong Zhang, University of Leicester, UK
Prof. Ng Yin Kwee, Eddie, Nanyang Technological University, Singapore

Submission Guideline:

All manuscripts must be submitted via mstracker.com and authors are requested to write in their cover letter that their submission is for this special issue and the name of the guest editor, so that the guest editor can be notified separately.
Guidelines for the preparation of the manuscripts are available at the journal website http://www.aspbs.com/jmihi/inst-auth_jmihi.htm
Prospective authors should submit an electronic copy of their complete manuscript through the journal
Manuscript Tracking System at
http://mstracker.com/submit1.php?jc=jmihi

Manuscript-Processing Fees:
All new manuscripts submitted to this journal will be subjected to a Manuscript-Processing Fees. Research article publishing is not without occurring costs, and the costs have been steadily increasing. In order to defray part of the publication cost, the journal will charge manuscript-processing fees, to be paid by the authors or their affiliated research institutions. The publication fee will be used to defray part of the occurring expenses associated with manuscript processing, editorial workflow, typesetting, proofreading, printing, online-hosting, and archiving. Authors or their affiliated research institutions are required to pay US$1080 for their articles for a special issue article from all Countries. The authors will receive the PDF version of their research papers in final form. When submitting a manuscript online, it will be processed with an understanding that the corresponding authors fully agree to pay all manuscript-processing fees upon acceptance. The author who submits the manuscript to the journal is fully responsible for the manuscript-processing fees. Accepted peer-reviewed manuscripts will not be processed and forwarded to production until all fees are paid in full to the publisher. Publishers will issue an invoice of manuscript-processing fees after a manuscript has been accepted for publication. Corresponding authors will be asked to submit a signed Copyright Transfer Agreement (CTA) along with manuscript processing fees.