To kickstart our new section devoted to artificial intelligence (AI), deep learning (DL), and machine learning (ML), our forthcoming special issue welcomes contributions on AI, DL and ML in relation to the retina, including, but not limited to:
Dr. Anat Loewenstein and Prof. Emanuele Trucco, members of MAIO’s Editorial Board, will serve as guest editors for this issue.
The deadline for submissions is January 15, 2021. Journal guidelines and templates are available here.
This special issue of the Journal for Modeling in Ophthalmology collects, in the form of extended abstracts, contributions presented during the Thematic Symposium on Eye Biomechanics, organized within the VII Annual Meeting of the Italian Chapter of the European Society of Biomechanics (ESB-ITA 2017) held on September 28-29, 2017 in Rome, Italy.
You may see the Table of Contents and full issue here.
This issue features highlights of research presented at ARVO as, to quote from the editorial by R.J. Braun:
"At the ARVO annual meeting, the contributions that involve significant mathematical modeling of ocular physiology and procedures is on the increase. There has long been significant use of statistical methods for understanding data from a variety of uses such as in-vivo measurements and human trials of various sorts."
Furthermore, there is a very interesting study on Racial differences in the correlations between structural parameters and ocular blood flow in healthy eyes.
Two more articles will be added shortly, so do keep an eye out on the table of contents.
See the full issue here
The REVAMMAD project, part of the EU's Marie Curie Initial Training Network programme, is training a community of early career researchers in retinal vascular modelling, measurement (image processing and analysis) and retinal diagnosis.
Its aim is to create a community of interdisciplinary experts with the scientific and mathematical expertise to determine how physiological changes can affect the vasculature, the computer vision skills to detect measurements that are correlated to such changes, and the medical expertise to relate these to effective prognosis and diagnosis.
See the full issue here
The REVAMMAD project, part of the EU's Marie Curie Initial Training Network programme, is training a community of early career researchers in retinal vascular modelling, measurement (image processing and analysis) and retinal diagnosis.
Introducing the second issue of Journal for Modeling in Ophthalmology, we hope the reader will enjoy both clinical and theoretical insights on glaucoma in short papers that followed the International Congress on Advanced Technologies and Treatments for Glaucoma (ICATTG15) held in Milan (Italy), October 29-31, 2015
While the rapid advance of imaging technologies in ophthalmology is making available a continually increasing number of data, the interpretation of such data is still very challenging and this hinders the advance in the understanding of ocular diseases and their treatment. Interdisciplinary approaches encompassing ophthalmology, physiology, mathematics and engineering have shown great capabilities in data analysis and interpretation for advancing basic and applied clinical sciences. The Journal for Modeling in Ophthalmology (JMO) was created in 2014 with the aim of providing a forum for interdisciplinary approaches integrating mathematical and computational modeling techniques to address open problems in ophthalmology. JMO welcomes articles that use modeling techniques to investigate questions related to the anatomy, physiology and function of the eye in health and disease.
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