[visionlist] ICIAR 2018 special session - Novel imaging methods for diagnosis and screening of ophthalmic diseases

[publicityiciar]

ICIAR 2018 special session on
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Novel imaging methods for diagnosis and screening of ophthalmic diseases
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June 27-29, 2018, Póvoa de Varzim, Porto, Portugal
http://www.aimiconf.org/iciar18


Special Session Chairs
======================
K.A. Vermeer, PhD
Rotterdam Ophthalmic Institute, Rotterdam Eye Hospital, The Netherlands
k.vermeer at eyehospital.nl, 
http://www.roi.eyehospital.nl/person/1/koen-vermeer-phd

A.M. Mendonça, PhD
Faculty of Engineering & INESC Technology and Science, University of 
Porto, Portugal
amendon at fe.up.pt, 
https://sigarra.up.pt/feup/en/func_geral.formview?p_codigo=208752


Introduction
============
The eye provides a unique opportunity for imaging: it is largely 
transparent to visible and near-IR light which enables imaging by a 
range of optical imaging modalities. Fundus photography, fluorescence 
angiography, fundus autofluorescence and optical coherence tomography 
(OCT) are some of the technologies that are routinely used in clinical 
practice. In addition, several newer modalities are being developed and 
evaluated, such as OCT-angiography, polarization-sensitive OCT, 
multispectral imaging, oximetry and Raman spectroscopy.

The resulting 2D, 3D or 4D images provide new information on the 
morphology and pathology of the cornea, lens, choroid and retina. 
Ophthalmologists cannot manually review these datasets, because of a 
lack of time, but also because it is largely unknown where the 
clinically relevant information is hidden in these datasets.
Image analysis and recognition can help to transform these large 
datasets to clinically meaningful information. On the image level, this 
includes the extraction of relevant features, transformation of image 
data and definition of quantitative image-based biomarkers. On the level 
of large datasets, technology may aid to identify biomarkers that are 
related to a disease or to describe previously unknown effects of 
ophthalmic diseases.

Several of the mature imaging modalities are available in affordable, 
easy-to-operate and robust imaging systems, making them suited for 
screening of common ophthalmic diseases such as diabetic retinopathy, 
glaucoma and age-related macular degeneration. Image analysis may 
further automate the process of interpreting the acquired imaging by 
using conventional feature-based analysis or, in the case of large data 
sets, modern deep-learning approaches.

This session focuses on image analysis methods and systems for detection 
and screening of ophthalmic diseases.

Topics that are relevant to this special session include (but are not 
limited to):
-	Image processing to improve ophthalmic images;
-	Registration of retinal images for mosaicking or longitudinal 
analysis;
-	Image analysis for the extraction of qualitative or quantitative 
image-based biomarkers in ophthalmology;
-	Segmentation of anatomical landmarks or lesions;
-	Deep-learning approaches, including CNN and other architectures, for 
diagnosis of ophthalmic diseases;
-	Advanced machine learning architectures for screening of diabetic 
retinopathy and other ophthalmic diseases;
-	Modelling and synthesis of ophthalmic images;
-	Embedding ophthalmic image-based CAD systems in a clinical workflow


Submission procedure
====================
Authors are invited to submit full papers showing original research 
contributions. The conference proceedings will be published in the 
Springer Lecture Notes in Computer Science series (Springer LNCS). 
Prospective authors should submit an electronic copy of their complete 
manuscript through the ICIAR 2018 submission system by January 22, 2018, 
selecting the special session topic in their submission. All submitted 
papers will be reviewed by at least two independent reviewers. For more 
information please go to https://www.aimiconf.org/iciar18.


Important Dates
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●	Paper submission deadline: January 22, 2018
●	Author notification: March 12, 2018
●	Camera-ready version: March 26, 2018
●	Paper registration: April 2, 2018
●	Conference: June 27-29, 2018