ABOUT MEDIMAGE-2018
The camera-ready instructions are now available on the Submissions page. Deadline: December 10, 2018 (11:59 pm Pacific Time).
The paper submission deadline is extended to November 12, 2018 (11:59 pm Pacific Time).
MedImage-2018 is the fifth in a series of
workshops that bring together researchers in the fields of medical and
biological image analysis, with a special focus on methods and applications
in the field of medical image computing.
Medical image computing,
sometimes also referred to as medical vision, is an interdisciplinary field
at the intersection of computer science, data science (including machine
learning), electrical engineering, physics, mathematics, and
medicine. Broadly speaking, the field focuses on automatic processing of
information in medical image data. Research in medical image computing
typically involves algorithm innovation that relies on advanced strategies
for mathematical modelling (e.g., geometrical, statistical, physical,
functional, etc.) and inference (e.g., involving solving optimization
problems).
MedImage focuses on medical imaging modalities
including, but not limited to, magnetic resonance imaging (MRI), X ray,
computed tomography (CT), imaging in nuclear medicine, medical ultrasound,
optical and confocal microscopy, and video and range data images. MedImage
is interested in the analysis of image datasets spanning a wide range of
scales from molecules and cells to tissues and organs.
Typical problems
and methods in medical image analysis include, but are not limited to, image reconstruction
and compressed sensing, visualization, image enhancement, feature extraction, image
segmentation, inter-study and inter-subject image registration, longitudinal and temporal
studies, image-guided surgery and intervention, texture analysis, motion analysis,
statistical shape analysis, spectral analysis, digital anatomical atlases, computational
anatomy (modelling normal anatomy and its variations), virtual and augmented reality for
therapy planning and guidance, telemedicine with medical images, telesurgery and
image-guided medical robots.
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