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.