Multidisciplinary Computational Anatomy (MCA) achieves mathematical foundation to deal with humans both from the static anatomy of organs and dynamic anatomy of living human constructed using multidisciplinary information on the human from cells to body. For the achievement of MCA from the viewpoints of visual computing, we establish a mathematical and theoretical methodologies which allow us to achieve comprehensive understanding of the human body using computer vision, mathematical imaging, pattern recognition and artificial intelligence. The workshop on mathematical image and pattern analysis for (ipaMCA) focuses on mathematical and computational aspects of biomedical imaging and image analysis and on these relations to computer vision and pattern recognition in MCA.
We call for papers for applications of the methods to anatomy, autopsy, biopsy, physiology and nano-biology. The expected areas for contributions are following. But all aspects of mathematical treatment medical imaging and image analysis are welcome.
In biomedical imaging and image analysis for MCA, the researches aim to design systems that assist medical doctors. In contrast, in computer vision researches focus construct machines that see. The forum aims to derive a bridge on this gap from the viewpoints of mathematical and computational aspects in computer vision and pattern recognition for MCA.
5 th September 2019 (No extension)
(In the same week of ACPR notification)
ACPR organisers provide acceptance letters for visa application on day of author notification
|Author notification||25 th September 2019|
|Final manuscript||15 th October 2019|