BioImage Informatics

The BioImage Informatics (BII) conference will bring together researchers and practitioners in the field of image informatics for the life sciences. The BII conference was created in 2005 to establish a unique communication network among the scientists working in the field of BioImage Informatics.

Seeing is Believing

Seeing is Believing

The symposium will bring together the leading developers of imaging methods with cutting edge applications that illustrate how imaging can answer biological questions. We will place emphasis on methods that are able to capture the dynamics of life, spanning the whole range from molecular resolution to imaging of whole organisms.

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International Symposium on Biomedical Imaging

International Symposium on Biomedical Imaging

  • ISBI 2016 April 13-16, 2016, at the Clarion Congress Hotel in Prague, Czech Republic.
  • ISBI 2015 April 16-19, 2015, at the New York Marriott at Brooklyn Bridge, Brooklyn, NY, USA.
  • ISBI 2014 April 29-May 2, 2014, at the Renaissance Beijing Capital Hotel in Beijing, China.
  • ISBI 2012 April 7-11, 2013, at the Westin Hotel in San Francisco, California, USA.

The International Symposium on Biomedical Imaging (ISBI) is a premier peer-reviewed scientific conference dedicated to mathematical, algorithmic, and computational aspects of biomedical imaging using innovative imaging modalities on humans and small animals.

Bioimaging

Bioimaging 2016

Bioimaging is a term that covers the complex chain of acquiring, processing and visualizing structural or functional images of living objects or systems, including extraction and processing of image-related information. Examples of image modalities used in bioimaging are many, including: X-ray, CT, MRI and fMRI, PET and HRRT PET, SPECT, MEG and so on.

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Quantitative BioImaging

Quantitative BioImaging

The idea for a conference on Quantitative BioImaging (QBI) followed from the recognition that there is no conference to date that addresses, in a focused and interdisciplinary manner, the analysis of bioimaging data. It will bring together researchers from engineering, (bio)physics, biology and chemistry who work on quantitative aspects of microscopy.