Deep Learning Analytics for Medical Images
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BREAST DENSITY COMPUTATION
WHAT WE DO
Automated evaluation of your personal medical images
Deep learning analysis of big medical data sets
Development of predictive analytical solutions for medical data
b-rayZ is a spin-off of the University Hospital Zurich.
Our team consists of professional radiologists, data scientists and physicians, with more than 15 years of work experience in medical imaging and radiology.
We develop and provide predictive deep learning analytical tools and algorithms for the assessment of your personal medical images.
Andreas Boss is chief senior physician at the Department for Diagnostic and Interventional Radiology of the University Hospital Zurich. He is an acknowledged expert in the field of diagnostic breast imaging and scientific data analyses.
Anton Becker is a resident physician at the Department for Diagnostic and Interventional Radiology of the University Hospital Zurich. His main focus lies in the field of quantitative machine learning algorithms for clinical diagnosis and breast imaging.
Alexander Ciritsis is a medical physicist and data analyst at the Department for Diagnostic and Interventional Radiology of the University Hospital Zurich. He is specialized in
deep learning algorithms for medical imaging data.
Cristina Rossi is a natural scientist and data analyst at the Department for Diagnostic and Interventional Radiology of the University Hospital Zurich. Her expertises include quantitative medical imaging evaluation and Big Data analyses.
A. Becker, A. Boss
A. Ciritsis, C. Rossi, A. Boss
A. Becker, A. Boss
Effective Date: November 9, 2017
NOTE: b-rayZ® services are not intended to address life-threatening medical conditions. The b-rayZ® cannot be held responsible for accuracy of results or for any data or valuable information leaked to the public.
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