Institute of Machine Learning in Biomedical Imaging
Computational Health CenterThe Institute of Machine Learning in Biomedical Imaging (IML) focuses on research to leverage machine learning for the grand challenges in biomedical imaging in areas of unmet clinical need. Its goal is to fundamentally transform the use of imaging for diagnostics and prognostics. Novel and affordable solutions should empower clinics to make more accurate, fast and reliable decisions for early detection, treatment planning and improved patient outcome. Julia Schnabel’s research focus is on applications in cancer, cardiovascular diseases, and maternal/perinatal health.
For more information on our team, up to date research news and open positions, please visit our website.
The Institute of Machine Learning in Biomedical Imaging (IML) focuses on research to leverage machine learning for the grand challenges in biomedical imaging in areas of unmet clinical need. Its goal is to fundamentally transform the use of imaging for diagnostics and prognostics. Novel and affordable solutions should empower clinics to make more accurate, fast and reliable decisions for early detection, treatment planning and improved patient outcome. Julia Schnabel’s research focus is on applications in cancer, cardiovascular diseases, and maternal/perinatal health.
For more information on our team, up to date research news and open positions, please visit our website.