Computational Health Center
Institute of Machine Learning in Biomedical Imaging
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 transform the use of imaging for diagnostics and prognostics fundamentally. Novel and affordable solutions should empower clinics to make more accurate, fast, and reliable decisions for early detection, treatment planning, and improved patient outcomes. 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 transform the use of imaging for diagnostics and prognostics fundamentally. Novel and affordable solutions should empower clinics to make more accurate, fast, and reliable decisions for early detection, treatment planning, and improved patient outcomes. 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.
Our Team
Director, Institute of Machine Learning in Biomedical Imaging
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Office & Project Management
Science Manager
PostDoc
PostDoc & Scientific Project Manager
PostDoc
PostDoc
PostDoc
PostDoc
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD student