Deep learning systems are typically trained with a static procedure; the system is trained once using a fixed set of samples. However, when employed in clinical practice, static systems are prone to failure in cases with atypical patient anatomy or pathology. Furthermore, the dynamic nature of medical data may require continuous updates to a trained deep learning system. In this project, dynamic learning strategies will be developed to allow deep learning algorithms to learn from new data and thereby increase their robustness.
The successful candidate will develop methodology for the functional analysis of MR images of the heart. In most patients, we expect that accurate automatic analysis can be obtained using static training of deep learning algorithms. However, in a small fraction of patients image quality or patient anatomy will cause automatic methods to fail. Those cases need to be automatically identified, so that an expert can provide feedback that will be used to update the algorithms. In this way, the system will be able to constantly adapt to abnormal cases.
The research will be carried out at the Image Sciences Institute (ISI). ISI is housed within the Imaging Division of the University Medical Center Utrecht. This enables close collaboration between image scientists and radiologists. You will be working in a team of PhD students, PostDocs and Scientific Software Engineers working in the field of image processing and analysis, as well as with the team of radiologists.
PhD research projects conducted at the ISI are embedded in the PhD program Medical Imaging (ImagO). ImagO provides a broad course program for its PhD students, in the framework of the Utrecht Graduate School for Life Sciences, and organizes various scientific workshops and colloquia.
We are looking for an excellent candidate with an M.Sc. degree in (biomedical) engineering,
artificial intelligence, computer science, image sciences or a comparable training, with a strong interest in medical image processing and analysis. The candidate must have a good scientific background, should be highly motivated and independent, and able to work in an interdisciplinary team of medical doctors and engineers. Programing experience is required.
The maximum salary for this position (100%) is € 2.903,00 gross per month based on full-time employment (work week 36 hours). This job is based on a temporary position for 4 years.
If you have any questions about this vacancy, please contact Mrs.Dr I Isgum, Associate Professor, phone 088 7553173. Email email@example.com.
Acquisition based on this jobopening is not appreciated.