Deep Imaging

Flagship Deep Imaging


in Deep Imaging
Position 50.12.19

Quantitative Susceptibility MRI

Upon close inspection seemingly distinct problems are often underpinned by the same scientific challenges. In this project we face this situation in relation to diagnosing heart disease and improving neurosurgery. The challenge we take up is to use Magnetic Resonance Imaging (MRI) to detect tiny magnetic field alterations, called susceptibilities, induced by the vessel networks in the heart and brain. Advanced post-processing and machine learning...

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in Deep Imaging
Position 50.15.19

Targeted Radio-molecules for High Precision Cancer Therapy

We are looking for two self-motivated postdocs with a strong interest in working in a flagship multidisciplinary project between Erasmus MC and TU Delft on high precision cancer therapy, supported by the Convergence initiative. In this project we will develop novel theranostics targeting fibroblast activation protein (FAP) labeled (i) with various radionuclides to visualize and destroy cancer cells, and (ii) fluorescent dyes that can be used for ...

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in Deep Imaging
Position 50.13.19

Deep Imaging of electro-mechanics of organs

We are looking for two self-motivated postdocs with a strong interest in working in a flagship multidisciplinary project between Erasmus MC and TU Delft on the topic of electromechanics of organs, supported by the Convergence initiative. Cardiac fibrillation is characterized by an irregular, fast heart rate that can increase your risk of strokes, heart failure and other heart-related complications. Unfortunately, cardiac arrhythmias are the cardi...

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in Deep Imaging
Position 50.14.19

Deep Imaging - Genetics for Osteoarthritis

Scientists from Erasmus MC University Medical Centre Rotterdam and Delft University of Technology have joined forces to work towards improved care of patients with knee osteoarthritis. Using state-of-the-art artificial intelligence techniques, the researchers will develop advanced computer algorithms for clinical decision support. These algorithms construct a detailed, personal profile of each individual patient, based on clinical measures, imagi...

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