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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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A funded PhD position is available to develop novel imaging techniques for wound monitoring including algorithms for image processing and prediction. The PhD student will become part of a large
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. Proficiency with computer programs – specifically MS Office Suites. Desirable Qualifications: Experience with electrophysiology and/or two-photon or fluorescent imaging. Experience with programming (Matlab and
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-resolution microscopy by the “re-scan confocal” technique. Here the confocal spot that is scanned through the sample is re-imaged onto a conventional camera, enabling advances in resolution and signal-to-noise
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“Re-scan confocal” technique | Optical imaging, and development of experimental setups | The PhD position is part of research of prof. Bernd Rieger and prof. Sjoerd Stallinga , in which we target
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experience in the areas of computer science, image processing, high performance computing, mathematics, and medicine. Dr Yanda Meng (Computer Vision, Medical Image Analysis, LLM), Prof Aline Villavicencio
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Vacancies PhD position on Interactive Magnetic Resonance Imaging for Image-guided Interventions Key takeaways Performing accurate and effective minimally invasive interventions requires a
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intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You will focus on the acquisition, processing, curation, and modeling of quantitative MRI data of healthy human brains and
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intelligence) to achieve a breakthrough in microstructure imaging with MRI. You will focus on the acquisition, processing, curation, and modeling of quantitative MRI data of healthy mice and mice models
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-driven approach to microstructure imaging” (ADAMI), funded by the European Union. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing