Development of a deep learning algorithm for the detection of arteriovenous shunts.
We are continuously looking for interesting new projects. Following the weekly AI for Health meeting there is a consultation hour in which new project proposals can be discussed. To propose a new project, please fill out this form. We ask you to send the completed form to firstname.lastname@example.org and to make an appointment to discuss the project during one of the consultation hours (every Thursday afternoon 16:00 - 17:00 PM).
Radboud University MSc students are eligible to receive a monthly reimbursement of €500,- for a period of six months. The students are required to present their work in the initial phase and end of the project during the weekly meeting. An overview of current project vacancies can be seen below.
Development of a model for the automatic identification of Parkinson's disease based on a keyboard test.Read more →
Development of a deep learning algorithm for learning face representations.Read more →
A machine learning model to identify neurogenic and infectious fever in ICU patients with acute brain injury
Development of a model that can identify whether a febrile ICU patient with acute brain injury has a neurogenic fever or an infectious fever.Read more →
Develop deep learning algorithms for segmentation of muscles and fat tissue in 3D CT images.Read more →
Development of a deep learning algorithm for the automatic classification of muscle ultrasound images.Read more →
Development of a model to support treatment decisions regarding cardiovascular risk management in patients with Parkinson’s disease (PD).Read more →
Development of a model for prediction of quality of life.Read more →
Development of automatic classification algorithm for psoriasis in photographs of the body.Read more →