Explainable Artificial Intelligence to unravel genetic architecture of complex traits. In his words: “While we have learned that most diseases have a genetic component, we are still far away from understanding the underlying processes. Using Artificial Intelligence, I will investigate the complex relationship between DNA mutations and human health. This will be the basis for …
The paper entitled Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis was accepted by International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). MICCAI is the most influential academic conference in the field of medical image analysis. In MICCAI 2021, there were over 2550 attendees, and 533 …
Paper about bias mitigation in machine learning was accepted by MICCAI Read More »
Agatha van Luteren-van Meijer and Vid Prijatelj both presented their research titled “Adherence to the Dutch Dietary Guidelines and Dental Caries Among Teenagers” and “Mandibular Cortical Width is Associated With Teenage Bone Mineral Density“, respectively, at the 2021 IADR/AADR/CADR General Session. Their respective presentation IDs were 1669 and 1565. Congratulations to both!
Francien Veenman works on the oral microbiome as risk factor for dental caries. The primary aim of this project is to understand how the oral microbiome influences oral health and the caries disease process in children. Dental plaque samples that were collected in the Generation R Study will be analyzed. Francien holds a Master in …
