prof. dr. Eric Postma

Rudokaite, J., Ong, LL. S., Janssen, M., Postma, E., & Veld, E. H. I. . (2022). Predicting vasovagal reactions to a virtual blood donation using facial image analysis. Transfusion.

Hendrix, N., Scholten, E., Vernhout, B., Bruijnen, S., Maresch, B., de Jong, M., Diepstraten, S., Bollen, S., Schalekamp, S., de Rooij, M., Scholtens, A., Hendrix, W., Samson, T., Ong, S., Postma, E., van Ginneken, B., & Rutten, M. (2021). Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs. Radiology: Artificial Intelligence, 3(4), e200260. [e200260].

Mohammedkhan, H., Balvert, M., Güven, Ç., & Postma, E. (Accepted/In press). Predicting human body dimensions from single images: A first step in automatic malnutrition detection. In Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI EAI. https://aiforpeople.org/conference/assets/papers/CAIP21-P06.pdf

Liebregts, W., Darnihamedani, P., Postma, E., & Atzmueller, M. (2020). The promise of social signal processing for research on decision-making in entrepreneurial contexts. Small Business Economics: An International Journal, 55(3), 589-605.

Nanne, A., Antheunis, M., van der Lee, C., Postma, E., Wubben, S., & van Noort, G. (2020). The use of computer vision to analyze brand-related user generated image content. Journal of Interactive Marketing, 50, 156-167.