prof. dr. Eric Postma

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, e200260.

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.

Postma, E., & Postma, M. (2020). Can AI help to avert the environmental great filter? In E. Aarts, H. Fleuren, M. Sitskoorn, & T. Wilthagen (Eds.), The New Common (pp. 176-181). Open Press TiU. https://digi-courses.com/openpresstiu-the-new-common/

van Lieshout, C., van Oeveren, K., van Emmerik, T., & Postma, E. (2020). Automated River Plastic Monitoring Using Deep Learning and Cameras. Earth and space science, 7(8), [ARTN e2019EA000960].