van der Laak, Jeroen

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Bandi, P., Geessink, O., Manson, Q., Van Dijk, M., Balkenhol, M., Hermsen, M., Ehteshami Bejnordi, B., Lee, B., Paeng, K., Zhong, A., et al. (2019) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 569

Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images

van Eekelen, L., Spronck, J., Looijen-Salamon, M., Vos, S., Munari, E., Girolami, I., Eccher, A., Acs, B., Boyaci, C., de Souza, G. S., et al. (2024) · Scientific Reports

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 21

Uncertainty-guided annotation enhances segmentation with the human-in-the-loop

Khalili, N., Spronck, J., Ciompi, F., van der Laak, J., & Litjens, G. (2024) · arXiv

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 1