V. Varra, K. Shahwan, K. Johnson, R. Kirven, T. Walker, D. Geijs, G. Litjens and D. Carr, "Deep Learning for Automated Segmentation of Basal Cell Carcinoma on Mohs Micrographic Surgery Frozen Section Slides",
Dermatologic Surgery,
2024.
D. Geijs, L. Hillen, S. Dooper, V. Winnepenninckx, V. Varra, D. Carr, K. Shahwan, G. Litjens and A. Amir, "Weakly-supervised classification of Mohs surgical sections using artificial intelligence",
Modern Pathology,
2024:100653.
E. Smeets, M. Trajkovic-Arsic, D. Geijs, S. Karakaya, M. van Zanten, L. Brosens, B. Feuerecker, M. Gotthardt, J. Siveke, R. Braren, F. Ciompi and E. Aarntzen, "Histology-Based Radiomics for [18F]FDG PET Identifies Tissue Heterogeneity in Pancreatic Cancer",
Journal of Nuclear Medicine,
2024:jnumed.123.266262.
D. Geijs, S. Dooper, W. Aswolinskiy, L. Hillen, A. Amir and G. Litjens, "Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning",
Medical Image Analysis,
2024;93:103063.
C. Lems, D. Geijs, J. Bokhorst, M. Sülter, L. van Eekelen and F. Ciompi, "Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning",
2024 IEEE International Symposium on Biomedical Imaging (ISBI),
2024:1-4.