J. Linmans, E. Hoogeboom, J. van der Laak and G. Litjens, "The Latent Doctor Model for Modeling Inter-Observer Variability",
IEEE Journal of Biomedical and Health Informatics,
2023:1-12.
S. Dooper, H. Pinckaers, W. Aswolinskiy, K. Hebeda, S. Jarkman, J. van der Laak and G. Litjens, "Gigapixel end-to-end training using streaming and attention",
Medical Image Analysis,
2023;88:102881.
B. Laarhuis, M. Janssen, M. Simons, L. van Kalmthout, M. van der Doelen, S. Peters, H. Westdorp, I. van Oort, G. Litjens, M. Gotthardt, J. Nagarajah, N. Mehra and B. Prive, "Tumoral Ki67 and PSMA Expression in Fresh Pre-PSMA-RLT Biopsies and Its Relation With PSMA-PET Imaging and Outcomes of PSMA-RLT in Patients With mCRPC.",
Clinical Genitourinary Cancer,
2023.
L. van Eekelen, G. Litjens and K. Hebeda, "Artificial intelligence in bone marrow histological diagnostics: potential applications and challenges.",
Pathobiology,
2023.
J. Linmans, S. Elfwing, J. van der Laak and G. Litjens, "Predictive uncertainty estimation for out-of-distribution detection in digital pathology.",
Medical Image Analysis,
2023;83:102655.
P. Bándi, M. Balkenhol, M. van Dijk, M. Kok, B. van Ginneken, J. van der Laak and G. Litjens, "Continual learning strategies for cancer-independent detection of lymph node metastases",
Medical Image Analysis,
2023;85:102755.
C. Grisi, G. Litjens and J. van der Laak, "Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images",
arXiv:2312.12619,
2023.
D. Schouten and G. Litjens, "PythoStitcher: an iterative approach for stitching digitized tissue fragments into full resolution whole-mount reconstructions",
Medical Imaging,
2023;12471:1247118.
P. Vendittelli, J. Bokhorst, E. Smeets, V. Kryklyva, L. Brosens, C. Verbeke and G. Litjens, "Automatic quantification of TSR as a prognostic marker for pancreatic cancer.",
Medical Imaging with Deep Learning,
2023.