Publications of Geert Litjens

all all years 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 and before

2024

Papers in international journals

  1. 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.
    Abstract DOI PMID
  2. K. Faryna, L. Tessier, J. Retamero, S. Bonthu, P. Samanta, N. Singhal, S. Kammerer-Jacquet, C. Radulescu, V. Agosti, A. Collin, X. Farre', J. Fontugne, R. Grobholz, A. Hoogland, K. Leite, M. Oktay, A. Polonia, P. Roy, P. Salles, T. van der Kwast, J. van Ipenburg, J. van der Laak and G. Litjens, "Evaluation of AI-based Gleason grading algorithms "in the wild"", Modern Pathology, 2024:100563.
    Abstract DOI PMID
  3. J. An, Y. Wang, Q. Cai, G. Zhao, S. Dooper, G. Litjens and Z. Gao, "Transformer-Based Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification", IEEE Journal of Biomedical and Health Informatics, 2024:1-14.
    Abstract DOI PMID
  4. P. Vendittelli, J. Bokhorst, E. Smeets, V. Kryklyva, L. Brosens, C. Verbeke and G. Litjens, "Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer", PLOS ONE, 2024;19:e0301969.
    Abstract DOI PMID
  5. L. Maier-Hein, A. Reinke, P. Godau, M. Tizabi, F. Buettner, E. Christodoulou, B. Glocker, F. Isensee, J. Kleesiek, M. Kozubek, M. Reyes, M. Riegler, M. Wiesenfarth, A. Kavur, C. Sudre, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, T. Rädsch, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, M. Blaschko, M. Cardoso, V. Cheplygina, B. Cimini, G. Collins, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, R. Haase, D. Hashimoto, M. Hoffman, M. Huisman, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, A. Karthikesalingam, F. Kofler, A. Kopp-Schneider, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, P. Mattson, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, N. Rajpoot, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, M. van Smeden, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux and P. Jäger, "Metrics reloaded: recommendations for image analysis validation", Nature Methods, 2024;21:195-212.
    Abstract DOI PMID Cited by ~50
  6. A. Reinke, M. Tizabi, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, A. Kavur, T. Rädsch, C. Sudre, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, F. Buettner, M. Cardoso, V. Cheplygina, J. Chen, E. Christodoulou, B. Cimini, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, B. Glocker, P. Godau, D. Hashimoto, M. Hoffman, M. Huisman, F. Isensee, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, J. Kleesiek, F. Kofler, T. Kooi, A. Kopp-Schneider, M. Kozubek, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, S. Rafelski, N. Rajpoot, M. Reyes, M. Riegler, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux, Z. Yaniv, P. Jäger and L. Maier-Hein, "Understanding metric-related pitfalls in image analysis validation", Nature Methods, 2024;21:182-194.
    Abstract DOI PMID Cited by ~17
  7. K. Faryna, J. van der Laak and G. Litjens, "Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology", Computers in Biology and Medicine, 2024;170:108018.
    Abstract DOI PMID
  8. D. Schouten, J. van der Laak, B. van Ginneken and G. Litjens, "Full resolution reconstruction of whole-mount sections from digitized individual tissue fragments", Scientific Reports, 2024;14.
    Abstract DOI PMID
  9. J. Linmans, G. Raya, J. van der Laak and G. Litjens, "Diffusion models for out-of-distribution detection in digital pathology", Medical Image Analysis, 2024;93:103088.
    Abstract DOI PMID Cited by ~4
  10. 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.
    Abstract DOI PMID
  11. G. Solé-Guardia, M. Luijten, E. Janssen, R. Visch, B. Geenen, B. Küsters, J. Claassen, G. Litjens, F. de Leeuw, M. Wiesmann and A. Kiliaan, "Deep learning-based segmentation in MRI-(immuno)histological examination of myelin and axonal damage in normal-appearing white matter and white matter hyperintensities", Brain Pathology, 2024.
    Abstract DOI
  12. F. Khoraminia, F. de Jong, F. Akram, G. Litjens, M. Jansen, A. Gonzalez, D. Lichtenburg, A. Stubbs, N. Khalili and T. Zuiverloon, "Abstract B004: Deep learning unveils molecular footprints in histology: predicting molecular subtypes from bladder cancer histology slides", Clinical Cancer Research, 2024;30:B004-B004.
    Abstract DOI
  13. G. Solé-Guardia, M. Luijten, B. Geenen, J. Claassen, G. Litjens, F. de Leeuw, M. Wiesmann and A. Kiliaan, "Three-dimensional identification of microvascular pathology and neurovascular inflammation in severe white matter hyperintensity: a case report", Scientific Reports, 2024;14.
    Abstract DOI

Preprints

  1. D. Schouten, G. Nicoletti, B. Dille, C. Chia, P. Vendittelli, M. Schuurmans, G. Litjens and N. Khalili, "Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications", arXiv:2411.03782, 2024.
    Abstract DOI arXiv
  2. C. Grisi, G. Litjens and J. van der Laak, "Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers", arXiv:2404.18152, 2024.
    Abstract DOI arXiv
  3. N. Khalili, J. Spronck, F. Ciompi, J. van der Laak and G. Litjens, "Uncertainty-guided annotation enhances segmentation with the human-in-the-loop", arXiv:2404.07208, 2024.
    Abstract DOI arXiv

Papers in conference proceedings

  1. K. Faryna, J. van der Laak and G. Litjens, "Towards embedding stain-invariance in convolutional neural networks for H&E-stained histopathology", Medical Imaging 2024: Digital and Computational Pathology, 2024.
    Abstract DOI

Abstracts

  1. D. Schouten, N. Khalili, J. van der Laak and G. Litjens, "Full Resolution Three-Dimensional Reconstruction of Non-Serial Prostate Whole-Mounts: Pilot Validation and Initial Results", European Congress on Digital Pathology, 2024.
    Abstract
  2. M. D'Amato, A. Boden, P. van Diest, N. Stathonikos, H. Hoefling, F. Versaevel, G. Litjens, F. Ciompi and J. van der Laak, "Automated Quality Control in Histopathology through Artifact Segmentation", European Congress on Digital Pathology, 2024.
    Abstract