Publications

Zaneta Swiderska-Chadaj, Konnie Hebeda, Michiel Van Den Brand, Geert Litjens (2020). Common limitations of performance metrics in biomedical image analysis. Medical Imaging.
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Wouter Bulten, Hans Pinckaers, Hester Van Boven, Robert Vink, Thomas De Bel, Bram Van Ginneken, Jeroen Van Der Laak, Christina Hulsbergen Van De Kaa, Geert Litjens (2020). Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study. Lancet Oncol.
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Zaneta Swiderska-Chadaj, Konnie M. Hebeda, Michiel Van Den Brand, Geert Litjens (2020). Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma. Virchows Arch.
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Oscar A. Debats, Geert J. S. Litjens, Henkjan J. Huisman (2019). Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks. PeerJ.
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Jeroen Van Der Laak, Francesco Ciompi, Geert Litjens (2019). No pixel-level annotations needed. Nat Biomed Eng.
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Geert Litjens, Francesco Ciompi, Jelmer M Wolterink, Bob D De Vos, Tim Leiner, Jonas Teuwen, Ivana Išgum (2019). State-of-the-Art Deep Learning in Cardiovascular Image Analysis.. JACC Cardiovascular Imaging.
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David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen Van Der Laak (2019). Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.. Med Image Anal.
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David Tellez, Geert Litjens, Jeroen Van Der Laak, Francesco Ciompi (2019). Neural Image Compression for Gigapixel Histopathology Image Analysis. IEEE Trans Pattern Anal Mach Intell.
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Zaneta Swiderska-Chadaj, Hans Pinckaers, Mart Van Rijthoven, Maschenka Balkenhol, Margarita Melnikova, Oscar Geessink, Quirine Manson, Mark Sherman, Antonio Polonia, Jeremy Parry, Mustapha Abubakar, Geert Litjens, Jeroen Van Der Laak, Francesco Ciompi (2019). Learning to detect lymphocytes in immunohistochemistry with deep learning. Med Image Anal.
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Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram Van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan H. Heckers, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso (2019). A large annotated medical image dataset for the development and evaluation of segmentation algorithms. arXiv:1902.09063.
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