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Geert Litjens

Showing results (1-10 of 80) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|August 27, 2020
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel ImagesHans Pinckaers, Bram van Ginneken, Geert Litjens
Nature Medicine|May 15, 2021
Deep learning in histopathology: the path to the clinicJeroen van der Laak, Geert Litjens, Francesco Ciompi
Gigascience|June 14, 2022
A Decade of GigaScience: The Challenges of Gigapixel Pathology ImagesGeert Litjens, Francesco Ciompi, Jeroen van der Laak
Pathobiology : Journal of Immunopathology, Molecular and Cellular Biology|February 15, 2023
Artificial Intelligence in Bone Marrow Histological Diagnostics: Potential Applications and ChallengesLeander van Eekelen, Geert Litjens, Konnie M Hebeda
Nature Biomedical Engineering|October 19, 2019
No pixel-level annotations neededJeroen van der Laak, Francesco Ciompi, Geert Litjens
Computers in Biology and Medicine|January 28, 2024
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathologyKhrystyna Faryna, Jeroen van der Laak, Geert Litjens
IEEE Journal of Biomedical and Health Informatics|October 13, 2023
The Latent Doctor Model for Modeling Inter-Observer VariabilityJasper Linmans, Emiel Hoogeboom, Jeroen van der Laak, et al.
IEEE Transactions on Medical Imaging|April 29, 2014
Computer-aided detection of prostate cancer in MRIGeert Litjens, Oscar Debats, Jelle Barentsz, et al.
Medical Image Analysis|October 28, 2022
Predictive uncertainty estimation for out-of-distribution detection in digital pathologyJasper Linmans, Stefan Elfwing, Jeroen van der Laak, et al.
IEEE Transactions on Medical Imaging|March 17, 2021
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level LabelsHans Pinckaers, Wouter Bulten, Jeroen van der Laak, et al.
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Showing results (1-10 of 80) with videos related to

Sort By:
Pageof 8
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 27, 2020
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel ImagesHans Pinckaers, Bram van Ginneken, Geert Litjens
Nature Medicine|May 15, 2021
Deep learning in histopathology: the path to the clinicJeroen van der Laak, Geert Litjens, Francesco Ciompi
Gigascience|June 14, 2022
A Decade of GigaScience: The Challenges of Gigapixel Pathology ImagesGeert Litjens, Francesco Ciompi, Jeroen van der Laak
Pathobiology : Journal of Immunopathology, Molecular and Cellular Biology|February 15, 2023
Artificial Intelligence in Bone Marrow Histological Diagnostics: Potential Applications and ChallengesLeander van Eekelen, Geert Litjens, Konnie M Hebeda
Nature Biomedical Engineering|October 19, 2019
No pixel-level annotations neededJeroen van der Laak, Francesco Ciompi, Geert Litjens
Computers in Biology and Medicine|January 28, 2024
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathologyKhrystyna Faryna, Jeroen van der Laak, Geert Litjens
IEEE Journal of Biomedical and Health Informatics|October 13, 2023
The Latent Doctor Model for Modeling Inter-Observer VariabilityJasper Linmans, Emiel Hoogeboom, Jeroen van der Laak, et al.
IEEE Transactions on Medical Imaging|April 29, 2014
Computer-aided detection of prostate cancer in MRIGeert Litjens, Oscar Debats, Jelle Barentsz, et al.
Medical Image Analysis|October 28, 2022
Predictive uncertainty estimation for out-of-distribution detection in digital pathologyJasper Linmans, Stefan Elfwing, Jeroen van der Laak, et al.
IEEE Transactions on Medical Imaging|March 17, 2021
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level LabelsHans Pinckaers, Wouter Bulten, Jeroen van der Laak, et al.
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