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Jeroen van der Laak

Showing results (1-10 of 84) with videos related to

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Nature Medicine|May 15, 2021
Deep learning in histopathology: the path to the clinicJeroen van der Laak, Geert Litjens, Francesco Ciompi
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
Gigascience|June 14, 2022
A Decade of GigaScience: The Challenges of Gigapixel Pathology ImagesGeert Litjens, Francesco Ciompi, Jeroen van der Laak
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.
Current Opinion in Organ Transplantation|April 2, 2025
Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejectionAlton B Farris, Jeroen van der Laak, Dominique van Midden
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 24, 2019
Neural Image Compression for Gigapixel Histopathology Image AnalysisDavid Tellez, Geert Litjens, Jeroen van der Laak, et al.
Medical Image Analysis|January 16, 2024
Diffusion models for out-of-distribution detection in digital pathologyJasper Linmans, Gabriel Raya, 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.
Journal of Medical Imaging (Bellingham, Wash.)|December 11, 2023
Comparison of consecutive and restained sections for image registration in histopathologyJohannes Lotz, Nick Weiss, Jeroen van der Laak, 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.
Pageof 9

Showing results (1-10 of 84) with videos related to

Sort By:
Pageof 9
Nature Medicine|May 15, 2021
Deep learning in histopathology: the path to the clinicJeroen van der Laak, Geert Litjens, Francesco Ciompi
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
Gigascience|June 14, 2022
A Decade of GigaScience: The Challenges of Gigapixel Pathology ImagesGeert Litjens, Francesco Ciompi, Jeroen van der Laak
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.
Current Opinion in Organ Transplantation|April 2, 2025
Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejectionAlton B Farris, Jeroen van der Laak, Dominique van Midden
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 24, 2019
Neural Image Compression for Gigapixel Histopathology Image AnalysisDavid Tellez, Geert Litjens, Jeroen van der Laak, et al.
Medical Image Analysis|January 16, 2024
Diffusion models for out-of-distribution detection in digital pathologyJasper Linmans, Gabriel Raya, 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.
Journal of Medical Imaging (Bellingham, Wash.)|December 11, 2023
Comparison of consecutive and restained sections for image registration in histopathologyJohannes Lotz, Nick Weiss, Jeroen van der Laak, 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.
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