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Geert Litjens

Showing results (51-60 of 80) with videos related to

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Computers in Biology and Medicine|July 16, 2022
Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detectionLisa C Adams, Marcus R Makowski, Günther Engel, et al.
Medical Image Analysis|August 5, 2017
A survey on deep learning in medical image analysisGeert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, et al.
IEEE Transactions on Medical Imaging|March 9, 2016
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional NetworksArnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, et al.
Scientific Reports|January 31, 2019
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standardWouter Bulten, Péter Bándi, Jeffrey Hoven, et al.
Brain Pathology (Zurich, Switzerland)|August 23, 2024
Deep learning-based segmentation in MRI-(immuno)histological examination of myelin and axonal damage in normal-appearing white matter and white matter hyperintensitiesGemma Solé-Guardia, Matthijs Luijten, Esther Janssen, et al.
Virchows Archiv : an International Journal of Pathology|May 11, 2026
The evolution of prostate cancer grading: from Gleason score to risk taxonomy and the artificial intelligence revolutionEnrico Munari, Pietro Antonini, Luca Cima, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional NetworksDavid Tellez, Maschenka Balkenhol, Irene Otte-Holler, et al.
JACC. Cardiovascular Imaging|May 1, 2026
Deep Learning for Cardiac Image Analysis: Unveiling Advances in Deep Learning ArchitecturesJoske L van der Zande, Laura Alvarez-Florez, Rick H J A Volleberg, et al.
Medical Image Analysis|September 3, 2019
Learning to detect lymphocytes in immunohistochemistry with deep learningZaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, et al.
Breast (Edinburgh, Scotland)|February 28, 2021
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognosticsMaschenka Ca Balkenhol, Francesco Ciompi, Żaneta Świderska-Chadaj, et al.
Pageof 8

Showing results (51-60 of 80) with videos related to

Sort By:
Pageof 8
Computers in Biology and Medicine|July 16, 2022
Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detectionLisa C Adams, Marcus R Makowski, Günther Engel, et al.
Medical Image Analysis|August 5, 2017
A survey on deep learning in medical image analysisGeert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, et al.
IEEE Transactions on Medical Imaging|March 9, 2016
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional NetworksArnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, et al.
Scientific Reports|January 31, 2019
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standardWouter Bulten, Péter Bándi, Jeffrey Hoven, et al.
Brain Pathology (Zurich, Switzerland)|August 23, 2024
Deep learning-based segmentation in MRI-(immuno)histological examination of myelin and axonal damage in normal-appearing white matter and white matter hyperintensitiesGemma Solé-Guardia, Matthijs Luijten, Esther Janssen, et al.
Virchows Archiv : an International Journal of Pathology|May 11, 2026
The evolution of prostate cancer grading: from Gleason score to risk taxonomy and the artificial intelligence revolutionEnrico Munari, Pietro Antonini, Luca Cima, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional NetworksDavid Tellez, Maschenka Balkenhol, Irene Otte-Holler, et al.
JACC. Cardiovascular Imaging|May 1, 2026
Deep Learning for Cardiac Image Analysis: Unveiling Advances in Deep Learning ArchitecturesJoske L van der Zande, Laura Alvarez-Florez, Rick H J A Volleberg, et al.
Medical Image Analysis|September 3, 2019
Learning to detect lymphocytes in immunohistochemistry with deep learningZaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, et al.
Breast (Edinburgh, Scotland)|February 28, 2021
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognosticsMaschenka Ca Balkenhol, Francesco Ciompi, Żaneta Świderska-Chadaj, et al.
Pageof 8