Geert Litjens
Geert Litjens
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State-of-the-Art Deep Learning in Cardiovascular Image Analysis.
G. Litjens
,
F. Ciompi
,
J. Wolterink
,
B. de Vos
,
T. Leiner
,
J. Teuwen
,
I. Išgum
Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology
T. de Bel
,
M. Hermsen
,
J. Kers
,
J. van der Laak, G. Litjens
Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks.
Lilija Aprupe
,
Geert Litjens
,
Titus J. Brinker
,
Jeroen van der Laak
,
Niels Grabe
High resolution whole prostate biopsy classification using streaming stochastic gradient descent
H. Pinckaers
,
W. Bulten
,
G. Litjens
Automated segmentation of epithelial tissue in prostatectomy slides using deep learning
W. Bulten
,
C. Hulsbergen - van de Kaa
,
J. van der Laak
,
G. Litjens
Automatic color unmixing of IHC stained whole slide images
D. Geijs
,
M. Intezar
,
J. van der Laak
,
G. Litjens
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection
D. Tellez
,
M. Balkenhol
,
N. Karssemeijer
,
G. Litjens
,
J. van der Laak
,
F. Ciompi
Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images
Ż. Świderska-Chadaj
,
H. Pinckaers
,
M. van Rijthoven
,
M. Balkenhol
,
M. Melnikova
,
O. Geessink
,
Q. Manson
,
G. Litjens
,
J. van der Laak
,
F. Ciompi
Comparison of Different Methods for Tissue Segmentation In Histopathological Whole-Slide Images
P. Bandi
,
R. de Loo
,
M. Intezar
,
D. Geijs
,
F. Ciompi
,
B. van Ginneken
,
J. der Laak
,
G. Litjens
The importance of stain normalization in colorectal tissue classification with convolutional networks
F. Ciompi
,
O. Geessink
,
B. Bejnordi
,
G. Silva de Souza
,
A. Baidoshvili
,
G. Litjens
,
B. van Ginneken
,
I. Nagtegaal
,
J. van der Laak
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