Geert Litjens
Geert Litjens
Posts
Projects
Media
Presentations
Publications
About
CV
Light
Dark
Automatic
2
Common limitations of performance metrics in biomedical image analysis
Annika Reinke
,
Matthias Eisenmann
,
Minu Dietlinde Tizabi
,
Carole H Sudre
,
Tim Rädsch
,
Michela Antonelli
,
Tal Arbel
,
Spyridon Bakas
,
Jorge Cardoso
,
Veronika Cheplygina
,
Keyvan Farahani
,
Ben Glocker
,
Doreen Heckmann-Nötzel
,
Fabian Isensee
,
Pierre Jannin
,
Charles Kahn
,
Jens Kleesiek
,
Tahsin Kurc
,
Michal Kozubek
,
Bennett A Landman
,
Geert Litjens
,
Klausv Maier-Hein
,
Anne Lousise Martel
,
Henning Müller
,
Jens Petersen
,
Mauricio Reyes
,
Nicola Rieke
,
Bram Stieltjes
,
Ronald M Summers
,
Sotirios A Tsaftaris
,
Bram van Ginneken
,
Annette Kopp-Schneider
,
Paul Jäger
,
Lena Maier-Hein
End-to-end classification on basal-cell carcinoma histopathology whole-slides images
D. Geijs
,
H. Pinckaers
,
A. Amir
,
G. Litjens
Tailoring automated data augmentation to H&E-stained histopathology
K. Faryna
,
J. van der Laak
,
G. Litjens
Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks
J. Linmans
,
J. van der Laak
,
G. Litjens
Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images
L. van Eekelen
,
H. Pinckaers
,
K. Hebeda
,
G. Litjens
Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning
Ż. Świderska-Chadaj
,
K. Hebeda
,
M. van den Brand
,
G. Litjens
No pixel-level annotations needed
J. van der Laak
,
F. Ciompi
,
G. Litjens
Learning to detect lymphocytes in immunohistochemistry with deep learning
Ż. Świderska-Chadaj
,
H. Pinckaers
,
M. van Rijthoven
,
M. Balkenhol
,
M. Melnikova
,
O. Geessink
,
Q. Manson
,
M. Sherman
,
A. Polonia
,
J. Parry
,
M. Abubakar
,
G. Litjens
,
J. van der Laak
,
F. Ciompi
Neural Image Compression for Gigapixel Histopathology Image Analysis
D. Tellez
,
G. Litjens
,
J. van der Laak
,
F. Ciompi
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
D. Tellez
,
G. Litjens
,
P. Bandi
,
W. Bulten
,
J. Bokhorst
,
F. Ciompi
,
J. van der Laak
»
Cite
×