Geert Litjens
Geert Litjens
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From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge
P. Bandi
,
O. Geessink
,
Q. Manson
,
M. van Dijk
,
M. Balkenhol
,
M. Hermsen
,
B. Bejnordi
,
B. Lee
,
K. Paeng
,
A. Zhong
,
Q. Li
,
F. Zanjani
,
S. Zinger
,
K. Fukuta
,
D. Komura
,
V. Ovtcharov
,
S. Cheng
,
S. Zeng
,
J. Thagaard
,
A. Dahl
,
H. Lin
,
H. Chen
,
L. Jacobsson
,
M. Hedlund
,
M. Cetin
,
E. Halici
,
H. Jackson
,
R. Chen
,
F. Both
,
J. Franke
,
H. Kusters-Vandevelde
,
W. Vreuls
,
P. Bult
,
B. van Ginneken
,
J. van der Laak
,
G. Litjens
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
G. Litjens
,
P. Bandi
,
B. Ehteshami Bejnordi
,
O. Geessink
,
M. Balkenhol
,
P. Bult
,
A. Halilovic
,
M. Hermsen
,
R. van de Loo
,
R. Vogels
,
Q. Manson
,
N. Stathonikos
,
A. Baidoshvili
,
P. van Diest
,
C. Wauters
,
M. van Dijk
,
J. van der Laak
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
D. Tellez
,
M. Balkenhol
,
I. Otte-Höller
,
R. van de Loo
,
R. Vogels
,
P. Bult
,
C. Wauters
,
W. Vreuls
,
S. Mol
,
N. Karssemeijer
,
G. Litjens
,
J. van der Laak
,
F. Ciompi
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
B. Ehteshami Bejnordi
,
M. Veta
,
P. van Diest
,
B. van Ginneken
,
N. Karssemeijer
,
G. Litjens
,
J. van der Laak
,
t. Consortium
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
B. Bejnordi
,
G. Zuidhof
,
M. Balkenhol
,
M. Hermsen
,
P. Bult
,
B. van Ginneken
,
N. Karssemeijer
,
G. Litjens
,
J. van der Laak
Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.
S. Steens
,
E. Bekers
,
W. Weijs
,
G. Litjens
,
A. Veltien
,
A. Maat
,
G. van den Broek
,
J. van der Laak
,
J. Futterer
,
C. van der Kaa
,
M. Merkx
,
R. Takes
Using deep learning to segment breast and fibroglandular tissue in MRI volumes
M. Dalmis
,
G. Litjens
,
K. Holland
,
A. Setio
,
R. Mann
,
N. Karssemeijer
,
A. Gubern-Mérida
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
,
T. Kooi
,
B. Ehteshami Bejnordi
,
A. Setio
,
F. Ciompi
,
M. Ghafoorian
,
J. van der Laak
,
B. van Ginneken
,
C. Sánchez
Large scale deep learning for computer aided detection of mammographic lesions
T. Kooi
,
G. Litjens
,
B. van Ginneken
,
A. Gubern-Mérida
,
C. Sánchez
,
R. Mann
,
A. den Heeten
,
N. Karssemeijer
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
M. Ghafoorian
,
N. Karssemeijer
,
T. Heskes
,
I. van Uden
,
C. Sánchez
,
G. Litjens
,
F. de Leeuw
,
B. van Ginneken
,
E. Marchiori
,
B. Platel
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