Geert Litjens
Geert Litjens
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Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
Wouter Bulten
,
Maschenka Balkenhol
,
Jean-Joël Awoumou Belinga
,
Américo Brilhante
,
Aslı Çakır
,
Lars Egevad
,
Martin Eklund
,
Xavier Farré
,
Katerina Geronatsiou
,
Vincent Molinié
,
Guilherme Pereira
,
Paromita Roy
,
Günter Saile
,
Paulo Salles
,
Ewout Schaafsma
,
Joëlle Tschui
,
Anne-Marie Vos
,
Brett Delahunt
,
Hemamali Samaratunga
,
David J. Grignon
,
Andrew J. Evans
,
Daniel M. Berney
,
Chin-Chen Pan
,
Glen Kristiansen
,
James G. Kench
,
Jon Oxley
,
Katia R. M. Leite
,
Jesse K. McKenney
,
Peter A. Humphrey
,
Samson W. Fine
,
Toyonori Tsuzuki
,
Murali Varma
,
Ming Zhou
,
Eva Comperat
,
David G. Bostwick
,
Kenneth A. Iczkowski
,
Cristina Magi-Galluzzi
,
John R. Srigley
,
Hiroyuki Takahashi
,
Theo van der Kwast
,
Hester van Boven
,
Robert Vink
,
Jeroen van der Laak
,
Christina Hulsbergen-van der Kaa
,
Geert Litjens
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
H. Pinckaers
,
B. van Ginneken
,
G. Litjens
The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma.
G. van Leenders
,
T. van der Kwast
,
D. Grignon
,
A. Evans
,
G. Kristiansen
,
C. Kweldam
,
G. Litjens
,
J. McKenney
,
J. Melamed
,
N. Mottet
,
G. Paner
,
H. Samaratunga
,
I. Schoots
,
J. Simko
,
T. Tsuzuki
,
M. Varma
,
A. Warren
,
T. Wheeler
,
S. Williamson
,
K. Iczkowski
,
I. Members
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma
Ż. Świderska-Chadaj
,
K. Hebeda
,
M. van den Brand
,
G. Litjens
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
W. Bulten
,
H. Pinckaers
,
H. van Boven
,
R. Vink
,
T. de Bel
,
B. van Ginneken
,
J. van der Laak
,
C. Hulsbergen - van de Kaa
,
G. Litjens
Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks
Oscar A. Debats
,
Geert J. S. Litjens
,
Henkjan J. Huisman
A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach.
M. Maas
,
G. Litjens
,
A. Wright
,
U. Attenberger
,
M. Haider
,
T. Helbich
,
B. Kiefer
,
K. Macura
,
D. Margolis
,
A. Padhani
,
K. Selnæs
,
G. Villeirs
,
J. Futterer
,
T. Scheenen
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
O. Geessink
,
A. Baidoshvili
,
J. Klaase
,
B. Ehteshami Bejnordi
,
G. Litjens
,
G. van Pelt
,
W. Mesker
,
I. Nagtegaal
,
F. Ciompi
,
J. van der Laak
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
W. Bulten
,
P. Bandi
,
J. Hoven
,
R. de Loo
,
J. Lotz
,
N. Weiss
,
J. der Laak
,
B. van Ginneken
,
C. de Kaa
,
G. Litjens
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
P. Bandi
,
M. Balkenhol
,
B. van Ginneken
,
J. van der Laak
,
G. Litjens
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