Geert Litjens
Geert Litjens
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Automatic
2
Automated robust registration of grossly misregistered whole-slide images with varying stains
G. Litjens
,
K. Safferling
,
N. Grabe
A multi-scale superpixel classification approach for region of interest detection in whole slide histopathology images
B. Bejnordi
,
G. Litjens
,
M. Hermsen
,
N. Karssemeijer
,
J. van der Laak
Automated detection of prostate cancer in digitized whole-slide images of H&E-stained biopsy specimens
G. Litjens
,
B. Bejnordi
,
N. Timofeeva
,
G. Swadi
,
I. Kovacs
,
C. Hulsbergen - van de Kaa
,
J. van der Laak
Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation
G. Litjens
,
H. Huisman
,
R. Elliott
,
N. Shih
,
M. Feldman
,
J. Futterer
,
J. Bomers
,
A. Madabhushi
Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI
G. Litjens
,
R. Elliott
,
N. Shih
,
M. Feldman
,
J. Barentsz
,
C. Hulsbergen - van de Kaa
,
I. Kovacs
,
H. Huisman
,
A. Madabhushi
Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach
G. Litjens
,
J. Barentsz
,
N. Karssemeijer
,
H. Huisman
A multi-atlas approach for prostate segmentation in MRI
G. Litjens
,
N. Karssemeijer
,
H. Huisman
A pattern recognition approach to zonal segmentation of the prostate on MRI
G. Litjens
,
O. Debats
,
W. van de Ven
,
N. Karssemeijer
,
H. Huisman
Automatic Computer Aided Detection of Abnormalities in Multi-Parametric Prostate MRI
G. Litjens
,
P. Vos
,
J. Barentsz
,
N. Karssemeijer
,
H. Huisman
Required accuracy of MR-US registration for prostate biopsies
W. van de Ven
,
G. Litjens
,
J. Barentsz
,
T. Hambrock
,
H. Huisman
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