Wouter Bulten,
Kimmo Kartasalo,
Po-Hsuan Cameron Chen,
Peter Ström,
Hans Pinckaers,
Kunal Nagpal,
Yuannan Cai,
David F. Steiner,
Hester van Boven,
Robert Vink,
Christina Hulsbergen-van de Kaa,
Jeroen van der Laak,
Mahul B. Amin,
Andrew J. Evans,
Theodorus van der Kwast,
Robert Allan,
Peter A. Humphrey,
Henrik Grönberg,
Hemamali Samaratunga,
Brett Delahunt,
Toyonori Tsuzuki,
Tomi Häkkinen,
Lars Egevad,
Maggie Demkin,
Sohier Dane,
Fraser Tan,
Masi Valkonen,
Greg S. Corrado,
Lily Peng,
Craig H. Mermel,
Pekka Ruusuvuori,
Geert Litjens,
Martin Eklund,
Américo Brilhante,
Aslı Çakır,
Xavier Farré,
Katerina Geronatsiou,
Vincent Molinié,
Guilherme Pereira,
Paromita Roy,
Günter Saile,
Paulo G. O. Salles,
Ewout Schaafsma,
Joëlle Tschui,
Jorge Billoch-Lima,
Emíio M. Pereira,
Ming Zhou,
Shujun He,
Sejun Song,
Qing Sun,
Hiroshi Yoshihara,
Taiki Yamaguchi,
Kosaku Ono,
Tao Shen,
Jianyi Ji,
Arnaud Roussel,
Kairong Zhou,
Tianrui Chai,
Nina Weng,
Dmitry Grechka,
Maxim V. Shugaev,
Raphael Kiminya,
Vassili Kovalev,
Dmitry Voynov,
Valery Malyshev,
Elizabeth Lapo,
Manuel Campos,
Noriaki Ota,
Shinsuke Yamaoka,
Yusuke Fujimoto,
Kentaro Yoshioka,
Joni Juvonen,
Mikko Tukiainen,
Antti Karlsson,
Rui Guo,
Chia-Lun Hsieh,
Igor Zubarev,
Habib S. T. Bukhar,
Wenyuan Li,
Jiayun Li,
William Speier,
Corey Arnold,
Kyungdoc Kim,
Byeonguk Bae,
Yeong Won Kim,
Hong-Seok Lee,
Jeonghyuk Park,
the PANDA challenge consortium.
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge.
Nat Med,
2022.
Kimmo Kartasalo,
Wouter Bulten,
Brett Delahunt,
Po-Hsuan Cameron Chen,
Hans Pinckaers,
Henrik Olsson,
Xiaoyi Ji,
Nita Mulliqi,
Hemamali Samaratunga,
Toyonori Tsuzuki,
Johan Lindberg,
Mattias Rantalainen,
Carolina Wählby,
Geert Litjens,
Pekka Ruusuvuori,
Lars Egevad,
Martin Eklund.
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps..
Eur Urol Focus,
2021.
Michela Antonelli,
Annika Reinke,
Spyridon Bakas,
Keyvan Farahani,
Annette Kopp-Schneider,
Bennett A. Landman,
Geert Litjens,
Bjoern Menze,
Olaf Ronneberger,
Ronald M. Summers,
Bram van Ginneken,
Michel Bilello,
Patrick Bilic,
Patrick F. Christ,
Richard K. G. Do,
Marc J. Gollub,
Stephan H. Heckers,
William R. Jarnagin,
Maureen K. McHugo,
Sandy Napel,
Jennifer S. Goli Pernicka,
Kawal Rhode,
Catalina Tobon-Gomez,
Eugene Vorontsov,
Henkjan Huisman,
James A. Meakin,
Sebastien Ourselin,
Manuel Wiesenfarth,
Pablo Arbelaez,
Byeonguk Bae,
Sihong Chen,
Laura Daza,
Jianjiang Feng,
Baochun He,
Fabian Isensee,
Yuanfeng Ji,
Fucang Jia,
Namkug Kim,
Ildoo Kim,
Dorit Merhof,
Akshay Pai,
Beomhee Park,
Mathias Perslev,
Ramin Rezaiifar,
Oliver Rippel,
Ignacio Sarasua,
Wei Shen,
Jaemin Son,
Christian Wachinger,
Liansheng Wang,
Yan Wang,
Yingda Xia,
Daguang Xu,
Zhanwei Xu,
Yefeng Zheng,
Amber L. Simpson,
Lena Maier-Hein,
M. Jorge Cardoso.
The Medical Segmentation Decathlon.
arXiv:2106.05735,
2021.
M. Balkenhol,
F. Ciompi,
Ż. Świderska-Chadaj,
R. van de Loo,
M. Intezar,
I. Otte-Höller,
D. Geijs,
J. Lotz,
N. Weiss,
T. de Bel,
G. Litjens,
P. Bult,
J. van der Laak.
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics..
Breast,
2021.
Annika Reinke,
Matthias Eisenmann,
Minu D. Tizabi,
Carole H. Sudre,
Tim Rädsch,
Michela Antonelli,
Tal Arbel,
Spyridon Bakas,
M. Jorge Cardoso,
Veronika Cheplygina,
Keyvan Farahani,
Ben Glocker,
Doreen Heckmann-Nötzel,
Fabian Isensee,
Pierre Jannin,
Charles E. Kahn,
Jens Kleesiek,
Tahsin Kurc,
Michal Kozubek,
Bennett A. Landman,
Geert Litjens,
Klaus Maier-Hein,
Bjoern Menze,
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.
Common Limitations of Image Processing Metrics: A Picture Story.
arXiv:2104.05642,
2021.
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.
Common limitations of performance metrics in biomedical image analysis.
Medical Imaging with Deep Learning,
2021.
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.
The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma..
Am J Surg Pathol,
2020.
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.
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists.
Mod Pathol,
2020.
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.
Learning to detect lymphocytes in immunohistochemistry with deep learning.
Med Image Anal,
2019.
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.
A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach..
Invest Radiol,
2019.
W. Bulten,
P. Bandi,
J. Hoven,
R. de Loo,
J. Lotz,
N. Weiss,
J. der Laak,
B. van Ginneken,
C. de Kaa,
G. Litjens.
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.
Nat Sci Rep,
2019.
O. Geessink,
A. Baidoshvili,
J. Klaase,
B. Ehteshami Bejnordi,
G. Litjens,
G. van Pelt,
W. Mesker,
I. Nagtegaal,
F. Ciompi,
J. van der Laak.
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer.
Cell Oncol,
2019.
A. Simpson,
M. Antonelli,
S. Bakas,
M. Bilello,
K. Farahani,
B. van Ginneken,
A. Kopp-Schneider,
B. Landman,
G. Litjens,
B. Menze,
O. Ronneberger,
R. Summers,
P. Bilic,
P. Christ,
R. Do,
M. Gollub,
J. Golia-Pernicka,
S. Heckers,
W. Jarnagin,
M. McHugo,
S. Napel,
E. Vorontsov,
L. Maier-Hein,
M. Cardoso.
A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
arXiv:1902.09063,
2019.
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.
From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge.
IEEE Trans Med Imaging,
2018.
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.
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.
Gigascience,
2018.
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.
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks.
IEEE Trans Med Imaging,
2018.
Ż. Świderska-Chadaj,
H. Pinckaers,
M. van Rijthoven,
M. Balkenhol,
M. Melnikova,
O. Geessink,
Q. Manson,
G. Litjens,
J. van der Laak,
F. Ciompi.
Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images.
in: Medical Imaging with Deep Learning,
2018.
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.
Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR..
Int J Comput Assist Radiol Surg,
2017.
S. Laban,
G. Giebel,
N. Klümper,
A. Schŗ̈k,
J. Doescher,
G. Spagnoli,
J. Thierauf,
M. Theodoraki,
R. Remark,
S. Gnjatic,
R. Krupar,
A. Sikora,
G. Litjens,
N. Grabe,
G. Kristiansen,
F. Bootz,
P. Schuler,
C. Brunner,
J. Br"ëlmann,
T. Hoffmann,
S. Perner.
MAGE expression in head and neck squamous cell carcinoma primary tumors, lymph node metastases and respective recurrences: implications for immunotherapy.
Oncotarget,
2017.
M. Ghafoorian,
N. Karssemeijer,
T. Heskes,
I. van Uden,
C. Sánchez,
G. Litjens,
F. de Leeuw,
B. van Ginneken,
E. Marchiori,
B. Platel.
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
Nat Sci Rep,
2017.
A. Setio,
F. Ciompi,
G. Litjens,
P. Gerke,
C. Jacobs,
S. van Riel,
M. Wille,
M. Naqibullah,
C. Sánchez,
B. van Ginneken.
Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks.
IEEE Trans Med Imaging,
2016.
G. Litjens,
C. Sánchez,
N. Timofeeva,
M. Hermsen,
I. Nagtegaal,
I. Kovacs,
C. Hulsbergen - van de Kaa,
P. Bult,
B. van Ginneken,
J. van der Laak.
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis.
Nat Sci Rep,
2016.
G. Litjens,
R. Toth,
W. van de Ven,
C. Hoeks,
S. Kerkstra,
B. van Ginneken,
G. Vincent,
G. Guillard,
N. Birbeck,
J. Zhang,
R. Strand,
F. Malmberg,
Y. Ou,
C. Davatzikos,
M. Kirschner,
F. Jung,
J. Yuan,
W. Qiu,
Q. Gao,
P. Edwards,
B. Maan,
F. van der Heijden,
S. Ghose,
J. Mitra,
J. Dowling,
D. Barratt,
H. Huisman,
A. Madabhushi.
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.
Med Image Anal,
2014.
G. Litjens,
R. Elliott,
N. Shih,
M. Feldman,
J. Barentsz,
C. Hulsbergen - van de Kaa,
I. Kovacs,
H. Huisman,
A. Madabhushi.
Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI.
in: Medical Imaging, volume 9035 of the Proceedings of the SPIE,
2014.
M. Maas,
M. Koopman,
G. Litjens,
A. Wright,
K. Selnas,
I. Gribbestad,
M. Haider,
K. Macura,
D. Margolis,
B. Kiefer,
J. Futterer,
T. Scheenen.
Prostate Cancer localization with a Multiparametric MR Approach (PCaMAP): initial results of a multi-center study.
ISMRM,
2013.