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ArticlesPeer ReviewedFull Text
Deep learning in histopathology: the path to the clinic
Author / Creator:van der Laak, Jeroen ; Litjens, Geert ; Ciompi, Francesco
Publisher:New York: Nature Publishing Group US
Journal title:Nature medicine, 2021-05, Vol.27 (5), p.775-784
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
Author / Creator:Bulten, Wouter, MSc ; Pinckaers, Hans, MD ; van Boven, Hester, MD ; Vink, Robert, MD ; de Bel, Thomas, MSc ; van Ginneken, Bram, Prof ; van der Laak, Jeroen, PhD ; Hulsbergen-van de Kaa, Christina, PhD ; Litjens, Geert, PhD
Publisher:England: Elsevier Ltd
Journal title:The lancet oncology, 2020-02, Vol.21 (2), p.233-241
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ArticlesPeer ReviewedFull Text
The Medical Segmentation Decathlon
Author / Creator:Antonelli, Michela ; Reinke, Annika ; Bakas, Spyridon ; Farahani, Keyvan ; Kopp-Schneider, Annette ; Landman, Bennett A. ; Litjens, Geert ; Menze, Bjoern ; Ronneberger, Olaf ; Summers, Ronald M. ; van Ginneken, Bram ; Bilello, Michel ; Bilic, Patrick ; Christ, Patrick F. ; Do, Richard K. G. ; Gollub, Marc J. ; Heckers, Stephan H. ; Huisman, Henkjan ; Jarnagin, William R. ; McHugo, Maureen K. ; Napel, Sandy ; Pernicka, Jennifer S. Golia ; Rhode, Kawal ; Tobon-Gomez, Catalina ; Vorontsov, Eugene ; Meakin, James A. ; Ourselin, Sebastien ; Wiesenfarth, Manuel ; Arbeláez, Pablo ; Bae, Byeonguk ; Chen, Sihong ; Daza, Laura ; Feng, Jianjiang ; He, Baochun ; Isensee, Fabian ; Ji, Yuanfeng ; Jia, Fucang ; Kim, Ildoo ; Maier-Hein, Klaus ; Merhof, Dorit ; Pai, Akshay ; Park, Beomhee ; Perslev, Mathias ; Rezaiifar, Ramin ; Rippel, Oliver ; Sarasua, Ignacio ; Shen, Wei ; Son, Jaemin ; Wachinger, Christian ; Wang, Liansheng ; Wang, Yan ; Xia, Yingda ; Xu, Daguang ; Xu, Zhanwei ; Zheng, Yefeng ; Simpson, Amber L. ; Maier-Hein, Lena ; Cardoso, M. Jorge
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2022-07, Vol.13 (1), p.4128-13, Article 4128
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ArticlesPeer ReviewedFull Text
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Author / Creator:Litjens, Geert ; Sánchez, Clara I. ; Timofeeva, Nadya ; Hermsen, Meyke ; Nagtegaal, Iris ; Kovacs, Iringo ; Hulsbergen - van de Kaa, Christina ; Bult, Peter ; van Ginneken, Bram ; van der Laak, Jeroen
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2016-05, Vol.6 (1), p.26286-26286, Article 26286
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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
Author / Creator:Swiderska-Chadaj, Zaneta ; de Bel, Thomas ; Blanchet, Lionel ; Baidoshvili, Alexi ; Vossen, Dirk ; van der Laak, Jeroen ; Litjens, Geert
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2020-09, Vol.10 (1), p.14398, Article 14398
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ArticlesPeer ReviewedFull Text
Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks
Author / Creator:Debats, Oscar A ; Litjens, Geert J S ; Huisman, Henkjan J
Publisher:United States: PeerJ. Ltd
Journal title:PeerJ (San Francisco, CA), 2019-11, Vol.7, p.e8052-e8052, Article e8052
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ArticlesPeer ReviewedFull Text
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Author / Creator:Bulten, Wouter ; Kartasalo, Kimmo ; Chen, Po-Hsuan Cameron ; Ström, Peter ; Pinckaers, Hans ; Nagpal, Kunal ; Cai, Yuannan ; Steiner, David F. ; van Boven, Hester ; Vink, Robert ; Hulsbergen-van de Kaa, Christina ; van der Laak, Jeroen ; Amin, Mahul B. ; Evans, Andrew J. ; van der Kwast, Theodorus ; Allan, Robert ; Humphrey, Peter A. ; Grönberg, Henrik ; Samaratunga, Hemamali ; Delahunt, Brett ; Tsuzuki, Toyonori ; Häkkinen, Tomi ; Egevad, Lars ; Demkin, Maggie ; Dane, Sohier ; Tan, Fraser ; Valkonen, Masi ; Corrado, Greg S. ; Peng, Lily ; Mermel, Craig H. ; Ruusuvuori, Pekka ; Litjens, Geert ; Eklund, Martin
Publisher:New York: Nature Publishing Group US
Journal title:Nature medicine, 2022-01, Vol.28 (1), p.154-163
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ArticlesPeer ReviewedFull Text
Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI
Author / Creator:Litjens, Geert J. S. ; Barentsz, Jelle O. ; Karssemeijer, Nico ; Huisman, Henkjan J.
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2015-11, Vol.25 (11), p.3187-3199
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ArticlesPeer ReviewedFull Text
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Author / Creator:Ghafoorian, Mohsen ; Karssemeijer, Nico ; Heskes, Tom ; van Uden, Inge W. M. ; Sanchez, Clara I. ; Litjens, Geert ; de Leeuw, Frank-Erik ; van Ginneken, Bram ; Marchiori, Elena ; Platel, Bram
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2017-07, Vol.7 (1), p.5110-12, Article 5110
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ArticlesPeer ReviewedFull Text
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
Author / Creator:Bulten, Wouter ; Bándi, Péter ; Hoven, Jeffrey ; Loo, Rob van de ; Lotz, Johannes ; Weiss, Nick ; Laak, Jeroen van der ; Ginneken, Bram van ; Hulsbergen-van de Kaa, Christina ; Litjens, Geert
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2019-01, Vol.9 (1), p.864-864, Article 864
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ArticlesPeer ReviewedFull Text
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Author / Creator:Bulten, Wouter ; Balkenhol, Maschenka ; Belinga, Jean-Joël Awoumou ; Brilhante, Américo ; Çakır, Aslı ; Egevad, Lars ; Eklund, Martin ; Farré, Xavier ; Geronatsiou, Katerina ; Molinié, Vincent ; Pereira, Guilherme ; Roy, Paromita ; Saile, Günter ; Salles, Paulo ; Schaafsma, Ewout ; Tschui, Joëlle ; Vos, Anne-Marie ; ISUP Pathology Imagebase Expert Panel ; van Boven, Hester ; Vink, Robert ; van der Laak, Jeroen ; Hulsbergen-van der Kaa, Christina ; Litjens, Geert ; Delahunt, Brett ; Samaratunga, Hemamali ; Grignon, David J. ; Evans, Andrew J. ; M.Berney, Daniel ; Pan, Chin-Chen ; Kristiansen, Glen ; Kench, James G. ; Oxley, Jon ; Leite, Katia R.M. ; McKenney, Jesse K. ; Humphrey, Peter A. ; Fine, Samson W. ; Tsuzuki, Toyonori ; Varma, Murali ; Zhou, Ming ; Comperat, Eva ; Bostwick, David G. ; Iczkowski, Kenneth A. ; Magi-Galluzzi, Cristina ; Srigley, John R. ; Takahashi, Hiroyuki ; van der Kwast, Theo
Publisher:New York: Elsevier Inc
Journal title:Modern pathology, 2021-03, Vol.34 (3), p.660-671
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ArticlesPeer ReviewedFull Text
Full resolution reconstruction of whole-mount sections from digitized individual tissue fragments
Author / Creator:Schouten, Daan ; van der Laak, Jeroen ; van Ginneken, Bram ; Litjens, Geert
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2024-01, Vol.14 (1), p.1497-1497, Article 1497
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ArticlesPeer ReviewedFull Text
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma
Author / Creator:Swiderska-Chadaj, Zaneta ; Hebeda, Konnie M. ; van den Brand, Michiel ; Litjens, Geert
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Virchows Archiv : an international journal of pathology, 2021-09, Vol.479 (3), p.617-621
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ArticlesPeer ReviewedFull Text
Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer
Author / Creator:Vendittelli, Pierpaolo ; Bokhorst, John-Melle ; Smeets, Esther M M ; Kryklyva, Valentyna ; Brosens, Lodewijk A A ; Verbeke, Caroline ; Litjens, Geert
Publisher:United States: Public Library of Science
Journal title:PloS one, 2024-05, Vol.19 (5), p.e0301969-e0301969
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ArticlesPeer ReviewedFull Text
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
Author / Creator:Bándi, Péter ; Balkenhol, Maschenka ; van Ginneken, Bram ; van der Laak, Jeroen ; Litjens, Geert
Publisher:United States: PeerJ. Ltd
Journal title:PeerJ (San Francisco, CA), 2019-12, Vol.7, p.e8242-e8242, Article e8242
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ArticlesPeer ReviewedFull Text
Three-dimensional identification of microvascular pathology and neurovascular inflammation in severe white matter hyperintensity: a case report
Author / Creator:Solé-Guardia, Gemma ; Luijten, Matthijs ; Geenen, Bram ; Claassen, Jurgen A. H. R. ; Litjens, Geert ; de Leeuw, Frank-Erik ; Wiesmann, Maximilian ; Kiliaan, Amanda J.
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2024-02, Vol.14 (1), p.5004-5004, Article 5004
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No pixel-level annotations needed
Author / Creator:van der Laak, Jeroen ; Ciompi, Francesco ; Litjens, Geert
Publisher:London: Nature Publishing Group UK
Journal title:Nature biomedical engineering, 2019-11, Vol.3 (11), p.855-856
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ArticlesPeer ReviewedFull Text
Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol
Author / Creator:Debats, Oscar A ; Fortuin, Ansje S ; Meijer, Hanneke J M ; Hambrock, Thomas ; Litjens, Geert J S ; Barentsz, Jelle O ; Huisman, Henkjan J
Publisher:United States: PeerJ. Ltd
Journal title:PeerJ (San Francisco, CA), 2016-10, Vol.4, p.e2471-e2471, Article e2471
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ArticlesPeer ReviewedFull Text
Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks
Author / Creator:Aprupe, Lilija ; Litjens, Geert ; Brinker, Titus J ; van der Laak, Jeroen ; Grabe, Niels
Publisher:United States: PeerJ. Ltd
Journal title:PeerJ (San Francisco, CA), 2019-04, Vol.7, p.e6335-e6335, Article e6335
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ArticlesPeer ReviewedFull Text
Predicting biochemical recurrence of prostate cancer with artificial intelligence
Author / Creator:Pinckaers, Hans ; van Ipenburg, Jolique ; Melamed, Jonathan ; De Marzo, Angelo ; Platz, Elizabeth A. ; van Ginneken, Bram ; van der Laak, Jeroen ; Litjens, Geert
Publisher:London: Nature Publishing Group UK
Journal title:Communications medicine, 2022-06, Vol.2 (1), p.64-9, Article 64
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Deep learning in histopathology: the path to the clinic

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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

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The Medical Segmentation Decathlon

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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

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Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks

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Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

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Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI

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Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

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Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

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Full resolution reconstruction of whole-mount sections from digitized individual tissue fragments

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Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma

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Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer

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Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

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Three-dimensional identification of microvascular pathology and neurovascular inflammation in severe white matter hyperintensity: a case report

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No pixel-level annotations needed

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Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol

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Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks

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Predicting biochemical recurrence of prostate cancer with artificial intelligence

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