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ResearcherID: A-2319-2016

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Works (50 of 117)

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Metrics reloaded: recommendations for image analysis validation

Nature Methods
2024 | Journal article
DOI: 10.1038/S41592-023-02151-Z
WOSUID: WOS:001161142200002
Contributors: Maier-Hein, Lena; Reinke, Annika; Godau, Patrick; Tizabi, Minu D.; Buettner, Florian; Christodoulou, Evangelia; Glocker, Ben; Isensee, Fabian; Kleesiek, Jens; Kozubek, Michal et al.
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A Decade of GigaScience: The Challenges of Gigapixel Pathology Images Comment

GigaScience
2022 | Journal article
DOI: 10.1093/GIGASCIENCE/GIAC056
WOSUID: WOS:000846739000070
Contributors: Litjens, Geert; Ciompi, Francesco; van der Laak, Jeroen
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Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Nature Medicine
2022 | Journal article
DOI: 10.1038/S41591-021-01620-2
WOSUID: WOS:000742323900003
Contributors: Bulten, Wouter; Kartasalo, Kimmo; Chen, Po-Hsuan Cameron; Strom, Peter; Pinckaers, Hans; Nagpal, Kunal; Cai, Yuannan; Steiner, David F.; van Boven, Hester; Vink, Robert et al.
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Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

npj Breast Cancer
2022 | Journal article
DOI: 10.1038/S41523-021-00378-7
WOSUID: WOS:000744510800001
Contributors: de Bel, Thomas; Litjens, Geert; Ogony, Joshua; Stallings-Mann, Melody; Carter, Jodi M.; Hilton, Tracy; Radisky, Derek C.; Vierkant, Robert A.; Broderick, Brendan; Hoskin, Tanya L. et al.
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Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas

Proceedings of SPIE - The International Society for Optical Engineering
2022 | Conference paper
DOI: 10.1117/12.2611542
WOSUID: WOS:000838055900042
Contributors: Vendittelli, P.; Smeets, E. M. M.; Litjens, G. J. S.
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Crowdsourcing of artificial intelligence algorithms for diagnosis and Gleason grading of prostate cancer in biopsies

European Urology
2022 | Journal article
WOSUID: WOS:000812320401010
Contributors: Kartasalo, K.; Bulten, W.; Chen, P-H. C.; Strom, P.; Pinckaers, H.; Nagpal, K.; Ruusuvuori, P.; Litjens, G.; Eklund, M.
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Dataset of prostate MRI annotated for anatomical zones and cancer

Data in Brief
2022 | Journal article
DOI: 10.1016/J.DIB.2022.108739
WOSUID: WOS:000889935000023
Contributors: Adams, Lisa C.; Makowski, Marcus R.; Engel, Guenther; Rattunde, Maximilian; Busch, Felix; Asbach, Patrick; Niehues, Stefan M.; Vinayahalingam, Shankeeth; van Ginneken, Bram; Litjens, Geert et al.
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Generalisation of deep learning for breast cancer metastasis detection

Virchows Archiv
2022 | Journal article
WOSUID: WOS:000842770700249
Contributors: Jarkman, S.; Karlberg, M.; Poceviciute, M.; Boden, A.; Bandi, P.; Litjens, G.; Lundstrom, C.; Treanor, D.; van der Laak, J.
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Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 | Journal article
DOI: 10.1109/TPAMI.2020.3019563
WOSUID: WOS:000752018000036
Contributors: Pinckaers, Hans; van Ginneken, Bram; Litjens, Geert
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The Medical Segmentation Decathlon

Nature Communications
2022 | Journal article
DOI: 10.1038/S41467-022-30695-9
WOSUID: WOS:000826101400020
Contributors: Antonelli, Michela; Reinke, Annika; Bakas, Spyridon; Farahani, Keyvan; Kopp-Schneider, Annette; Landman, Bennett A.; Litjens, Geert; Menze, Bjoern; Ronneberger, Olaf; Summers, Ronald M. et al.
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Using deep learning for quantification of cellularity and cell lineages in bone marrow biopsies and comparison to normal age-related variation

Pathology
2022 | Journal article
DOI: 10.1016/J.PATHOL.2021.07.011
WOSUID: WOS:000840268900010
Contributors: van Eekelen, Leander; Pinckaers, Hans; van den Brand, Michiel; Hebeda, Konnie M.; Litjens, Geert
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Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection

Cancers
2022-11 | Journal article | Author
DOI: 10.3390/cancers14215424
Contributors: Sofia Jarkman; Micael Karlberg; Milda Pocevičiūtė; Anna Bodén; Péter Bándi; Geert Litjens; Claes Lundström; Darren Treanor; Jeroen van der Laak
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Multidisciplinary Digital Publishing Institute

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

Modern Pathology
2021 | Journal article
DOI: 10.1038/S41379-020-0640-Y
WOSUID: WOS:000556178900003
Contributors: Bulten, Wouter; Balkenhol, Maschenka; Belinga, Jean-Joel Awoumou; Brilhante, Americo; Cakir, Asli; Egevad, Lars; Eklund, Martin; Farre, Xavier; Geronatsiou, Katerina; Molinie, Vincent et al.
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Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps

European Urology Focus
2021 | Journal article
DOI: 10.1016/J.EUF.2021.07.002
WOSUID: WOS:000691817700007
Contributors: Kartasalo, Kimmo; Bulten, Wouter; Delahunt, Brett; Chen, Po-Hsuan Cameron; Pinckaers, Hans; Olsson, Henrik; Ji, Xiaoyi; Mulliqi, Nita; Samaratunga, Hemamali; Tsuzuki, Toyonori et al.
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Artificial intelligence to detect<i>MYC</i>translocation in slides of diffuse large B-cell lymphoma

Virchows Archiv
2021 | Journal article
DOI: 10.1007/S00428-020-02931-4
WOSUID: WOS:000572895600001
Contributors: Swiderska-Chadaj, Zaneta; Hebeda, Konnie M.; van den Brand, Michiel; Litjens, Geert
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Deep learning in histopathology: the path to the clinic

Nature Medicine
2021 | Journal article
DOI: 10.1038/S41591-021-01343-4
WOSUID: WOS:000650698900017
Contributors: van der Laak, Jeroen; Litjens, Geert; Ciompi, Francesco
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Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images-The ACDC@LungHP Challenge 2019

IEEE Journal of Biomedical and Health Informatics
2021 | Journal article
DOI: 10.1109/JBHI.2020.3039741
WOSUID: WOS:000616310200013
Contributors: Li, Zhang; Zhang, Jiehua; Tan, Tao; Teng, Xichao; Sun, Xiaoliang; Zhao, Hong; Liu, Lihong; Xiao, Yang; Lee, Byungjae; Li, Yilong et al.
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Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels

IEEE Transactions on Medical Imaging
2021 | Journal article
DOI: 10.1109/TMI.2021.3066295
WOSUID: WOS:000668842500007
Contributors: Pinckaers, Hans; Bulten, Wouter; van der Laak, Jeroen; Litjens, Geert
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End-to-end classification on basal-cell carcinoma histopathology whole-slides images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2021 | Conference paper
DOI: 10.1117/12.2581042
WOSUID: WOS:000671008800004
Contributors: Geijs, D. J.; Pinckaers, H.; Amir, A. L.; Litjens, G. J. S.
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Mini Review: The Last Mile-Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology

Toxicologic Pathology
2021 | Journal article
DOI: 10.1177/0192623321990375
WOSUID: WOS:000636524200001
Contributors: Turner, Oliver C.; Knight, Brian; Zuraw, Aleksandra; Litjens, Geert; Rudmann, Daniel G.
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Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2021 | Conference paper
DOI: 10.1117/12.2549654
WOSUID: WOS:000672555600009
Contributors: van Eekelen, Leander; Pinckaers, Hans; Hebeda, Konnie M.; Litjens, Geert
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Neural Image Compression for Gigapixel Histopathology Image Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
2021 | Journal article
DOI: 10.1109/TPAMI.2019.2936841
WOSUID: WOS:000607383300012
Contributors: Tellez, David; Litjens, Geert; van der Laak, Jeroen; Ciompi, Francesco
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Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics

The Breast
2021 | Journal article
DOI: 10.1016/J.BREAST.2021.02.007
WOSUID: WOS:000632058800011
Contributors: Balkenhol, Maschenka C. A.; Ciompi, Francesco; Swiderska-Chadaj, Zaneta; van de Loo, Rob; Intezar, Milad; Otte-Holler, Irene; Geijs, Daan; Lotz, Johannes; Weiss, Nick; de Bel, Thomas et al.
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Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2021 | Conference paper
DOI: 10.1117/12.2549650
WOSUID: WOS:000672555600029
Contributors: Swiderska-Chadaj, Zaneta; Hebeda, Konnie; van den Brand, Michiel; Litjens, Geert
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Residual cyclegan for robust domain transformation of histopathological tissue slides

Medical Image Analysis
2021 | Journal article
DOI: 10.1016/J.MEDIA.2021.102004
WOSUID: WOS:000639337100007
Contributors: de Bel, Thomas; Bokhorst, John-Melle; van der Laak, Jeroen; Litjens, Geert
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The Medical Segmentation Decathlon

ArXiv
2021 | Journal article
WOSUID: PPRN:19821897
Contributors: Antonelli, Michela; Reinke, Annika; Bakas, Spyridon; Farahani, Keyvan; Kopp-Schneider, Annette; Landman, Bennett. A; Litjens, Geert; Menze, Bjoern; Ronneberger, Olaf; Summers, Ronald. M et al.
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

The Lancet Oncology
2020 | Journal article
DOI: 10.1016/S1470-2045(19)30739-9
WOSUID: WOS:000510481800032
Contributors: Bulten, Wouter; Pinckaers, Hans; van Boven, Hester; Vink, Robert; de Bel, Thomas; van Ginneken, Bram; van der Laak, Jeroen; Hulsbergen-van de Kaa, Christina; Litjens, Geert
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Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019

ArXiv
2020 | Journal article
WOSUID: PPRN:50746412
Contributors: Li, Zhang; Zhang, Jiehua; Tan, Tao; Teng, Xichao; Sun, Xiaoliang; Li, Yang; Liu, Lihong; Xiao, Yang; Lee, Byungjae; Li, Yilong et al.
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Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels

ArXiv
2020 | Journal article
WOSUID: PPRN:22538625
Contributors: Pinckaers, Hans; Bulten, Wouter; van der Laak, Jeroen; Litjens, Geert
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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

Scientific Reports
2020 | Journal article
DOI: 10.1038/S41598-020-71420-0
WOSUID: WOS:000571224500007
Contributors: Swiderska-Chadaj, Zaneta; de Bel, Thomas; Blanchet, Lionel; Baidoshvili, Alexi; Vossen, Dirk; van der Laak, Jeroen; Litjens, Geert
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Neural Image Compression for Gigapixel Histopathology Image Analysis

ArXiv
2020 | Journal article
WOSUID: PPRN:14897356
Contributors: Tellez, David; Litjens, Geert; van der Laak, Jeroen; Ciompi, Francesco
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Optimised tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics

Virchows Archiv
2020 | Journal article
WOSUID: WOS:000787261900130
Contributors: Balkenhol, M.; Ciompi, F.; Swiderska-Chadaj, Z.; van de Loo, R.; Intezar, M.; Otte-Holler, I.; Geijs, D.; Lotz, J.; Weiss, N.; de Bel, T. et al.
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Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

ArXiv
2020 | Journal article
WOSUID: PPRN:19349567
Contributors: Tellez, David; Litjens, Geert; Bandi, Peter; Bulten, Wouter; Bokhorst, John-Melle; Ciompi, Francesco; van der Laak, Jeroen
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The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma

American Journal of Surgical Pathology
2020 | Journal article
DOI: 10.1097/PAS.0000000000001497
WOSUID: WOS:000561789900001
Contributors: van Leenders, Geert J. L. H.; van der Kwast, Theodorus H.; Grignon, David J.; Evans, Andrew J.; Kristiansen, Glen; Kweldam, Charlotte F.; Litjens, Geert; McKenney, Jesse K.; Melamed, Jonathan; Mottet, Nicholas et al.
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A large annotated medical image dataset for the development and evaluation of segmentation algorithms

ArXiv
2019 | Journal article
WOSUID: PPRN:21299791
Contributors: L. Simpson, Amber; Antonelli, Michela; Bakas, Spyridon; Bilello, Michel; Farahani, Keyvan; van Ginneken, Bram; Kopp-Schneider, Annette; A. Landman, Bennett; Litjens, Geert; Menze, Bjoern et al.
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A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach

Investigative Radiology
2019 | Journal article
DOI: 10.1097/RLI.0000000000000558
WOSUID: WOS:000471942500007
Contributors: Maas, Marnix C.; Litjens, Geert J. S.; Wright, Alan J.; Attenberger, Ulrike I.; Haider, Masoom A.; Helbich, Thomas H.; Kiefer, Berthold; Macura, Katarzyna J.; Margolis, Daniel J. A.; Padhani, Anwar R. et al.
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Automated Gleason Grading of Prostate Biopsies using Deep Learning

ArXiv
2019 | Journal article
WOSUID: PPRN:15539897
Contributors: Bulten, Wouter; Pinckaers, Hans; van Boven, Hester; Vink, Robert; de Bel, Thomas; van Ginneken, Bram; van der Laak, Jeroen; Hulsbergen-van de Kaa, Christina; Litjens, Geert
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Automated Gleason Grading of Prostate Biopsies Using Deep Learning

Modern Pathology
2019 | Journal article
WOSUID: WOS:000478915501237
Contributors: Bulten, Wouter; Pinckaers, Hans; Hulsbergen-van de Kaa, Christina; Litjens, Geert
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Automated Gleason Grading of Prostate Biopsies Using Deep Learning

Laboratory Investigation
2019 | Journal article
WOSUID: WOS:000478081102475
Contributors: Bulten, Wouter; Pinckaers, Hans; Hulsbergen-van de Kaa, Christina; Litjens, Geert
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Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer

Cellular Oncology
2019 | Journal article
DOI: 10.1007/S13402-019-00429-Z
WOSUID: WOS:000469354700007
Contributors: Geessink, Oscar G. F.; Baidoshvili, Alexi; Klaase, Joost M.; Bejnordi, Babak Ehteshami; Litjens, Geert J. S.; van Pelt, Gabi W.; Mesker, Wilma E.; Nagtegaal, Iris D.; Ciompi, Francesco; van der Laak, Jeroen A. W. M.
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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

ArXiv
2019 | Journal article
WOSUID: PPRN:50081208
Contributors: Bulten, Wouter; Bándi, Péter; Hoven, Jeffrey; Loo, Rob van de; Lotz, Johannes; Weiss, Nick; Laak, Jeroen van der; Ginneken, Bram van; Kaa, Christina Hulsbergen-van de; Litjens, Geert
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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Scientific Reports
2019 | Journal article
DOI: 10.1038/s41598-018-37257-4
WOSUID:

WOS:000456955500044
Contributors: Bulten, Wouter; Bandi, Peter; Hoven, Jeffrey; van de Loo, Rob; Lotz, Johannes; Weiss, Nick; van der Laak, Jeroen; van Ginneken, Bram; Hulsbergen-van de Kaa, Christina; Litjens, Geert
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From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Ieee Transactions on Medical Imaging
2019 | Journal article
DOI: 10.1109/TMI.2018.2867350
WOSUID:

WOS:000457604700021
Contributors: Bandi, Peter; Geessink, Oscar; Manson, Quirine; van Dijk, Marcory; Balkenhol, Maschenka; Hermsen, Meyke; Bejnordi, Babak Ehteshami; Lee, Byungjae; Paeng, Kyunghyun; Zhong, Aoxiao et al.
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High resolution whole prostate biopsy classification using streaming stochastic gradient descent

MEDICAL IMAGING 2019: DIGITAL PATHOLOGY
2019 | Conference paper
DOI: 10.1117/12.2512817
WOSUID: WOS:000483961700007
Contributors: Pinckaers, Hans; Bulten, Wouter; Litjens, Geert
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Learning to detect lymphocytes in immunohistochemistry with deep learning

Medical Image Analysis
2019 | Journal article
DOI: 10.1016/J.MEDIA.2019.101547
WOSUID: WOS:000496605700011
Contributors: Swiderska-Chadaj, Zaneta; Pinckaers, Hans; van Rijthoven, Mart; Balkenhol, Maschenka; Melnikova, Margarita; Geessink, Oscar; Manson, Quirine; Sherman, Mark; Polonia, Antonio; Parry, Jeremy et al.
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Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks

PeerJ
2019 | Journal article
DOI: 10.7717/PEERJ.8052
WOSUID: WOS:000498838200003
Contributors: Debats, Oscar A.; Litjens, Geert J. S.; Huisman, Henkjan J.
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Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands

ArXiv
2019 | Journal article
WOSUID: PPRN:22565081
Contributors: Pinckaers, Hans; Litjens, Geert
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No pixel-level annotations needed

Nature Biomedical Engineering
2019 | Journal article
DOI: 10.1038/S41551-019-0472-6
WOSUID: WOS:000496491200007
Contributors: van der Laak, Jeroen; Ciompi, Francesco; Litjens, Geert
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Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

Medical Image Analysis
2019 | Journal article
DOI: 10.1016/J.MEDIA.2019.101544
WOSUID: WOS:000496605700012
Contributors: Tellez, David; Litjens, Geert; Bandi, Peter; Bulten, Wouter; Bokhorst, John-Melle; Ciompi, Francesco; van der Laak, Jeroen
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Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

PeerJ
2019 | Journal article
DOI: 10.7717/PEERJ.8242
WOSUID: WOS:000503384100008
Contributors: Bandi, Peter; Balkenhol, Maschenka; van Ginneken, Bram; van der Laak, Jeroen; Litjens, Geert
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