Oscar Geessink

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	All	Since 2016
Citations	1301	1296
h-index	7	7
i10-index	7	7

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2017201820192020202114 159 456 637 8

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Jeroen van der LaakRadboud University Medical CenterVerified email at radboudumc.nl
Geert LitjensRadboud University Medical CenterVerified email at radboudumc.nl
Francesco CiompiRadboud University Medical Center, NijmegenVerified email at radboudumc.nl
Babak Ehteshami BejnordiResearch Scientist, Qualcomm AI Research, Qualcomm Technologies, Inc., NetherlandsVerified email at qti.qualcomm.com
Maschenka Balkenhol MD, PhDPathology Resident & Researcher, Computational Pathology, RadboudumcVerified email at radboudumc.nl
Iris NagtegaalVerified email at radboudumc.nl
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityVerified email at radboudumc.nl
N. StathonikosUMC UtrechtVerified email at umcutrecht.nl
Zaneta Swiderska-ChadajWarsaw University of TechnologyVerified email at ee.pw.edu.pl
Hans PinckaersPhD candidate, Radboud University Medical Center, Computational Pathology GroupVerified email at radboudumc.nl
Cornelis H. SlumpProfessor Medical Imaging, University of TwenteVerified email at utwente.nl
Ferdinand van der Heijdenassociate professor - University of TwenteVerified email at utwente.nl
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenVerified email at radboudumc.nl
Mitko VetaAssistant Professor, Eindhoven University of TechnologyVerified email at tue.nl
Andrew H. BeckCo-Founder and CEO at PathAIVerified email at PathAI.com
David TellezPhD student, Department of Pathology, RadboudumcVerified email at radboudumc.nl

Oscar Geessink

PhD candidate, Dept. of Pathology, Radboud University Medical Center

Verified email at radboudumc.nl - Homepage

Computational Pathology


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Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017	1009	2017
The importance of stain normalization in colorectal tissue classification with convolutional networks F Ciompi, O Geessink, BE Bejnordi, GS De Souza, A Baidoshvili, G Litjens, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017	92	2017
From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ... IEEE transactions on medical imaging 38 (2), 550-560, 2018	82	2018
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset G Litjens, P Bandi, B Ehteshami Bejnordi, O Geessink, M Balkenhol, ... GigaScience 7 (6), giy065, 2018	66	2018
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer OGF Geessink, A Baidoshvili, JM Klaase, BE Bejnordi, GJS Litjens, ... Cellular Oncology 42 (3), 331-341, 2019	18	2019
Learning to detect lymphocytes in immunohistochemistry with deep learning Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ... Medical image analysis 58, 101547, 2019	15	2019
Camelyon17: Grand challenge on cancer metastasis detection and classification in lymph nodes O Geessink, P Bándi, G Litjens, J van der Laak	10	2017
Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...	5	2018
Toward automatic segmentation and quantification of tumor and stroma in whole-slide images of H and E stained rectal carcinomas OGF Geessink, A Baidoshvili, G Freling, JM Klaase, CH Slump, ... Medical Imaging 2015: Digital Pathology 9420, 94200F, 2015	4	2015

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