Oscar Geessink - Google Scholar

Cited by

	All	Since 2015
Citations	933	931
h-index	6	6
i10-index	4	4

460

230

115

345

201720182019202012 157 453 292

Co-authors

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 BalkenholRadboudumcVerified 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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	739	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	72	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	48	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	46	2018
Camelyon17: Grand challenge on cancer metastasis detection and classification in lymph nodes O Geessink, P Bándi, G Litjens, J van der Laak	8	2017
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	7	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	6	2019
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	2	2015

The system can't perform the operation now. Try again later.

Articles 1–9

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors