Geert Litjens

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Jeroen van der LaakRadboud University Medical CenterVerified email at radboudumc.nl
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityVerified 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
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenVerified email at radboudumc.nl
Henkjan HuismanProfessor Medical Imaging AI, Radboud University Medical Centre Nijmegen and NTNU NorwayVerified email at radboudumc.nl
Clara I. SánchezFull Professor, Informatics Institute, University of AmsterdamVerified email at uva.nl
Maschenka Balkenhol MD, PhDPathology Resident & Researcher, Computational Pathology, RadboudumcVerified email at radboudumc.nl
Wouter BultenChief innovation officer @ AiosynVerified email at radboudumc.nl
Hans PinckaersPhD candidate, Radboud University Medical Center, Computational Pathology GroupVerified email at radboudumc.nl
Arnaud Arindra Adiyoso SetioSiemens HealthineersVerified email at siemens-healthineers.com
Meyke HermsenPhD CandidateVerified email at radboudumc.nl
Thijs KooiLunit Inc.Verified email at lunit.io
Mohsen GhafoorianMachine Learning R&D, QualcommVerified email at qti.qualcomm.com
Thomas de BelPhD Candidate, Radboud University Medical Center, Computational Pathology GroupVerified email at radboudumc.nl
Oscar GeessinkPhD candidate, Dept. of Pathology, Radboud University Medical CenterVerified email at radboudumc.nl
Iris NagtegaalVerified email at radboudumc.nl
David TellezPhD student, Department of Pathology, RadboudumcVerified email at radboudumc.nl
Jurgen FüttererInterventional Radiologist, Radboudumc & Professor, University of TwenteVerified email at radboudumc.nl
Ritse MannBreast and Interventional Radiologist, RadboudumcVerified email at radboudumc.nl

Geert Litjens

Other namesGerardus Litjens

Radboud University Medical Center

Verified email at radboudumc.nl - Homepage

digital pathology computer-aided detection MRI prostate cancer breast cancer


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A survey on deep learning in medical image analysis G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ... Medical image analysis 42, 60-88, 2017	9121	2017
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	2161	2017
Pulmonary nodule detection in ct images: false positive reduction using multi-view convolutional networks AAA Setio, F Ciompi, G Litjens, P Gerke, C Jacobs, SJ van Riel, ... IEEE transactions on medical imaging 35 (5), 1160-1169, 2016	1116	2016
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis G Litjens, CI Sánchez, N Timofeeva, M Hermsen, I Nagtegaal, I Kovacs, ... Scientific reports 6 (1), 1-11, 2016	904	2016
Large scale deep learning for computer aided detection of mammographic lesions T Kooi, G Litjens, B van Ginneken, A Gubern-Mérida, CI Sánchez, R Mann, ... Medical Image Analysis 35, 303-312, 2017	884	2017
A large annotated medical image dataset for the development and evaluation of segmentation algorithms AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B van Ginneken, ... arXiv preprint arXiv:1902.09063, 2019	583	2019
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge G Litjens, R Toth, W van de Ven, C Hoeks, S Kerkstra, B van Ginneken, ... Medical Image Analysis, 2013	557	2013
Computer-aided detection of prostate cancer in MRI G Litjens, O Debats, J Barentsz, N Karssemeijer, H Huisman IEEE transactions on medical imaging 33 (5), 1083-1092, 2014	433	2014
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study W Bulten, H Pinckaers, H van Boven, R Vink, T de Bel, B van Ginneken, ... The Lancet Oncology 21 (2), 233-241, 2020	366	2020
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	306	2018
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology D Tellez, G Litjens, P Bándi, W Bulten, JM Bokhorst, F Ciompi, ... Medical image analysis 58, 101544, 2019	284	2019
Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities M Ghafoorian, N Karssemeijer, T Heskes, IWM Uden, CI Sanchez, ... Scientific Reports 7 (1), 5110, 2017	241	2017
Stain specific standardization of whole-slide histopathological images BE Bejnordi, G Litjens, N Timofeeva, I Otte-Höller, A Homeyer, ... IEEE transactions on medical imaging 35 (2), 404-415, 2015	233	2015
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	232	2018
The 2019 International Society of Urological Pathology (ISUP) consensus conference on grading of prostatic carcinoma GJLH Van Leenders, TH Van Der Kwast, DJ Grignon, AJ Evans, ... The American journal of surgical pathology 44 (8), e87, 2020	224	2020
State-of-the-art deep learning in cardiovascular image analysis G Litjens, F Ciompi, JM Wolterink, BD de Vos, T Leiner, J Teuwen, I Išgum JACC: Cardiovascular Imaging 12 (8 Part 1), 1549-1565, 2019	215	2019
Deep learning in histopathology: the path to the clinic J van der Laak, G Litjens, F Ciompi Nature Medicine 27 (5), 775-784, 2021	203	2021
Using deep learning to segment breast and fibroglandular tissue in MRI volumes MU Dalmış, G Litjens, K Holland, A Setio, R Mann, N Karssemeijer, ... Medical physics 44 (2), 533-546, 2017	191	2017
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks D Tellez, M Balkenhol, I Otte-Höller, R van de Loo, R Vogels, P Bult, ... IEEE transactions on medical imaging 37 (9), 2126-2136, 2018	189	2018
Assessment of prostate cancer aggressiveness using dynamic contrast-enhanced magnetic resonance imaging at 3 T EK Vos, GJS Litjens, T Kobus, T Hambrock, CA Hulsbergen-van de Kaa, ... European urology 64 (3), 448-455, 2013	188	2013

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