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Geert Litjens
Geert Litjens
Andere namenGerardus Litjens
Radboud University Medical Center
Geverifieerd e-mailadres voor radboudumc.nl - Homepage
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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
140182017
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
33552017
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
14302016
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), 26286, 2016
12072016
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
11472017
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
11332019
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature Communications 13 (1), 1-13, 2022
11082022
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
8572013
Deep learning in histopathology: the path to the clinic
J van der Laak, G Litjens, F Ciompi
Nature Medicine 27 (5), 775-784, 2021
7132021
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
6572020
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
6372018
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
5632014
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
5592019
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-e99, 2020
5092020
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...
Nature medicine 28 (1), 154-163, 2022
4222022
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
4202018
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
3872019
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
3302015
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
3072017
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
2982018
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