| 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 | 8188 | 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 | 1887 | 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 | 1031 | 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 | 818 | 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 | 789 | 2017 |
| 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 | 499 | 2013 |
| 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 | 412 | 2019 |
| 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 | 395 | 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 | 279 | 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 | 240 | 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 | 220 | 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 | 217 | 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 | 214 | 2015 |
| 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 | 184 | 2013 |
| 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 | 181 | 2018 |
| 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 | 176 | 2019 |
| 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 | 166 | 2017 |
| 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 | 161 | 2020 |
| 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 | 157 | 2018 |
| 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 | 156 | 2017 |
Jeroen van der LaakRadboud University Medical CenterVerified email at radboudumc.nl
