| 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 | 13370 | 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 | 1407 | 2016 |
| Deep learning in histopathology: the path to the clinic J Van der Laak, G Litjens, F Ciompi Nature medicine 27 (5), 775-784, 2021 | 651 | 2021 |
| 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 | 531 | 2019 |
| Towards automatic pulmonary nodule management in lung cancer screening with deep learning F Ciompi, K Chung, SJ Van Riel, AAA Setio, PK Gerke, C Jacobs, ... Scientific reports 7 (1), 46479, 2017 | 452 | 2017 |
| Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans B Van Ginneken, AAA Setio, C Jacobs, F Ciompi 2015 IEEE 12th International symposium on biomedical imaging (ISBI), 286-289, 2015 | 383 | 2015 |
| 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 | 373 | 2019 |
| Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box F Ciompi, B de Hoop, SJ van Riel, K Chung, ET Scholten, M Oudkerk, ... Medical image analysis 26 (1), 195-202, 2015 | 369 | 2015 |
| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 312 | 2019 |
| 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 | 289 | 2018 |
| Neural image compression for gigapixel histopathology image analysis D Tellez, G Litjens, J Van der Laak, F Ciompi IEEE transactions on pattern analysis and machine intelligence 43 (2), 567-578, 2019 | 263 | 2019 |
| 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 | 237 | 2017 |
| Standardized evaluation methodology and reference database for evaluating IVUS image segmentation S Balocco, C Gatta, F Ciompi, A Wahle, P Radeva, S Carlier, G Unal, ... Computerized medical imaging and graphics 38 (2), 70-90, 2014 | 162 | 2014 |
| Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer Z Kos, E Roblin, RS Kim, S Michiels, BD Gallas, W Chen, KK van de Vijver, ... NPJ breast cancer 6 (1), 17, 2020 | 155 | 2020 |
| HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images M Van Rijthoven, M Balkenhol, K Siliņa, J Van Der Laak, F Ciompi Medical image analysis 68, 101890, 2021 | 152 | 2021 |
| 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 | 148 | 2019 |
| Report on computational assessment of tumor infiltrating lymphocytes from the International Immuno-Oncology Biomarker Working Group M Amgad, ES Stovgaard, E Balslev, J Thagaard, W Chen, S Dudgeon, ... NPJ breast cancer 6 (1), 16, 2020 | 138 | 2020 |
| Improving airway segmentation in computed tomography using leak detection with convolutional networks JP Charbonnier, EM Van Rikxoort, AAA Setio, CM Schaefer-Prokop, ... Medical image analysis 36, 52-60, 2017 | 120 | 2017 |
| Mitosis domain generalization in histopathology images—the MIDOG challenge M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ... Medical Image Analysis 84, 102699, 2023 | 106 | 2023 |
| Deep learning assisted mitotic counting for breast cancer MCA Balkenhol, D Tellez, W Vreuls, PC Clahsen, H Pinckaers, F Ciompi, ... Laboratory investigation 99 (11), 1596-1606, 2019 | 105 | 2019 |
Jeroen van der LaakRadboud University Medical CenterEmail verificata su radboudumc.nl