| 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 | 7640 | 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 | 986 | 2016 |
| 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 | 310 | 2015 |
| 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), 1-11, 2017 | 293 | 2017 |
| 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 | 282 | 2015 |
| 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 | 181 | 2019 |
| 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 | 157 | 2019 |
| 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 | 156 | 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 | 142 | 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 | 141 | 2018 |
| 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 | 121 | 2014 |
| Rayleigh mixture model for plaque characterization in intravascular ultrasound JC Seabra, F Ciompi, O Pujol, J Mauri, P Radeva, J Sanches IEEE Transactions on Biomedical Engineering 58 (5), 1314-1324, 2011 | 96 | 2011 |
| 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 | 84 | 2019 |
| 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 | 82 | 2017 |
| Deep learning in histopathology: the path to the clinic J Van der Laak, G Litjens, F Ciompi Nature medicine 27 (5), 775-784, 2021 | 74 | 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 | 65 | 2019 |
| HoliMAb: A holistic approach for Media–Adventitia border detection in intravascular ultrasound F Ciompi, O Pujol, C Gatta, M Alberti, S Balocco, X Carrillo, J Mauri-Ferre, ... Medical image analysis 16 (6), 1085-1100, 2012 | 62 | 2012 |
| 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), 1-16, 2020 | 57 | 2020 |
| 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), 1-13, 2020 | 53 | 2020 |
| Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines SJ van Riel, F Ciompi, C Jacobs, MM Winkler Wille, ET Scholten, ... European radiology 27 (10), 4019-4029, 2017 | 51 | 2017 |
Jeroen van der LaakRadboud University Medical CenterVerified email at radboudumc.nl
