| 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 | 1430 | 2016 |
| The Liver Tumor Segmentation Benchmark (LiTS) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 1369* | 2019 |
| Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge AAA Setio, A Traverso, T De Bel, MSN Berens, C van den Bogaard, ... Medical image analysis 42, 1-13, 2017 | 1277 | 2017 |
| 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, 2017 | 459 | 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 | 390 | 2015 |
| Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images C Jacobs, EM van Rikxoort, T Twellmann, ET Scholten, PA de Jong, ... Medical image analysis 18 (2), 374-384, 2014 | 309 | 2014 |
| Observer variability for classification of pulmonary nodules on low-dose CT images and its effect on nodule management SJ van Riel, CI Sánchez, AA Bankier, DP Naidich, J Verschakelen, ... Radiology 277 (3), 863-871, 2015 | 209 | 2015 |
| Automatic detection of large pulmonary solid nodules in thoracic CT images AAA Setio, C Jacobs, J Gelderblom, B van Ginneken Medical Physics 42 (10), 5642-5653, 2015 | 169 | 2015 |
| Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database C Jacobs, EM van Rikxoort, K Murphy, M Prokop, CM Schaefer-Prokop, ... European Radiology, 1-9, 2015 | 137 | 2015 |
| Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules? ET Scholten, PA de Jong, B de Hoop, R van Klaveren, ... European Respiratory Journal 45 (3), 765-773, 2015 | 130 | 2015 |
| Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT KV Venkadesh, AAA Setio, A Schreuder, ET Scholten, K Chung, ... Radiology 300 (2), 438-447, 2021 | 117 | 2021 |
| Relational modeling for robust and efficient pulmonary lobe segmentation in ct scans W Xie, C Jacobs, JP Charbonnier, B van Ginneken IEEE transactions on medical imaging 39 (8), 2664-2675, 2020 | 117 | 2020 |
| Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology 298 (1), E18-E28, 2021 | 115 | 2021 |
| iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network G Aresta, C Jacobs, T Araújo, A Cunha, I Ramos, B van Ginneken, ... Scientific reports 9 (1), 1-9, 2019 | 107 | 2019 |
| Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans BC Lassen, C Jacobs, JM Kuhnigk, B van Ginneken, EM van Rikxoort Physics in Medicine & Biology 60 (3), 1307, 2015 | 102 | 2015 |
| Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model-External Validation based on CT from the Danish Lung Cancer Screening Trial MMW Wille, SJ van Riel, Z Saghir, A Dirksen, JH Pedersen, C Jacobs, ... European radiology 25 (10), 3093-3099, 2015 | 94 | 2015 |
| Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice? A Schreuder, ET Scholten, B van Ginneken, C Jacobs Translational Lung Cancer Research 10 (5), 2378, 2021 | 76 | 2021 |
| Long-Term Active Surveillance of Screening Detected Subsolid Nodules is a Safe Strategy to Reduce Overtreatment M Silva, M Prokop, C Jacobs, G Capretti, N Sverzellati, F Ciompi, ... Journal of Thoracic Oncology 13 (10), 1454-1463, 2018 | 74 | 2018 |
| Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology, 202439, 2020 | 71 | 2020 |
| Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation ET Scholten, C Jacobs, B van Ginneken, S van Riel, R Vliegenthart, ... European radiology 25 (2), 488-496, 2015 | 68 | 2015 |
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityBestätigte E-Mail-Adresse bei radboudumc.nl
