| 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 | 1413 | 2016 |
| 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 | 451 | 2017 |
| Results of the randomized Danish lung cancer screening trial with focus on high-risk profiling MMW Wille, A Dirksen, H Ashraf, Z Saghir, KS Bach, J Brodersen, ... American journal of respiratory and critical care medicine 193 (5), 542-551, 2016 | 425 | 2016 |
| Ground-glass opacity lung nodules in the era of lung cancer CT screening: radiology, pathology, and clinical management. JH Pedersen, Z Saghir, MM Wille, LH Thomsen, BG Skov, H Ashraf Oncology (Williston Park, NY) 30 (3), 266-274, 2016 | 143 | 2016 |
| 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 | 106 | 2021 |
| Predictive accuracy of the PanCan lung cancer risk prediction model-external validation based on CT from the Danish lung cancer screening trial MM Winkler Wille, SJ van Riel, Z Saghir, A Dirksen, JH Pedersen, ... European radiology 25, 3093-3099, 2015 | 91 | 2015 |
| Bag-of-frequencies: a descriptor of pulmonary nodules in computed tomography images F Ciompi, C Jacobs, ET Scholten, MMW Wille, PA De Jong, M Prokop, ... IEEE transactions on medical imaging 34 (4), 962-973, 2014 | 67 | 2014 |
| Interstitial lung abnormalities are associated with increased mortality in smokers N Hoyer, MMW Wille, LH Thomsen, T Wilcke, A Dirksen, JH Pedersen, ... Respiratory medicine 136, 77-82, 2018 | 64 | 2018 |
| Tree-space statistics and approximations for large-scale analysis of anatomical trees A Feragen, M Owen, J Petersen, MMW Wille, LH Thomsen, A Dirksen, ... Information Processing in Medical Imaging: 23rd International Conference …, 2013 | 64 | 2013 |
| Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management SJ van Riel, C Jacobs, ET Scholten, R Wittenberg, MM Winkler Wille, ... European radiology 29, 924-931, 2019 | 60 | 2019 |
| Visual assessment of early emphysema and interstitial abnormalities on CT is useful in lung cancer risk analysis MMW Wille, LH Thomsen, J Petersen, M de Bruijne, A Dirksen, ... European radiology 26, 487-494, 2016 | 58 | 2016 |
| 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, 4019-4029, 2017 | 57 | 2017 |
| Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease J Petersen, M Nielsen, P Lo, LH Nordenmark, JH Pedersen, MMW Wille, ... Medical image analysis 18 (3), 531-541, 2014 | 48 | 2014 |
| Coronary artery calcification detected in lung cancer screening predicts cardiovascular death T Rasmussen, L Køber, J Abdulla, JH Pedersen, MMW Wille, A Dirksen, ... Scandinavian Cardiovascular Journal 49 (3), 159-167, 2015 | 47 | 2015 |
| Emphysema progression is visually detectable in low-dose CT in continuous but not in former smokers MMW Wille, LH Thomsen, A Dirksen, J Petersen, JH Pedersen, ... European radiology 24, 2692-2699, 2014 | 43 | 2014 |
| Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers SJ Van Riel, F Ciompi, MM Winkler Wille, A Dirksen, S Lam, ET Scholten, ... PLoS One 12 (11), e0185032, 2017 | 38 | 2017 |
| Deep learning from label proportions for emphysema quantification G Bortsova, F Dubost, S Ørting, I Katramados, L Hogeweg, L Thomsen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 37 | 2018 |
| A hierarchical scheme for geodesic anatomical labeling of airway trees A Feragen, J Petersen, M Owen, P Lo, LH Thomsen, MMW Wille, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 32 | 2012 |
| Geodesic atlas-based labeling of anatomical trees: Application and evaluation on airways extracted from CT A Feragen, J Petersen, M Owen, P Lo, LH Thomsen, MMW Wille, ... IEEE transactions on medical imaging 34 (6), 1212-1226, 2014 | 30 | 2014 |
| Effect of inspiration on airway dimensions measured in maximal inspiration CT images of subjects without airflow limitation J Petersen, MMW Wille, LL Rakêt, A Feragen, JH Pedersen, M Nielsen, ... European radiology 24, 2319-2325, 2014 | 30 | 2014 |
