| 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, S van Riel, ... IEEE Transactions on Medical Imaging, 2016 | 1407 | 2016 |
| 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 | 1220 | 2017 |
| Memory-centric accelerator design for Convolutional Neural Networks M Peemen, AAA Setio, B Mesman, H Corporaal Computer Design (ICCD), 2013 IEEE 31st International Conference on, 13-19, 2013 | 484 | 2013 |
| 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 IEEE International Symposium on Biomedical Imaging, 2015 | 383 | 2015 |
| 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 | 246 | 2017 |
| 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 | 167 | 2015 |
| 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 |
| 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 | 105 | 2021 |
| Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT N Lessmann, I Isgum, AAA Setio, BD de Vos, F Ciompi, PA de Jong, ... SPIE Medical Imaging, 2016 | 65 | 2016 |
| No surprises: training robust lung nodule detection for low-dose CT scans by augmenting with adversarial attacks S Liu, AAA Setio, FC Ghesu, E Gibson, S Grbic, B Georgescu, ... arXiv preprint arXiv:2003.03824, 2020 | 53 | 2020 |
| Class-aware adversarial lung nodule synthesis in CT images J Yang, S Liu, S Grbic, AAA Setio, Z Xu, E Gibson, G Chabin, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 42 | 2019 |
| Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans GE Humpire-Mamani, AAA Setio, B Van Ginneken, C Jacobs Physics in Medicine & Biology 63 (8), 085003, 2018 | 41 | 2018 |
| Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment S Gündel, AAA Setio, FC Ghesu, S Grbic, B Georgescu, A Maier, ... Medical Image Analysis 72, 102087, 2021 | 40 | 2021 |
| The price of artificial intelligence E Coiera Yearbook of medical informatics 28 (01), 014-015, 2019 | 40 | 2019 |
| Deep learning for lung cancer detection on screening CT scans: results of a large-scale public competition and an observer study with 11 radiologists C Jacobs, AAA Setio, ET Scholten, PK Gerke, H Bhattacharya, ... Radiology: Artificial Intelligence 3 (6), e210027, 2021 | 34 | 2021 |
| Synthetic database of aortic morphometry and hemodynamics: overcoming medical imaging data availability B Thamsen, P Yevtushenko, L Gundelwein, AAA Setio, H Lamecker, ... IEEE Transactions on Medical Imaging 40 (5), 1438-1449, 2021 | 30 | 2021 |
| Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modelling of Hemodynamics P Yevtushenko, L Goubergrits, L Gundelwein, AAA Setio, T Heimann, ... IEEE Journal of Biomedical and Health Informatics, 2021 | 27 | 2021 |
| Organ detection in thorax abdomen CT using multi-label convolutional neural networks GEH Mamani, AAA Setio, B van Ginneken, C Jacobs Medical Imaging 2017: Computer-Aided Diagnosis 10134, 287-292, 2017 | 25 | 2017 |
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityEmail verificata su radboudumc.nl