C. Jacobs, A. Setio, E. Scholten, P. Gerke, H. Bhattacharya, F. M. Hoesein, M. Brink, E. Ranschaert, P. de Jong, M. Silva, B. Geurts, K. Chung, S. Schalekamp, J. Meersschaert, A. Devaraj, P. Pinsky, S. Lam, B. van Ginneken and K. Farahani, "Deep Learning for Lung Cancer Detection in Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists",
Radiology: Artificial Intelligence,
2021;3(6):e210027.
K. Venkadesh, A. Setio, A. Schreuder, E. Scholten, K. Chung, M. W Wille, Z. Saghir, B. van Ginneken, M. Prokop and C. Jacobs, "Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.",
Radiology,
2021;300(2):438-447.
G. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs, "Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans",
Physics in Medicine and Biology,
2018;63(8):085003.
F. Ciompi, K. Chung, S. van Riel, A. Setio, P. Gerke, C. Jacobs, E. Scholten, C. Schaefer-Prokop, M. Wille, A. Marchiano, U. Pastorino, M. Prokop and B. van Ginneken, "Towards automatic pulmonary nodule management in lung cancer screening with deep learning",
Scientific Reports,
2017(46479).
G. Litjens, T. Kooi, B. Ehteshami Bejnordi, A. Setio, F. Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken and C. Sánchez, "A Survey on Deep Learning in Medical Image Analysis",
Medical Image Analysis,
2017;42:60-88.
A. Setio, A. Traverso, T. de Bel, M. Berens, C. Bogaard, P. Cerello, H. Chen, Q. Dou, M. Fantacci, B. Geurts, R. Gugten, P. Heng, B. Jansen, M. de Kaste, V. Kotov, J. Lin, J. Manders, A. Sonora-Mengana, J. Garcia-Naranjo, E. Papavasileiou, M. Prokop, M. Saletta, C. Schaefer-Prokop, E. Scholten, L. Scholten, M. Snoeren, E. Torres, J. Vandemeulebroucke, N. Walasek, G. Zuidhof, B. Ginneken and C. Jacobs, "Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge",
Medical Image Analysis,
2017;42:1-13.
M. Dalmis, G. Litjens, K. Holland, A. Setio, R. Mann, N. Karssemeijer and A. Gubern-Mérida, "Using deep learning to segment breast and fibroglandular tissue in MRI volumes",
Medical Physics,
2017;44(2):533-546.
J. Charbonnier, E. van Rikxoort, A. Setio, C. Schaefer-Prokop, B. van Ginneken and F. Ciompi, "Improving Airway Segmentation in Computed Tomography using Leak Detection with Convolutional Networks",
Medical Image Analysis,
2017;36:52-60.
A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez and B. van Ginneken, "Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks",
IEEE Transactions on Medical Imaging,
2016;35(5):1160-1169.
A. Setio, C. Jacobs, J. Gelderblom and B. van Ginneken, "Automatic detection of large pulmonary solid nodules in thoracic CT images",
Medical Physics,
2015;42(10):5642-5653.
G. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs, "Organ detection in thorax abdomen CT using multi-label convolutional neural networks",
Medical Imaging,
2017;10134.
N. Lessmann, I. Išgum, A. Setio, B. de Vos, F. Ciompi, P. de Jong, M. Oudkerk, W. Mali, M. Viergever and B. van Ginneken, "Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT",
Medical Imaging,
2016;9785:978511-1 - 978511-6.
B. van Ginneken, A. Setio, C. Jacobs and F. Ciompi, "Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans",
IEEE International Symposium on Biomedical Imaging,
2015:286-289.
A. Setio, C. Jacobs, F. Ciompi, S. van Riel, M. Wille, A. Dirksen, E. van Rikxoort and B. van Ginneken, "Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model",
Medical Imaging,
2015;9414(94141O).
A. Setio, F. van der Sommen, S. Zinger, E. Schoon and P. de With, "Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy",
Proc. VISAPP,
2013:238-243.
M. Peemen, A. Setio, B. Mesman and H. Corporaal, "Memory-centric accelerator design for Convolutional Neural Networks",
Computer Design (ICCD), 2013 IEEE 31st International Conference on,
2013:13-19.
K. Venkadesh, A. Setio, Z. Saghir, B. van Ginneken and C. Jacobs, "Deep Learning for Lung Nodule Malignancy Prediction: Comparison With Clinicians and the Brock Model on an Independent Dataset From a Large Lung Screening Trial",
Annual Meeting of the Radiological Society of North America,
2020.
M. Hall, A. Setio, S. Sheridan, M. Sproule, M. Williams, E. Scholten, C. Jacobs, B. Van Ginneken and G. Roditi, "Computer aided detection (CAD) and scoring of lung nodules in a Scottish lung cancer screening programme",
European Congress of Radiology,
2018.
F. Ciompi, K. Chung, A. Setio, S. van Riel, E. Scholten, P. Gerke, C. Jacobs, U. Pastorino, A. Marchiano, M. Wille, M. Prokop and B. van Ginneken, "Pulmonary nodule type classification with convolutional networks",
Medical Image Computing and Computer-Assisted Intervention,
2016.
A. Setio, J. Gelderblom, C. Jacobs and B. van Ginneken, "Automatic Detection of Large Pulmonary Nodules in Thoracic CT Images",
Annual Meeting of the Radiological Society of North America,
2014.