Colin Jacobs
Colin Jacobs
Radboudumc, Nijmegen, The Netherlands
Verified email at - Homepage
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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
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
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
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
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
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
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
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
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
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
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
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
Solid, Part-Solid, or Non-Solid?: Classification of Pulmonary Nodules in Low-Dose Chest Computed Tomography by a Computer-Aided Diagnosis System
C Jacobs, EM van Rikxoort, ET Scholten, PA de Jong, M Prokop, ...
Investigative radiology 50 (3), 168-173, 2015
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
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, MMW Wille, ET Scholten, M Naqibullah, ...
European radiology 27 (10), 4019-4029, 2017
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, 2015
Computer-aided detection of ground glass nodules in thoracic CT images using shape, intensity and context features
C Jacobs, CI Sánchez, SC Saur, T Twellmann, PA de Jong, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2011
Normal range of emphysema and air trapping on CT in young men
OM Mets, RA van Hulst, C Jacobs, B van Ginneken, PA de Jong
American Journal of Roentgenology 199 (2), 336-340, 2012
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
Lung-RADS category 4X: does it improve prediction of malignancy in subsolid nodules?
K Chung, C Jacobs, ET Scholten, JM Goo, H Prosch, N Sverzellati, ...
Radiology 284 (1), 264-271, 2017
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