Pim A. de Jong
According to our database1,
Pim A. de Jong
authored at least 33 papers
between 2009 and 2022.
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Bibliography
2022
2020
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning.
CoRR, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
IEEE Trans. Medical Imaging, 2019
Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning.
npj Digit. Medicine, 2019
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification.
Medical Image Anal., 2019
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
2018
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.
IEEE Trans. Medical Imaging, 2018
CoRR, 2018
2017
IEEE Trans. Medical Imaging, 2017
Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
2016
Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures.
Frontiers ICT, 2016
2D image classification for 3D anatomy localization: employing deep convolutional neural networks.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Genome-wide association study of coronary and aortic calcification in lung cancer screening CT.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
IEEE Trans. Medical Imaging, 2015
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.
Medical Image Anal., 2015
Automatic machine learning based prediction of cardiovascular events in lung cancer screening data.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images.
Medical Image Anal., 2014
Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2012
Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2011
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Rib suppression in chest radiographs to improve classification of textural abnormalities.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009