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Pim A. de Jong
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2020 – today
- 2024
- [j12]Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff, Tim Leiner, Rajesh Ranganath:
From algorithms to action: improving patient care requires causality. BMC Medical Informatics Decis. Mak. 24(3): 111 (2024) - 2022
- [i9]Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff, Tim Leiner, Rajesh Ranganath:
Decision making in cancer: Causal questions require causal answers. CoRR abs/2209.07397 (2022) - 2020
- [c17]Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs
, Daniel L. Oberski:
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. BCB 2020: 78:1 - [i8]Linde S. Hesse, Pim A. de Jong, Josien P. W. Pluim, Veronika Cheplygina:
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning. CoRR abs/2006.16633 (2020) - [i7]Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski:
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. CoRR abs/2008.11979 (2020)
2010 – 2019
- 2019
- [j11]Nikolas Leßmann
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification. Medical Image Anal. 53: 142-155 (2019) - [j10]Wouter A. C. van Amsterdam
Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning. npj Digit. Medicine 2 (2019) - [j9]Bob D. de Vos
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. IEEE Trans. Medical Imaging 38(9): 2127-2138 (2019) - [c16]Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. Image Processing 2019: 109490X - [i6]Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum:
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. CoRR abs/1902.05408 (2019) - 2018
- [j8]Nikolas Leßmann
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. IEEE Trans. Medical Imaging 37(2): 615-625 (2018) - [i5]Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum:
Iterative fully convolutional neural networks for automatic vertebra segmentation. CoRR abs/1804.04383 (2018) - [i4]Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum:
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning. CoRR abs/1810.02277 (2018) - 2017
- [j7]Bob D. de Vos
ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images. IEEE Trans. Medical Imaging 36(7): 1470-1481 (2017) - [c15]Jurica Sprem
Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network. Image Processing 2017: 101330R - [i3]Bob D. de Vos, Jelmer M. Wolterink, Pim A. de Jong, Tim Leiner, Max A. Viergever, Ivana Isgum:
ConvNet-Based Localization of Anatomical Structures in 3D Medical Images. CoRR abs/1704.05629 (2017) - [i2]Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. CoRR abs/1711.00349 (2017) - [i1]Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum:
Direct and Real-Time Cardiovascular Risk Prediction. CoRR abs/1712.02982 (2017) - 2016
- [j6]Thessa T. J. P. Kockelkorn, Rui Ramos, José Ramos, Pim A. de Jong, Cornelia Schaefer-Prokop, Rianne Wittenberg, Audrey M. Tiehuis, Jan C. Grutters, Max A. Viergever, Bram van Ginneken
Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures. Frontiers ICT 3: 33 (2016) - [c14]Nikolas Leßmann
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Computer-Aided Diagnosis 2016: 978511 - [c13]Bob D. de Vos, Max A. Viergever, Pim A. de Jong, Ivana Isgum:
Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor. LABELS/DLMIA@MICCAI 2016: 161-169 - [c12]Bob D. de Vos, Jessica van Setten, Pim A. de Jong, Willem Mali, Matthijs Oudkerk
Genome-wide association study of coronary and aortic calcification in lung cancer screening CT. Image Processing 2016: 97841L - [c11]Bob D. de Vos, Jelmer M. Wolterink
2D image classification for 3D anatomy localization: employing deep convolutional neural networks. Image Processing 2016: 97841Y - 2015
- [j5]Francesco Ciompi
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. 26(1): 195-202 (2015) - [j4]Francesco Ciompi
Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images. IEEE Trans. Medical Imaging 34(4): 962-973 (2015) - [c10]Bob D. de Vos, Pim A. de Jong, Jelmer M. Wolterink
Automatic machine learning based prediction of cardiovascular events in lung cancer screening data. Computer-Aided Diagnosis 2015: 94140D - 2014
- [j3]Colin Jacobs
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. Medical Image Anal. 18(2): 374-384 (2014) - [c9]Colin Jacobs
Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis. Computer-Aided Diagnosis 2014: 90351I - 2012
- [j2]Laurens Hogeweg, Clara I. Sánchez, Pim A. de Jong, Pragnya Maduskar, Bram van Ginneken
Clavicle segmentation in chest radiographs. Medical Image Anal. 16(8): 1490-1502 (2012) - [j1]Pechin Lo, Bram van Ginneken
Extraction of Airways From CT (EXACT'09). IEEE Trans. Medical Imaging 31(11): 2093-2107 (2012) - [c8]Thessa T. J. P. Kockelkorn, Clara I. Sánchez, Jan C. Grutters, Rui Ramos, Pim A. de Jong, Max A. Viergever, José Ramos, Cornelia Schaefer-Prokop, Bram van Ginneken:
Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study. ICPR 2012: 105-108 - [c7]Eva M. van Rikxoort, Pim A. de Jong, O. M. Mets, Bram van Ginneken
Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans. Computer-Aided Diagnosis 2012: 83150P - 2011
- [c6]Colin Jacobs
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. MICCAI (3) 2011: 207-214 - 2010
- [c5]Laurens E. Hogeweg, Christian Mol, Pim A. de Jong, Bram van Ginneken
Rib suppression in chest radiographs to improve classification of textural abnormalities. Computer-Aided Diagnosis 2010: 76240Y - [c4]Thessa T. J. P. Kockelkorn, Pim A. de Jong, Hester A. Gietema, Jan C. Grutters, Mathias Prokop
Interactive annotation of textures in thoracic CT scans. Computer-Aided Diagnosis 2010: 76240X - [c3]Geert J. S. Litjens
Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates. MICCAI (2) 2010: 396-403 - [c2]Laurens Hogeweg, Christian Mol, Pim A. de Jong, Rodney Dawson, Helen Ayles
Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs. MICCAI (3) 2010: 650-657
2000 – 2009
- 2009
- [c1]Yulia Arzhaeva, Laurens Hogeweg, Pim A. de Jong, Max A. Viergever, Bram van Ginneken
Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis. MICCAI (1) 2009: 724-731
Coauthor Index
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