Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis. - Yulia Arzhaeva; Laurens Hogeweg; Pim A. de Jong; Max A. Viergever; Bram van Ginneken (MICCAI (1), 2009)

Rib suppression in chest radiographs to improve classification of textural abnormalities. - Laurens E. Hogeweg; Christian Mol; Pim A. de Jong; Bram van Ginneken (Computer-Aided Diagnosis, 2010)

Interactive annotation of textures in thoracic CT scans. - Thessa T. J. P. Kockelkorn; Pim A. de Jong; Hester A. Gietema; Jan C. Grutters; Mathias Prokop; Bram van Ginneken (Computer-Aided Diagnosis, 2010)

Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs. - Laurens Hogeweg; Christian Mol; Pim A. de Jong; Rodney Dawson; Helen Ayles; Bram van Ginneken (MICCAI (3), 2010)

Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates. - Geert J. S. Litjens; Laurens Hogeweg; Arnold M. R. Schilham; Pim A. de Jong; Max A. Viergever; Bram van Ginneken (MICCAI (2), 2010)

Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. - Colin Jacobs; Clara I. Sánchez; Stefan C. Saur; Thorsten Twellmann; Pim A. de Jong; Bram van Ginneken (MICCAI (3), 2011)

Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study. - 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 (ICPR, 2012)

Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans. - Eva M. van Rikxoort; Pim A. de Jong; O. M. Mets; Bram van Ginneken (Computer-Aided Diagnosis, 2012)

Clavicle segmentation in chest radiographs. - Laurens Hogeweg; Clara I. Sánchez; Pim A. de Jong; Pragnya Maduskar; Bram van Ginneken (Medical Image Anal., 2012)

Extraction of Airways From CT (EXACT'09). - Pechin Lo; Bram van Ginneken; Joseph M. Reinhardt; Tarunashree Yavarna; Pim A. de Jong; Benjamin Irving; Catalin I. Fetita; Margarete Ortner; Romulo Pinho; Jan Sijbers; Marco Feuerstein; Anna Fabijanska; et al. (IEEE Trans. Medical Imaging, 2012)

Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis. - Colin Jacobs; S. H. T. T. Opdam; Eva M. van Rikxoort; O. M. Mets; J. Rooyackers; Pim A. de Jong; Mathias Prokop; Bram van Ginneken (Computer-Aided Diagnosis, 2014)

Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. - Colin Jacobs; Eva M. van Rikxoort; Thorsten Twellmann; Ernst Th. Scholten; Pim A. de Jong; Jan-Martin Kuhnigk; Matthijs Oudkerk; Harry J. de Koning; Mathias Prokop; Cornelia Schaefer-Prokop; Bram van Ginneken (Medical Image Anal., 2014)

Automatic machine learning based prediction of cardiovascular events in lung cancer screening data. - Bob D. de Vos; Pim A. de Jong; Jelmer M. Wolterink; Rozemarijn Vliegenthart; Geoffrey V. F. Wielingen; Max A. Viergever; Ivana Isgum (Computer-Aided Diagnosis, 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. - Francesco Ciompi; Bartjan de Hoop; Sarah J. van Riel; Kaman Chung; Ernst Th. Scholten; Matthijs Oudkerk; Pim A. de Jong; Mathias Prokop; Bram van Ginneken (Medical Image Anal., 2015)

Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images. - Francesco Ciompi; Colin Jacobs; Ernst Th. Scholten; Mathilde M. W. Wille; Pim A. de Jong; Mathias Prokop; Bram van Ginneken (IEEE Trans. Medical Imaging, 2015)

Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. - Nikolas Leßmann; Ivana Isgum; Arnaud A. A. Setio; Bob D. de Vos; Francesco Ciompi; Pim A. de Jong; Matthijs Oudkerk; W. P. Th. M. Mali; Max A. Viergever; Bram van Ginneken (Computer-Aided Diagnosis, 2016)

Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor. - Bob D. de Vos; Max A. Viergever; Pim A. de Jong; Ivana Isgum (LABELS/DLMIA@MICCAI, 2016)

Genome-wide association study of coronary and aortic calcification in lung cancer screening CT. - Bob D. de Vos; Jessica van Setten; Pim A. de Jong; Willem Mali; Matthijs Oudkerk; Max A. Viergever; Ivana Isgum (Image Processing, 2016)

2D image classification for 3D anatomy localization: employing deep convolutional neural networks. - Bob D. de Vos; Jelmer M. Wolterink; Pim A. de Jong; Max A. Viergever; Ivana Isgum (Image Processing, 2016)

Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures. - 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 (Frontiers ICT, 2016)

Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network. - Jurica Sprem; Bob D. de Vos; Pim A. de Jong; Max A. Viergever; Ivana Isgum (Image Processing, 2017)

ConvNet-Based Localization of Anatomical Structures in 3D Medical Images. - Bob D. de Vos; Jelmer M. Wolterink; Pim A. de Jong; Tim Leiner; Max A. Viergever; Ivana Isgum (CoRR, 2017)

Direct and Real-Time Cardiovascular Risk Prediction. - Bob D. de Vos; Nikolas Leßmann; Pim A. de Jong; Max A. Viergever; Ivana Isgum (CoRR, 2017)

ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images. - Bob D. de Vos; Jelmer M. Wolterink; Pim A. de Jong; Tim Leiner; Max A. Viergever; Ivana Isgum (IEEE Trans. Medical Imaging, 2017)

Iterative fully convolutional neural networks for automatic vertebra segmentation. - Nikolas Leßmann; Bram van Ginneken; Pim A. de Jong; Ivana Isgum (CoRR, 2018)

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. - Nikolas Leßmann; Bram van Ginneken; Majd Zreik; Pim A. de Jong; Bob D. de Vos; Max A. Viergever; Ivana Isgum (IEEE Trans. Medical Imaging, 2018)

Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. - Sanne G. M. van Velzen; Majd Zreik; Nikolas Leßmann; Max A. Viergever; Pim A. de Jong; Helena M. Verkooijen; Ivana Isgum (Image Processing, 2019)

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification. - Nikolas Leßmann; Bram van Ginneken; Pim A. de Jong; Ivana Isgum (Medical Image Anal., 2019)

Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning. - Wouter A. C. van Amsterdam; Joost J. C. Verhoeff; Pim A. de Jong; Tim Leiner; Marinus J. C. Eijkemans (npj Digit. Medicine, 2019)

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. - Bob D. de Vos; Jelmer M. Wolterink; Tim Leiner; Pim A. de Jong; Nikolas Leßmann; Ivana Isgum (IEEE Trans. Medical Imaging, 2019)

Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. - Ayoub Bagheri; T. Katrien J. Groenhof; Wouter B. Veldhuis; Pim A. de Jong; Folkert W. Asselbergs; Daniel L. Oberski (BCB, 2020)

Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning. - Linde S. Hesse; Pim A. de Jong; Josien P. W. Pluim; Veronika Cheplygina (CoRR, 2020)

Decision making in cancer: Causal questions require causal answers. - Wouter A. C. van Amsterdam; Pim A. de Jong; Joost J. C. Verhoeff; Tim Leiner; Rajesh Ranganath (CoRR, 2022)

From algorithms to action: improving patient care requires causality. - Wouter A. C. van Amsterdam; Pim A. de Jong; Joost J. C. Verhoeff; Tim Leiner; Rajesh Ranganath (BMC Medical Informatics Decis. Mak., 2024)