270 citations · 271 across the 4 of their papers we have counts for
5 papers
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis +3
Electronic health records (EHRs) contain structured and unstructured data of significant clinical and research value. Various machine learning approaches have been developed to emp…
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
Linde S. Hesse, Pim A. de Jong, Josien P. W. Pluim +1
Early detection of lung cancer has been proven to decrease mortality significantly. A recent development in computed tomography (CT), spectral CT, can potentially improve diagnosti…
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning
Sanne G. M. van Velzen, Majd Zreik, Nikolas Lessmann +4
Cardiovascular disease (CVD) is a leading cause of death in the lung cancer screening population. Chest CT scans made in lung cancer screening are suitable for identification of pa…
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
Nikolas Lessmann, Bram van Ginneken, Pim A. de Jong +1
Precise segmentation and anatomical identification of the vertebrae provides the basis for automatic analysis of the spine, such as detection of vertebral compression fractures or…
Direct and Real-Time Cardiovascular Risk Prediction
Bob D. de Vos, Nikolas Lessmann, Pim A. de Jong +2
Coronary artery calcium (CAC) burden quantified in low-dose chest CT is a predictor of cardiovascular events. We propose an automatic method for CAC quantification, circumventing i…