7 citations · 8 across the 3 of their papers we have counts for
4 papers · 1 filter
CNN-based Lung CT Registration with Multiple Anatomical Constraints
Alessa Hering, Stephanie Häger, Jan Moltz +3
Deep-learning-based registration methods emerged as a fast alternative to conventional registration methods. However, these methods often still cannot achieve the same performance…
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…