102 citations · 102 across the 2 of their papers we have counts for
5 papers
Deep Clustering Activation Maps for Emphysema Subtyping
Weiyi Xie, Colin Jacobs, Bram van Ginneken
We propose a deep learning clustering method that exploits dense features from a segmentation network for emphysema subtyping from computed tomography (CT) scans. Using dense featu…
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans
Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier +1
Pulmonary lobe segmentation in computed tomography scans is essential for regional assessment of pulmonary diseases. Recent works based on convolution neural networks have achieved…
Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network
Nikolas Lessmann, Jelmer M. Wolterink, Majd Zreik +3
Thin-plate splines can be used for interpolation of image values, but can also be used to represent a smooth surface, such as the boundary between two structures. We present a meth…
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration
Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez +5
Purpose: To validate the performance of a commercially-available, CE-certified deep learning (DL) system, RetCAD v.1.3.0 (Thirona, Nijmegen, The Netherlands), for the joint automat…
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi +10
There is a growing interest in the automated analysis of chest X-Ray (CXR) as a sensitive and inexpensive means of screening susceptible populations for pulmonary tuberculosis. In…