102 citations · 113 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study
Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh +5
Amidst the ongoing pandemic, several studies have shown that COVID-19 classification and grading using computed tomography (CT) images can be automated with convolutional neural ne…
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…