activity
20162026
most citedValidation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

1.4k citations · 3.1k across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

eess.IV2020★ 7 cited

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…

eess.IV2020★ 102 cited

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…