1 code implementation • 5 Sep 2023 • Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Dirk Jan Slebos, Bram van Ginneken
Manual analysis of emphysema subtypes and severity is laborious and subjective.
no code implementations • 17 Jan 2022 • Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva van Rikxoort, Avishek Chatterjee, Henry Woodruff, Philippe Lambin, Leonor Cerdá-Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang
Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and protocols to improve stability and robustness.
1 code implementation • 12 Jan 2022 • Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
The proposed method formulates airway labeling as a branch classification problem in the airway tree graph, where branch features are extracted using convolutional neural networks (CNN) and enriched using graph neural networks.
no code implementations • 25 May 2021 • Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
Therefore, we propose a weakly-supervised segmentation method based on dense regression activation maps (dRAMs).
no code implementations • 16 Apr 2020 • Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
We argue that such structural relationships play a critical role in the accurate delineation of pulmonary lobes when the lungs are affected by diseases such as COVID-19 or COPD.