activity
20172023
most citedRelational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans

102 citations · 167 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2023★ 7 cited

Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks

Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier +2

Accurate identification of emphysema subtypes and severity is crucial for effective management of COPD and the study of disease heterogeneity. Manual analysis of emphysema subtypes…

cs.CV2022★ 4 cited

Structure and position-aware graph neural network for airway labeling

Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier +1

We present a novel graph-based approach for labeling the anatomical branches of a given airway tree segmentation. The proposed method formulates airway labeling as a branch classif…

eess.IV2021

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…

eess.IV2021★ 1 cited

Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients

Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier +1

Automatic lesion segmentation on thoracic CT enables rapid quantitative analysis of lung involvement in COVID-19 infections. However, obtaining a large amount of voxel-level annota…

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…

eess.IV2020★ 15 cited

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data

Xin Wang, Ruisheng Su, Weiyi Xie +5

In medical-data driven learning, 3D convolutional neural networks (CNNs) have started to show superior performance to 2D CNNs in numerous deep learning tasks, proving the added val…

stat.AP2017★ 38 cited

A Geometric Approach to Visualization of Variability in Functional Data

Weiyi Xie, Sebastian Kurtek, Karthik Bharath +1

We propose a new method for the construction and visualization of boxplot-type displays for functional data. We use a recent functional data analysis framework, based on a represen…