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01/25/2023
Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning
Intraoperative shape reconstruction of organs from endoscopic camera ima...
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12/11/2022
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs
Deformable registration of two-dimensional/three-dimensional (2D/3D) ima...
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10/23/2022
Feedback Assisted Adversarial Learning to Improve the Quality of Cone-beam CT Images
Unsupervised image translation using adversarial learning has been attra...
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10/31/2021
IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration
Organ shape reconstruction based on a single-projection image during tre...
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02/24/2021
Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks
In video-assisted thoracoscopic surgeries, successful procedures of nodu...
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12/24/2020
Statistical modeling of pneumothorax deformation by mapping CT and cone-beam CT images
In this study, we introduce statistical modeling methods for pneumothora...
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10/15/2020
Analysis of Heterogeneity of Pneumothorax-associated Deformation using Model-based Registration
Recent advances in imaging techniques have enabled us to visualize lung ...
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11/19/2019
Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction
The reduction of metal artifacts in computed tomography (CT) images, spe...
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11/13/2019
Statistical Deformation Reconstruction Using Multi-organ Shape Features for Pancreatic Cancer Localization
Respiratory motion and the associated deformations of abdominal organs a...
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02/21/2019
Sparse Elasticity Reconstruction and Clustering using Local Displacement Fields
This paper introduces an elasticity reconstruction method based on local...
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11/28/2017
