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09/21/2023
OSNet MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios
Recently, linear computed tomography (LCT) systems have actively attract...
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05/30/2023
BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction
Micro-computed tomography (micro-CT) is a widely used state-of-the-art i...
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04/16/2023
The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning
Background: Tumor segmentation in MRI is crucial in radiotherapy (RT) tr...
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12/22/2021
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
Brain metastases occur frequently in patients with metastatic cancer. Ea...
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08/25/2021
Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery
Fiducial markers are commonly used in navigation assisted minimally inva...
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11/04/2019
Superpixel-Based Background Recovery from Multiple Images
In this paper, we propose an intuitive method to recover background from...
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11/04/2019
Field of View Extension in Computed Tomography Using Deep Learning Prior
In computed tomography (CT), data truncation is a common problem. Images...
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08/19/2019
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Robustness of deep learning methods for limited angle tomography is chal...
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12/19/2017
Scale-Space Anisotropic Total Variation for Limited Angle Tomography
This paper addresses streak reduction in limited angle tomography. Altho...
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01/03/2017