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02/09/2023
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique
Perfusion imaging is a valuable tool for diagnosing and treatment planni...
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07/20/2022
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging
Model-based reconstruction employing the time separation technique (TST)...
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05/11/2022
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction
In this paper, the Primal-Dual UNet for sparse view CT reconstruction is...
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02/10/2022
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI
Magnetic resonance imaging (MRI) provides high spatial resolution and ex...
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12/26/2021
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
CT and MRI are two widely used clinical imaging modalities for non-invas...
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10/26/2021
Software Implementation of the Krylov Methods Based Reconstruction for the 3D Cone Beam CT Operator
Krylov subspace methods are considered a standard tool to solve large sy...
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10/19/2021
Cutting Voxel Projector a New Approach to Construct 3D Cone Beam CT Operator
In this paper, we introduce a new class of projectors for 3D cone beam t...
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03/16/2021
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data
MRI is an inherently slow process, which leads to long scan time for hig...
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02/04/2021
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
Dynamic imaging is a beneficial tool for interventions to assess physiol...
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06/03/2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
The outbreak of COVID-19 has shocked the entire world with its fairly ra...
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10/10/2019