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06/27/2023
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
Emerging neural reconstruction techniques based on tomography (e.g., NeR...
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06/18/2023
RetinexFlow for CT metal artifact reduction
Metal artifacts is a major challenge in computed tomography (CT) imaging...
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11/03/2022
Active CT Reconstruction with a Learned Sampling Policy
Computed tomography (CT) is a widely-used imaging technology that assist...
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06/02/2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, the latest technological advance of deep learning, has gain...
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03/04/2022
3D endoscopic depth estimation using 3D surface-aware constraints
Robotic-assisted surgery allows surgeons to conduct precise surgical ope...
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03/04/2022
Universal Segmentation of 33 Anatomies
In the paper, we present an approach for learning a single model that un...
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11/21/2021
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
While Computed Tomography (CT) reconstruction from X-ray sinograms is ne...
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05/31/2021
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Spine-related diseases have high morbidity and cause a huge burden of so...
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03/09/2021
Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation
Computed tomography (CT) reconstruction from X-ray projections acquired ...
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02/26/2021
Recursive Training for Zero-Shot Semantic Segmentation
General purpose semantic segmentation relies on a backbone CNN network t...
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01/02/2020
First image then video: A two-stage network for spatiotemporal video denoising
Video denoising is to remove noise from noise-corrupted data, thus recov...
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05/15/2019
Measuring Bayesian Robustness Using Rényi's Divergence and Relationship with Prior-Data Conflict
This paper deals with measuring the Bayesian robustness of classes of co...
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02/19/2019
