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Found 10 papers, 5 papers with code
Prompted Contextual Transformer for Incomplete-View CT Reconstruction
To enjoy the multi-setting synergy in a single model, we propose a novel Prompted Contextual Transformer (ProCT) for incomplete-view CT reconstruction.
Prompt-In-Prompt Learning for Universal Image Restoration
Second, we devise a novel prompt-to-prompt interaction module to fuse these two prompts into a universal restoration prompt.
Learning to Distill Global Representation for Sparse-View CT
The reconstructed images, however, suffer from strong artifacts, greatly limiting their diagnostic value.
YOLOrtho -- A Unified Framework for Teeth Enumeration and Dental Disease Detection
To fill the gap, we develop YOLOrtho, a unified framework for teeth enumeration and dental disease detection.
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition
On one hand, our contrastive emotion decoupling achieves decoupling learning via a contrastive decoupling loss to strengthen the separability of emotion-relevant features from corpus-specific ones.
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
Specifically, we first propose a frequency-band-aware artifact modeling network (FreeNet), which learns artifact-related frequency-band attention in Fourier domain for better modeling the globally distributed streak artifact on the sparse-view CT images.
OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization
We design a multi-modal encoder-decoder based generative model to synthesize identity-preserving frontal facial images with aligned teeth.
An evaluation of U-Net in Renal Structure Segmentation
Renal structure segmentation from computed tomography angiography~(CTA) is essential for many computer-assisted renal cancer treatment applications.
