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Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning.

, , , , , and . ISBI Workshops, page 1-4. IEEE, (2020)

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CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation., , , , and . CoRR, (2023)Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data., , , , , , and . CoRR, (2019)Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules., , , and . BIBM, page 442-445. IEEE, (2020)Learning to Distill Global Representation for Sparse-View CT., , , , and . ICCV, page 21139-21150. IEEE, (2023)Cross-Head Supervision for Crowd Counting with Noisy Annotations., , , , and . ICASSP, page 1-5. IEEE, (2023)Fan-Net: Fourier-Based Adaptive Normalization for Cross-Domain Stroke Lesion Segmentation., , and . ICASSP, page 1-5. IEEE, (2023)M3NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising., , , , , , , and . IEEE Trans. Medical Imaging, 42 (3): 850-863 (March 2023)Look Globally, Age Locally: Face Aging With an Attention Mechanism., , , and . ICASSP, page 1963-1967. IEEE, (2020)CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction., , , , and . MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 403-412. Springer, (2023)Stabilizing Deep Tomographic Reconstruction Networks., , , , , , , , , and . (August 2020)