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An Automatic Encoding and Decoding Method for Differentiating Alzheimer's Disease with Functional MRI.

, , , , and . ICCAI, page 252-256. ACM, (2020)

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NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation., , , , and . CoRR, (2023)Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation., , , , , and . CoRR, (2022)Analysis on Impact of Frequency Diverse Array Channel Errors on Beam Forming., , and . CSPS, volume 463 of Lecture Notes in Electrical Engineering, page 714-721. Springer, (2017)Joint Learning Annotator Calibration and Annotator Preference for Multiple Annotations Optic Disc and Cup Segmentation., , , , and . ISBI, page 1-5. IEEE, (2023)Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation., , , , , , and . BIBM, page 977-984. IEEE, (2022)DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features., , , and . CoRR, (2023)A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation., , , , and . CoRR, (2023)Frequency Diverse Array Radar Beamforming Algorithm Based on FFT., , and . CSPS, volume 463 of Lecture Notes in Electrical Engineering, page 1125-1132. Springer, (2017)Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net., , , , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 570-577. Springer, (2021)Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation., , , , , , , and . ISBI, page 1-5. IEEE, (2023)