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Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency.

, , , , , , , , , and . MLCN@MICCAI, volume 13596 of Lecture Notes in Computer Science, page 83-92. Springer, (2022)

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Sparse Image Reconstruction on the Sphere: Implications of a New Sampling Theorem., , , , , and . IEEE Trans. Image Processing, 22 (6): 2275-2285 (2013)Harmonic Active Contours., , , and . IEEE Trans. Image Processing, 23 (1): 69-82 (2014)Matching pursuit-based shape representation and recognition using scale-space., , and . Int. J. Imaging Systems and Technology, 16 (5): 162-180 (2006)Single-FPGA, scalable, low-power, and high-quality 3D ultrasound beamformer., , , , , , and . FPL, page 1-2. IEEE, (2016)CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging., , , , and . CoRR, (2020)Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning., , , and . CoRR, (2020)Sampling theorems and compressive sensing on the sphere, , , , , and . CoRR, (2011)Implications for compressed sensing of a new sampling theorem on the sphere, , , , , and . CoRR, (2011)Learning Global Brain Microstructure Maps Using Trainable Sparse Encoders., , , , and . ICIP, page 2926-2930. IEEE, (2019)Comparing connectomes across subjects and populations at different scales., , , , , and . NeuroImage, (2013)