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A Deep Learning Approach to Horse Bone Segmentation from Digitally Reconstructed Radiographs.

, , , , and . IPTA, page 1-6. IEEE, (2019)

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Adaptive anisotropic noise filtering for magnitude MR data., , , , and . Medical Imaging: Image Processing, volume 3661 of SPIE Proceedings, SPIE, (1999)To recurse or not to recurse: a low-dose CT study., , , , and . Prog. Artif. Intell., 10 (1): 65-81 (2021)Outlier Detection for Foot Complaint Diagnosis: Modeling Confounding Factors Using Metric Learning., , and . IEEE Intell. Syst., 36 (3): 41-49 (2021)Delta-MRI: Direct Deformation Estimation from Longitudinally Acquired K-Space Data., , , , , and . ISBI, page 1-4. IEEE, (2023)The evaluation of a population based diffusion tensor image atlas using a ground truth method., , , , , , and . Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 69140B. SPIE, (2008)Non-rigid coregistration of diffusion kurtosis data., , , , , and . ISBI, page 392-395. IEEE, (2010)Threshold Selection for Segmentation of Dense Objects in Tomograms., , and . ISVC (1), volume 5358 of Lecture Notes in Computer Science, page 700-709. Springer, (2008)CNN-based Pose Estimation of Manufactured Objects During Inline X-ray Inspection., , , , and . RTSI, page 388-393. IEEE, (2021)Enhancing Industrial Inspection with Efficient Edge Illumination X-Ray Phase Contrast Simulations., , , and . EUROCON, page 723-727. IEEE, (2023)Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates., , , and . J. Electronic Imaging, 22 (4): 041111 (2013)