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Automated 3D cephalometric landmark identification using computerized tomography
This paper presents a semi-supervised DL method for 3D landmarking that takes advantage of anonymized landmark dataset with paired CT data being removed.
Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Recently, with the significant developments in deep learning techniques, solving underdetermined inverse problems has become one of the major concerns in the medical imaging domain.
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