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Publications by Maged Nasan
FCN Based Approach for the Automatic Segmentation of Bone Surfaces in Ultrasound Images
Related publications
Automatic Detection and Segmentation of Renal Lesions in 3D Contrast-Enhanced Ultrasound Images
Automatic Segmentation of Biomedical Images
Integration of Spatial Information in Convolutional Neural Networks for Automatic Segmentation of Intraoperative Transrectal Ultrasound Images
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Automatic Phase Segmentation of Spectrum Images
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Improve Accuracy for Automatic Acetabulum Segmentation in CT Images
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Automatic Segmentation of Right Ventricular Ultrasound Images Using Sparse Matrix Transform and a Level Set
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Steerable Semi-Automatic Segmentation of Textured Images
Lecture Notes in Computer Science
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Automatic Atlas-Based Three-Label Cartilage Segmentation From MR Knee Images
Automatic Single-Organ Segmentation in Computed Tomography Images
Proceedings - IEEE International Conference on Data Mining, ICDM
Engineering
