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Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features.

, , , , , , and . ICPR, page 4080-4083. IEEE Computer Society, (2000)

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Error Metrics for Quantitative Evaluation of Medical Image Segmentation., , , and . Theoretical Foundations of Computer Vision, volume 17 of Computational Imaging and Vision, page 275-284. Kluwer / Springer, (1998)Three-dimensional appearance for hippocampus segmentation from MRI., , , , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)Image fusion using geometrical features., , , and . VBC, volume 1808 of SPIE Proceedings, SPIE, (1992)Probabilistic multiscale image segmentation: set-up and first results (Proceedings Only)., , and . VBC, volume 1808 of SPIE Proceedings, SPIE, (1992)Nonlinear scale-space., , , , and . Image Vis. Comput., 13 (4): 279-294 (1995)A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography., , , , , and . IEEE Trans. Med. Imaging, 38 (7): 1588-1598 (2019)Construction and evaluation of an average CT brain image for inter-subject registration., , , , and . Comput. Biol. Medicine, 34 (8): 647-662 (2004)Automatic detection and segmentation of ischemic lesions in computed tomography images of stroke patients., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 867013. SPIE, (2013)Image Registration by Maximization of Combined Mutual Information and Gradient Information., , and . IEEE Trans. Med. Imaging, 19 (8): 809-814 (2000)Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis., , , , , , , and . CoRR, (2019)