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Left Ventricular Segmentation in MR Using Hierarchical Multi-class Multi-feature Fuzzy Connectedness.

, , , , and . MICCAI (1), volume 3216 of Lecture Notes in Computer Science, page 402-410. Springer, (2004)

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Task Assignment in a Virtualized GPU Enabled Cloud., , and . HPCS, page 895-900. IEEE, (2018)Aorta segmentation in non-contrast cardiac CT images using an entropy-based cost function., , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76233J. SPIE, (2010)Machine Learning Using Virtualized GPUs in Cloud Environments., , and . ISC Workshops, volume 10524 of Lecture Notes in Computer Science, page 591-604. Springer, (2017)An Automation Framework for Benchmarking and Optimizing Performance of Remote Desktops in the Cloud., , , , , and . HPCS, page 745-752. IEEE, (2017)Automated left ventricular segmentation in cardiac MRI., , , , and . IEEE Trans. Biomed. Eng., 53 (7): 1425-1428 (2006)3D dense local point descriptors for mouse brain gene expression images., , and . Comput. Medical Imaging Graph., 38 (5): 326-336 (2014)Knowledge-based quantification of pericardial fat in non-contrast CT data., , , , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76231X. SPIE, (2010)Simmer: Rate proportional scheduling to reduce packet drops in vGPU based NF chains., , , , , , and . ICPP, page 44:1-44:11. ACM, (2022)Adaptive Fuzzy Connectedness-Based Medical Image Segmentation., , and . ICVGIP, Allied Publishers Private Limited, (2002)TECN: Task Selection and Placement in GPU Enabled Clouds Using Neural Networks., , and . HPCS, page 890-896. IEEE, (2019)