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Disambiguation of "Jog, Amod"

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Random forest regression for magnetic resonance image synthesis.

, , , , and . Medical Image Analysis, (2017)

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Other publications of authors with the same name

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans., , , , , , , , , and 20 other author(s). Comput. Intell. Neurosci., (2015)Improving magnetic resonance resolution with supervised learning., , and . ISBI, page 987-990. IEEE, (2014)Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI., , , and . ISBI, page 1079-1082. IEEE, (2014)A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis., , , , and . SASHIMI@MICCAI, volume 10557 of Lecture Notes in Computer Science, page 33-40. Springer, (2017)Towards validation of robotic surgery training assessment across training platforms., , , , , , , and . IROS, page 2539-2544. IEEE, (2011)Towards integrating task information in skills assessment for dexterous tasks in surgery and simulation., , , , , , and . ICRA, page 5273-5278. IEEE, (2011)Longitudinal multiple sclerosis lesion segmentation: Resource and challenge., , , , , , , , , and 11 other author(s). NeuroImage, (2017)Self Super-Resolution for Magnetic Resonance Images., , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 553-560. (2016)Improving self super resolution in magnetic resonance images., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 1057814. SPIE, (2018)Multi-output decision trees for lesion segmentation in multiple sclerosis., , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94131C. SPIE, (2015)