Nagaraj Yamanakkanavar

Employment

• Chosun University Assistant Professor
  2020 - Present
• Chosun University Post Doctoral Researcher
  2019 - 2020

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey
  Sensors 2020 229 citations DOI: 10.3390/s20113243
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• Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture
  PLoS ONE 2020 99 citations DOI: 10.1371/journal.pone.0236493
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• Using a Patch-Wise M-Net Convolutional Neural Network for Tissue Segmentation in Brain MRI Images
  IEEE Access 2020 33 citations DOI: 10.1109/ACCESS.2020.3006317
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• Automatic Segmentation of Intima Media Complex in Carotid Ultrasound Images Using Support Vector Machine
  Arabian Journal for Science and Engineering 2019 17 citations DOI: 10.1007/s13369-018-3549-8
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• Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization
  2018 24th National Conference on Communications, NCC 2018 2019 5 citations DOI: 10.1109/NCC.2018.8600240
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• Carotid wall segmentation in longitudinal ultrasound images using structured random forest
  Computers and Electrical Engineering 2018 12 citations DOI: 10.1016/j.compeleceng.2018.02.010
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• Comparison of edge detection algorithms in the framework of despeckling carotid ultrasound images based on bayesian estimation approach
  Communications in Computer and Information Science 2018 2 citations DOI: 10.1007/978-981-13-0020-2_37
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• Segmentation of intima media complex from carotid ultrasound images using wind driven optimization technique
  Biomedical Signal Processing and Control 2018 29 citations DOI: 10.1016/j.bspc.2017.08.009
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• Assessment of speckle denoising in ultrasound carotid images using least square Bayesian estimation approach
  IEEE Region 10 Annual International Conference, Proceedings/TENCON 2017 10 citations DOI: 10.1109/TENCON.2016.7848156
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