Dr. Barath Narayanan Profile

Dr. Barath Narayanan

Research Scientist

SPIE Involvement:

Conference Chair | Editor | Author

Proceedings Article | 20 August 2020 Presentation + Paper

Automated material identification and segmentation using deep learning for laser powder bed fusion

Barath Narayanan Narayanan, Kelly Beigh, Solomon Duning, Dathan Erdahl

Proceedings Volume 11511, 115110P (2020) https://doi.org/10.1117/12.2567007

KEYWORDS: Machine learning, Additive manufacturing, Data visualization, Image segmentation, Manufacturing, Image classification, Sensors, Principal component analysis, Edge detection

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Proceedings Article | 20 August 2020 Presentation + Paper

Video captioning using weakly supervised convolutional neural networks

Dylan Flaute, Barath Narayanan Narayanan

Proceedings Volume 11511, 1151106 (2020) https://doi.org/10.1117/12.2568016

KEYWORDS: Video, Transformers, Video processing, Convolutional neural networks, Computer programming

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SPIE Journal Paper | 23 June 2020

Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy

Barath Narayanan Narayanan, Russell Hardie, Manawaduge Supun De Silva, Nathaniel Kueterman

JMI, Vol. 7, Issue 03, 034501, (June 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.3.034501

KEYWORDS: Machine learning, Principal component analysis, Detection and tracking algorithms, Feature extraction, Computing systems, Network architectures, Data modeling, Convolutional neural networks, Visual process modeling, Image processing

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Proceedings Article | 2 March 2020 Paper

Two-stage deep learning architecture for pneumonia detection and its diagnosis in chest radiographs

Barath Narayanan Narayanan, Venkata Salini Priyamvada Davuluru, Russell Hardie

Proceedings Volume 11318, 113180G (2020) https://doi.org/10.1117/12.2547635

KEYWORDS: Lung, Chest imaging, Computer aided diagnosis and therapy, Computer aided design, Medical imaging, Convolutional neural networks, Machine learning

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Proceedings Article | 6 September 2019 Paper

Support vector machine and convolutional neural network based approaches for defect detection in fused filament fabrication

Barath Narayanan Narayanan, Kelly Beigh, Gregory Loughnane, Nilesh Powar

Proceedings Volume 11139, 1113913 (2019) https://doi.org/10.1117/12.2524915

KEYWORDS: Principal component analysis, Defect detection, Convolutional neural networks, Polymers, Additive manufacturing, Machine learning, Image classification, 3D printing

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Proceedings Article | 6 September 2019 Paper

Automated quantification of DNA damage via deep transfer learning based analysis of comet assay images

Srikanth Namuduri, Barath Narayanan Narayanan, Mahsa Karbaschi, Marcus Cooke, Shekhar Bhansali

Proceedings Volume 11139, 111390Y (2019) https://doi.org/10.1117/12.2529352

KEYWORDS: Comets, Neural networks, Machine learning, Data modeling, Error analysis, Network architectures, Analytical research, Head, Convolutional neural networks, Image classification

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Proceedings Article | 6 September 2019 Paper

Performance analysis of machine learning and deep learning architectures for malaria detection on cell images

Barath Narayanan Narayanan, Redha Ali, Russell Hardie

Proceedings Volume 11139, 111390W (2019) https://doi.org/10.1117/12.2524681

KEYWORDS: Computer aided diagnosis and therapy, Image classification, Machine learning, Convolutional neural networks, Medical imaging

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SPIE Journal Paper | 19 February 2018 Open Access

Performance analysis of a computer-aided detection system for lung nodules in CT at different slice thicknesses

Barath Narayanan Narayanan, Russell Craig Hardie, Temesguen Messay Kebede

JMI, Vol. 5, Issue 01, 014504, (February 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.014504

KEYWORDS: Lung, Computed tomography, Computer aided diagnosis and therapy, CAD systems, Computer aided design, Computing systems, Computer simulations, Sensors, Lung cancer

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