Mr. Chirag Agarwal Profile

Chirag Agarwal

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Publications (5)

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

CoroNet: a deep network architecture for enhanced identification of COVID-19 from chest x-ray images

Chirag Agarwal, Shahin Khobahi, Dan Schonfeld, Mojtaba Soltanalian

Proceedings Volume 11597, 1159722 (2021) https://doi.org/10.1117/12.2580738

KEYWORDS: Chest imaging, Network architectures, X-rays, Image classification, Artificial intelligence

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Proceedings Article | 2 March 2018 Paper

Multi-class segmentation of neuronal electron microscopy images using deep learning

Nivedita Khobragade, Chirag Agarwal

Proceedings Volume 10574, 105742W (2018) https://doi.org/10.1117/12.2293940

KEYWORDS: Convolutional neural networks, Image segmentation, Electron microscopy, Neurons

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Proceedings Article | 3 March 2017 Presentation + Paper

Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images

Ahmed Dallal, Chirag Agarwal, Mohammad Arbabshirani, Aalpen Patel, Gregory Moore

Proceedings Volume 10134, 101340K (2017) https://doi.org/10.1117/12.2254136

KEYWORDS: X-rays, Chest, Lawrencium, Error analysis, Heart, Lung, Chest imaging, Image segmentation, Data modeling, Image analysis

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Proceedings Article | 24 February 2017 Presentation + Paper

Accurate segmentation of lung fields on chest radiographs using deep convolutional networks

Mohammad Arbabshirani, Ahmed Dallal, Chirag Agarwal, Aalpan Patel, Gregory Moore

Proceedings Volume 10133, 1013305 (2017) https://doi.org/10.1117/12.2254526

KEYWORDS: Deep learning, Convolutional neural networks, Image segmentation, Lung, Chest imaging, Neural networks, Computer-aided diagnosis, Lung cancer, Image classification, Image processing algorithms and systems, Algorithm development, Magnetic resonance imaging

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Proceedings Article | 24 February 2017 Paper

Unsupervised quantification of abdominal fat from CT images using Greedy Snakes

Chirag Agarwal, Ahmed Dallal, Mohammad Arbabshirani, Aalpen Patel, Gregory Moore

Proceedings Volume 10133, 101332T (2017) https://doi.org/10.1117/12.2254139

KEYWORDS: Tissues, Image segmentation, Computed tomography, Pathology, Magnetic resonance imaging, Image processing, Brain-machine interfaces, X-ray computed tomography, Dual energy x-ray absorptiometry, Image processing algorithms and systems

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