Dr. Rafael B. Fricks Profile

Dr. Rafael B. Fricks

at Dept of Veterans Affairs

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Publications (7)

Proceedings Article | 3 April 2024 Presentation + Paper

Investigating melanoma classification in dermatoscopic images with convolutional neural networks using melanin and erythema indices

Alexey Kotlik, Nhan Do, Gil Alterovitz, Rafael Fricks

Proceedings Volume 12927, 129271N (2024) https://doi.org/10.1117/12.3006966

KEYWORDS: RGB color model, Melanoma, Skin, Deep learning, Data modeling, Image classification, Cross validation, Deep convolutional neural networks, Machine learning, Convolutional neural networks, Feature selection

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Proceedings Article | 4 April 2022 Presentation + Paper

Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography

Lavsen Dahal, Fakrul Islam Tushar, Ehsan Abadi, Rafael B. Fricks, Maciej Mazurowski, W. Paul Segars, Ehsan Samei, Joseph Lo

Proceedings Volume 12031, 120310U (2022) https://doi.org/10.1117/12.2612975

KEYWORDS: Data modeling, Chest imaging, Performance modeling, Computer simulations, Lung, Chest, Virtual reality, Radiography, X-ray computed tomography, Image processing

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Proceedings Article | 4 April 2022 Presentation + Paper

Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography

Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, Rafael Fricks, Maciej Mazurowski, W. Paul Segars, Ehsan Samei, Joseph Lo

Proceedings Volume 12033, 1203305 (2022) https://doi.org/10.1117/12.2613010

KEYWORDS: Data modeling, Computed tomography, Computer simulations, Performance modeling, 3D modeling, Artificial intelligence, Process modeling, Virtual reality, Lung, Device simulation

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SPIE Journal Paper | 1 December 2021 Open Access

Deep learning classification of COVID-19 in chest radiographs: performance and influence of supplemental training

Rafael Fricks, Francesco Ria, Hamid Chalian, Pegah Khoshpouri, Ehsan Abadi, Lorenzo Bianchi, William Segars, Ehsan Samei

JMI, Vol. 8, Issue 06, 064501, (December 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.6.064501

KEYWORDS: Chest imaging, Radiography, Performance modeling, Databases, Lung, Image classification, Data modeling, COVID 19, Education and training, Deep learning

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

A probabilistic conditional adversarial neural network to reduce imaging variation in radiography

Mojtaba Zarei, Ehsan Abadi, Rafael Fricks, W. Paul Segars, Ehsan Samei

Proceedings Volume 11595, 115953Y (2021) https://doi.org/10.1117/12.2582336

KEYWORDS: Radiography, Neural networks, Diagnostics, Visualization, Visual analytics, Imaging systems, Systems modeling, Medical imaging, Instrument modeling, Image processing

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Proceedings Article | 15 February 2021 Presentation + Paper

Classification of COVID-19 in chest radiographs: assessing the impact of imaging parameters using clinical and simulated images

Rafael Fricks, Ehsan Abadi, Francesco Ria, Ehsan Samei

Proceedings Volume 11597, 115970A (2021) https://doi.org/10.1117/12.2582223

KEYWORDS: Image classification, Chest imaging, Machine learning, Imaging systems, Computer simulations, X-rays, X-ray imaging, Visualization, Receivers, Radiography

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Proceedings Article | 16 March 2020 Paper

Automatic phantom test pattern classification through transfer learning with deep neural networks

Rafael Fricks, Justin Solomon, Ehsan Samei

Proceedings Volume 11312, 113122Q (2020) https://doi.org/10.1117/12.2549366

KEYWORDS: Computed tomography, Image classification, Data modeling, Statistical modeling, Neural networks, Imaging systems, Machine learning, Image quality, Convolutional neural networks, GPU based image processing

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Showing 5 of 7 publications

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