Ms. Kayla R. Robinson Profile

Kayla R. Robinson

Doctoral Candidate

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Author

Publications (9)

Proceedings Article | 13 March 2019 Paper

Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment

Kayla Mendel, Hui Li, Nabihah Tayob, Randa El-Zein, Isabelle Bedrosian, Maryellen Giger

Proceedings Volume 10950, 1095041 (2019) https://doi.org/10.1117/12.2512792

KEYWORDS: Image registration, Mammography, Breast, Cancer, Breast cancer, Tissues, Error analysis, Image segmentation, Image processing, Image resolution

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SPIE Journal Paper | 4 December 2018 Open Access

Variation in algorithm implementation across radiomics software

Joseph Foy, Kayla Robinson, Hui Li, Maryellen Giger, Hania Al-Hallaq, Samuel Armato

JMI, Vol. 5, Issue 04, 044505, (December 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.4.044505

KEYWORDS: Mammography, Computed tomography, Photovoltaics, Medical imaging, Feature extraction, Image segmentation, Nomenclature, Image processing, Image analysis, Analytical research

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Proceedings Article | 6 July 2018 Paper

Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma

Hui Li, Deepa Sheth, Kayla Mendel, Li Lan, Maryellen Giger

Proceedings Volume 10718, 1071806 (2018) https://doi.org/10.1117/12.2318282

KEYWORDS: Tumors, Computer aided diagnosis and therapy, Breast, Feature extraction, Breast cancer, Mammography, Statistical analysis, Medical imaging, Image classification

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Proceedings Article | 27 February 2018 Presentation + Paper

Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis

Kayla Mendel, Hui Li, Deepa Sheth, Maryellen Giger

Proceedings Volume 10575, 105750T (2018) https://doi.org/10.1117/12.2294973

KEYWORDS: Digital breast tomosynthesis, Breast, Convolutional neural networks, Computer aided diagnosis and therapy, Feature extraction, Breast cancer, Digital mammography, Image classification, Databases

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Proceedings Article | 27 February 2018 Presentation + Paper

Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs

Hui Li, Kayla Mendel, John Lee, Li Lan, Maryellen Giger

Proceedings Volume 10575, 105750S (2018) https://doi.org/10.1117/12.2294536

KEYWORDS: Breast cancer, Convolutional neural networks, Medical imaging, Feature extraction

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Proceedings Article | 27 February 2018 Presentation + Paper

Variations in algorithm implementation among quantitative texture analysis software packages

Joseph Foy, Prerana Mitta, Lauren Nowosatka, Kayla Mendel, Hui Li, Maryellen Giger, Hania Al-Hallaq, Samuel Armato

Proceedings Volume 10575, 105751K (2018) https://doi.org/10.1117/12.2292573

KEYWORDS: Image acquisition, Breast, Magnetic resonance imaging, Statistical analysis, Analytical research, Feature extraction, Medical imaging, Computer aided diagnosis and therapy, Quantitative analysis

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Proceedings Article | 27 February 2018 Paper

Temporal assessment of radiomic features on clinical mammography in a high-risk population

Kayla Mendel, Hui Li, Li Lan, Chun-Wai Chan, Lauren King, Nabihah Tayob, Gary Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen Giger

Proceedings Volume 10575, 105753Q (2018) https://doi.org/10.1117/12.2293368

KEYWORDS: Cancer, Mammography, Breast, Feature extraction, Breast cancer, Control systems, Medical imaging, Biopsy, Image classification, Tissues

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SPIE Journal Paper | 19 September 2017

Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers’ systems

Kayla Mendel, Hui Li, Li Lan, Cathleen Cahill, Victoria Rael, Hiroyuki Abe, Maryellen Giger

JMI, Vol. 5, Issue 01, 011002, (September 2017) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.011002

KEYWORDS: Manufacturing, Mammography, Digital mammography, Feature extraction, Breast, Image processing, Imaging systems, Fractal analysis, Lithium, Breast cancer

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Proceedings Article | 24 March 2016 Paper

Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations

Kayla Mendel, Hui Li, Maryellen Giger

Proceedings Volume 9785, 97851W (2016) https://doi.org/10.1117/12.2217775

KEYWORDS: Breast, Tissues, Image segmentation, Magnetic resonance imaging, Breast cancer, Medicine, Mammography, 3D image processing, 3D displays, Cancer, Fuzzy logic

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Showing 5 of 9 publications

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