Dr. Zhe Zhu Profile

Dr. Zhe Zhu

Senior Research Associate at Duke Univ

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Publications (6)

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Deep neural networks trained for segmentation are sensitive to brightness changes: preliminary results

Zhe Zhu, Mustafa Bashir, Maciej Mazurowski

Proceedings Volume 11597, 1159729 (2021) https://doi.org/10.1117/12.2582190

KEYWORDS: Neural networks, Image segmentation, Magnetic resonance imaging, Shape analysis, Medical imaging, Manufacturing equipment, Manufacturing, Instrument modeling, Computed tomography

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Proceedings Article | 27 February 2018 Paper

Breast cancer molecular subtype classification using deep features: preliminary results

Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael Harowicz, Maciej Mazurowski

Proceedings Volume 10575, 105752X (2018) https://doi.org/10.1117/12.2295471

KEYWORDS: Breast cancer, Magnetic resonance imaging, Neural networks, Feature extraction, Medical imaging, Convolution, Genomics, Breast, Performance modeling, Image segmentation

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Proceedings Article | 27 February 2018 Presentation + Paper

Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression

Jun Zhang, Elizabeth Hope Cain, Ashirbani Saha, Zhe Zhu, Maciej Mazurowski

Proceedings Volume 10575, 1057525 (2018) https://doi.org/10.1117/12.2295443

KEYWORDS: Mammography, Breast, Data modeling, Digital breast tomosynthesis, Performance modeling, Breast cancer, Feature extraction, Tumor growth modeling, Tumors, Network architectures

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Proceedings Article | 27 February 2018 Paper

Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis

Jun Zhang, Sujata Ghate, Lars Grimm, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej Mazurowski

Proceedings Volume 10575, 105752V (2018) https://doi.org/10.1117/12.2295437

KEYWORDS: Image segmentation, Breast, Digital breast tomosynthesis, Computer programming, Data modeling, Tissues, Feature extraction, Convolution, Biopsy

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Proceedings Article | 27 February 2018 Paper

Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data

Zhe Zhu, Michael Harowicz, Jun Zhang, Ashirbani Saha, Lars Grimm, Shelley Hwang, Maciej Mazurowski

Proceedings Volume 10575, 105752W (2018) https://doi.org/10.1117/12.2295470

KEYWORDS: Magnetic resonance imaging, Medical imaging, Data modeling, Tumor growth modeling, Convolution, Breast, Neural networks, Cancer, Spatial resolution, Feature extraction

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Proceedings Article | 27 February 2018 Presentation + Paper

Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics

Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej Mazurowski

Proceedings Volume 10575, 105750U (2018) https://doi.org/10.1117/12.2295436

KEYWORDS: Tumors, Image segmentation, Breast, Magnetic resonance imaging, Biopsy, Feature extraction, Breast cancer, Cancer, Detector development

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Showing 5 of 6 publications

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