Dr. Christopher M. Haggerty Profile

Dr. Christopher M. Haggerty

at Geisinger Health

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Author

Publications (5)

Proceedings Article | 3 April 2023 Presentation + Paper

Co-Unet-GAN: a co-learning domain adaptation model on echocardiography segmentation

Junyang Cai, Christopher Haggerty, Joshua Stough

Proceedings Volume 12464, 124641B (2023) https://doi.org/10.1117/12.2652621

KEYWORDS: Image segmentation, Education and training, Data modeling, Performance modeling, Gallium nitride, Echocardiography, Medical imaging, Image restoration, Machine learning, Process modeling

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Proceedings Article | 4 April 2022 Presentation + Paper

Fully automated multi-heartbeat echocardiography video segmentation and motion tracking

Yida Chen, Xiaoyan Zhang, Christopher Haggerty, Joshua Stough

Proceedings Volume 12032, 120320R (2022) https://doi.org/10.1117/12.2607871

KEYWORDS: Video, Echocardiography, Image segmentation, Heart, Motion analysis, Convolution, Feature extraction

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Proceedings Article | 15 February 2021 Presentation + Paper

Assessing the generalizability of temporally coherent echocardiography video segmentation

Yida Chen, Xiaoyan Zhang, Christopher Haggerty, Joshua Stough

Proceedings Volume 11596, 115961O (2021) https://doi.org/10.1117/12.2580874

KEYWORDS: Video, Echocardiography, Heart, Temporal coherence, Reliability, Data modeling

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Proceedings Article | 10 March 2020 Presentation + Paper

Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks

Joshua Stough, Sushravya Raghunath, Xiaoyan Zhang, John Pfeifer, Brandon Fornwalt, Christopher Haggerty

Proceedings Volume 11313, 113130A (2020) https://doi.org/10.1117/12.2547375

KEYWORDS: Echocardiography, Image segmentation, Convolutional neural networks, Computer programming, Transducers, Heart, Image quality, Binary data, Computer science, Machine learning

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Proceedings Article | 12 March 2018 Paper

Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks

Joshua Stough, Joseph DiPalma, Zilin Ma, Brandon Fornwalt, Christopher Haggerty

Proceedings Volume 10578, 1057826 (2018) https://doi.org/10.1117/12.2291534

KEYWORDS: Cardiovascular magnetic resonance imaging, Image segmentation, Convolutional neural networks, Heart, Neural networks, Data modeling, Magnetic resonance imaging, Image processing, Blood, Statistical modeling

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