Prof. Mark McDonald Profile

Prof. Mark McDonald

at Emory Univ

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Author

Publications (8)

Proceedings Article | 4 April 2022 Poster + Paper

Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy

Yabo Fu, Yang Lei, Zhen Tian, Tonghe Wang, Xianjin Dai, Jun Zhou, Mark McDonald, Jeffrey Bradley, Tian Liu, Xiaofeng Yang

Proceedings Volume 12033, 1203321 (2022) https://doi.org/10.1117/12.2611901

KEYWORDS: Computed tomography, Image registration, Radiotherapy, Cancer, Oncology, Image processing, Tumors, Optimization (mathematics), Transformers, Target acquisition

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Proceedings Article | 4 April 2022 Presentation + Paper

CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation

Shaoyan Pan, Zhen Tian, Yang Lei, Tonghe Wang, Jun Zhou, Mark McDonald, Jeffrey Bradley, Tian Liu, Xiaofeng Yang

Proceedings Volume 12033, 120333L (2022) https://doi.org/10.1117/12.2611540

KEYWORDS: Head, Image segmentation, Neck, Optic nerve, Transformers, Computer programming, Visual process modeling, Radiotherapy, Computed tomography, Cancer

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Proceedings Article | 4 April 2022 Presentation + Paper

Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy

Xianjin Dai, Yang Lei, Tonghe Wang, Zhen Tian, Jun Zhou, Mark McDonald, David Yu, Beth Ghavidel, Jeffrey Bradley, Tian Liu, Xiaofeng Yang

Proceedings Volume 12034, 120341E (2022) https://doi.org/10.1117/12.2613060

KEYWORDS: Computed tomography, Radiotherapy, Image segmentation, Cancer, Head, Tumors, Sensors, Oncology, Neck, Data modeling

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Proceedings Article | 15 February 2021 Poster + Paper

Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT

Xianjin Dai, Yang Lei, Tonghe Wang, Jun Zhou, Justin Roper, Mark McDonald, Jonathan Beitler, Walter Curran, Tian Liu, Xiaofeng Yang

Proceedings Volume 11600, 116001M (2021) https://doi.org/10.1117/12.2581126

KEYWORDS: Convolutional neural networks, Computed tomography, Image segmentation, Radiotherapy, Magnetic resonance imaging, Tumors, Cancer

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Proceedings Article | 15 February 2021 Poster + Paper

Synthetic dual energy CT imaging from single energy CT using deep attention neural network

Tonghe Wang, Serdar Charyyev, Yang Lei, Beth Ghavidel, Jonathan Beitler, Mark McDonald, Walter Curran, Jun Zhou, Tian Liu, Xiaofeng Yang

Proceedings Volume 11595, 1159547 (2021) https://doi.org/10.1117/12.2580966

KEYWORDS: Computed tomography, Dual energy imaging, Neural networks, Target acquisition, Image processing, Cancer

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Proceedings Article | 15 February 2021 Poster + Paper

Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks

Tonghe Wang, Yang Lei, Mark McDonald, Jonathan Beitler, Walter Curran, Tian Liu, Xiaofeng Yang

Proceedings Volume 11596, 115961Y (2021) https://doi.org/10.1117/12.2580964

KEYWORDS: Image segmentation, Neural networks, Neck, Head, Computed tomography, Tumor growth modeling, Radiotherapy, Feature extraction, Dual energy imaging, Convolutional neural networks

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Proceedings Article | 16 March 2020 Paper

Deep learning-based relative stopping power mapping generation with cone-beam CT in proton radiation therapy

Tonghe Wang, Joseph Harms, Yang Lei, Beth Ghavidel, William Stokes, Tian Liu, Walter Curran, Mark McDonald, Jun Zhou, Xiaofeng Yang

Proceedings Volume 11312, 113124L (2020) https://doi.org/10.1117/12.2549275

KEYWORDS: Computed tomography, Radiotherapy, Therapeutics, Cancer, Tissues, Calibration, Medical physics, Monte Carlo methods, Image quality, Image fusion

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Proceedings Article | 10 March 2020 Paper

Multi-organ segmentation in head and neck MRI using U-Faster-RCNN

Yang Lei, Jun Zhou, Xue Dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter Curran, Tian Liu, Xiaofeng Yang

Proceedings Volume 11313, 113133A (2020) https://doi.org/10.1117/12.2549596

KEYWORDS: Image segmentation, Magnetic resonance imaging, Cancer, Tumors, Head, Neck, Computed tomography, 3D image processing, Tissues, Radiotherapy

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Showing 5 of 8 publications

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