Dr. Pang-Yu Teng Profile

Dr. Pang-Yu Teng

at Univ of California Los Angeles

SPIE Involvement:

Author | Science Fair Judge

Publications (7)

SPIE Journal Paper | 29 May 2024

Quantifying lung fissure integrity using a three-dimensional patch-based convolutional neural network on CT images for emphysema treatment planning

Dallas K. Tada, Pangyu Teng, Kalyani Vyapari, Ashley Banola, George Foster, Esteban Diaz, Grace Hyun J. Kim, Jonathan G. Goldin, Fereidoun Abtin, Michael McNitt-Gray, Matthew S. Brown

JMI, Vol. 11, Issue 03, 034502, (May 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.3.034502

KEYWORDS: Lung, Image segmentation, Voxels, Education and training, Radio over Fiber, Computed tomography, Emphysema, 3D image processing, Visualization, Chronic obstructive pulmonary disease

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Proceedings Article | 3 April 2024 Presentation + Paper

Predicting endobronchial valve treatment response in emphysema patients using the lung fissure integrity score extracted from chest CT scans

Dallas Tada, Grace Kim, Pangyu Teng, Kalyani Vyapari, Ashley Banola, Fereidoun Abtin, Jonathan Goldin, Michael McNitt-Gray, Matthew Brown

Proceedings Volume 12927, 129270M (2024) https://doi.org/10.1117/12.3008764

KEYWORDS: Computed tomography, Lung, Emphysema, Image segmentation, Education and training, Chest, Voxels, Radio over Fiber, Deep learning, Data modeling

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Proceedings Article | 7 April 2023 Presentation + Paper

3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment

Dallas Tada, Pangyu Teng, Michael McNitt-Gray, Grace Kim, Matthew Brown, Jonathan Goldin, Kalyani Vyapari, Ashley Banola

Proceedings Volume 12465, 124651F (2023) https://doi.org/10.1117/12.2653698

KEYWORDS: Image segmentation, Computed tomography, Lung, Voxels, Education and training, Emphysema, 3D image processing, 3D modeling, Deep learning

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Proceedings Article | 3 April 2023 Poster + Paper

Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy

Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, Muhammad Wahi-Anwar, Steve Raman, Matthew Brown

Proceedings Volume 12464, 124642J (2023) https://doi.org/10.1117/12.2654038

KEYWORDS: Image segmentation, Kidney, Image contrast enhancement, Computed tomography, Visualization, Tumors, Medical imaging, Image quality

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images

Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan Goldin, Pangyu Teng, Grace Hyun Kim

Proceedings Volume 11597, 115971Y (2021) https://doi.org/10.1117/12.2579735

KEYWORDS: Systems modeling, Pulmonary fibrosis, Performance modeling, Receivers, Lung, Diagnostics, Computed tomography

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SPIE Journal Paper | 20 March 2020

High throughput image labeling on chest computed tomography by deep learning

Xiaoyong Wang, Pangyu Teng, Ashley Ontiveros, Jonathan Goldin, Matthew Brown

JMI, Vol. 7, Issue 02, 024501, (March 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.2.024501

KEYWORDS: Lung, Image segmentation, Chest, Computed tomography, Aorta, Clinical trials, Image classification, Image processing, Lung cancer, Scanners

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Proceedings Article | 13 March 2009 Paper

Computer-aided method for automated selection of optimal imaging plane for measurement of total cerebral blood flow by MRI

Pang-yu Teng, Ahmet Murat Bagci, Noam Alperin

Proceedings Volume 7261, 72613C (2009) https://doi.org/10.1117/12.813819

KEYWORDS: Image segmentation, Magnetic resonance imaging, Cerebral blood flow, Arteries, Blood, Independent component analysis, Phase contrast, Brain, Imaging systems, Error analysis

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Showing 5 of 7 publications

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