Dr. Tiange Liu Profile

Dr. Tiange Liu

at Yanshan Univ

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Author

Publications (7)

Proceedings Article | 3 April 2024 Poster + Paper

Auto-segmentation of hemi-diaphragms in free-breathing pediatric dynamic MRI

Yusuf Akhtar, Jayaram Udupa, Yubing Tong, Caiyun Wu, Tiange Liu, Leihui Tong, Mahdie Hosseini, Mostafa Al-Noury, Joseph Mcdonough, Oscar Mayer, David Biko, Jason Anari, Patrick Cahill, Drew Torigian

Proceedings Volume 12927, 129273C (2024) https://doi.org/10.1117/12.3006279

KEYWORDS: Magnetic resonance imaging, Image segmentation, Voxels, Image resolution, Signal to noise ratio, Signal intensity, Quantitative analysis, Motion blur, Ionizing radiation, Image processing

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Proceedings Article | 2 April 2024 Paper

Anatomic attention regions via optimal anatomy modeling and recognition for DL-based image segmentation

Yadavendra Nln, J. Udupa, D. Odhner, T. Liu, Y. Tong, D. Torigian

Proceedings Volume 12930, 129301T (2024) https://doi.org/10.1117/12.3006771

KEYWORDS: Anatomy, Statistical modeling, Image segmentation, Modeling, Education and training, Data modeling, Medical imaging, Artificial intelligence, Deep learning, Fuzzy logic

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Proceedings Article | 29 March 2024 Presentation + Paper

Optimal strategies for modeling anatomy in a hybrid intelligence framework for auto-segmentation of organs

You Hao, Jayaram Udupa, Yubing Tong, Tiange Liu, Caiyun Wu, Dewey Odhner, Drew Torigian

Proceedings Volume 12928, 1292814 (2024) https://doi.org/10.1117/12.3006617

KEYWORDS: Image segmentation, Modeling, Anatomy, Medical imaging, Fuzzy logic, Artificial intelligence, Education and training, Object recognition, Data modeling, Strategic intelligence

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Proceedings Article | 10 April 2023 Presentation + Paper

A deep-learning-based geographic attention model for body composition tissue segmentation

Jian Dai, Jayaram Udupa, Drew Torigian, Yubing Tong, Pengju Nie, Jing Zhang, Ran Li, Shiwei Han, Tiange Liu

Proceedings Volume 12468, 1246804 (2023) https://doi.org/10.1117/12.2653371

KEYWORDS: Body composition, Tissues, Education and training, Computed tomography, Adipose tissue, Nervous system, Image segmentation, Data modeling, Neural networks, Anatomy

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Proceedings Article | 3 April 2023 Paper

Auto-segmentation of thoracic brachial plexuses for radiation therapy planning

Ademola Ilesanmi, Jayaram Udupa, Yubing Tong, Tiange Liu, Dewey Odhner, Gargi Pednekar, Sanghita Nag, Sharon Lewis, Joe Camaratta, Steve Owens, Drew Torigian

Proceedings Volume 12466, 1246626 (2023) https://doi.org/10.1117/12.2655159

KEYWORDS: Image segmentation, Anatomy, Computed tomography, Deep learning, Artificial intelligence, Radiotherapy, Object recognition, Fuzzy logic, Frequency modulation, Fermium

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Proceedings Article | 3 April 2023 Presentation + Paper

Auto-segmentation of thoraco-abdominal organs in free breathing pediatric dynamic MRI

Yusuf Akhtar, Jayaram Udupa, Yubing Tong, Tiange Liu, Caiyun Wu, Dewey Odhner, Joseph McDonough, Carina Lott, Abbie Clark, Jason Anari, Patrick Cahill, Drew Torigian

Proceedings Volume 12466, 124660T (2023) https://doi.org/10.1117/12.2654995

KEYWORDS: Lung, Image segmentation, Magnetic resonance imaging, Design and modelling, Artificial intelligence, Head, Fuzzy logic, Computed tomography, Adipose tissue, Education and training

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Proceedings Article | 4 April 2022 Poster + Paper

An anatomy-based iteratively searching convolutional neural network for organ localization in CT images

Tiange Liu, Meng Tan, Yubing Tong, Drew Torigian, Jayaram Udupa

Proceedings Volume 12032, 1203227 (2022) https://doi.org/10.1117/12.2610963

KEYWORDS: Computed tomography, Convolutional neural networks, Medical imaging, 3D acquisition, Liver, Image resolution, 3D image processing, Image segmentation, Tumors, Spleen

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Showing 5 of 7 publications

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