Mr. Jiacheng Wang Profile

Jiacheng Wang

at Vanderbilt Univ

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Author

Publications (4)

Proceedings Article | 2 April 2024 Presentation + Paper

CATS v2: hybrid encoders for robust medical segmentation

Hao Li, Han Liu, Dewei Hu, Xing Yao, Jiacheng Wang, Ipek Oguz

Proceedings Volume 12926, 129260H (2024) https://doi.org/10.1117/12.3006820

KEYWORDS: Computed tomography, Image segmentation, Transformers, Windows, Medical imaging, 3D image processing, 3D modeling, Prostate, Magnetic resonance imaging, Data modeling

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Proceedings Article | 3 April 2023 Presentation + Paper

SSL2 Self-Supervised Learning meets semi-supervised learning: multiple clerosis segmentation in 7T-MRI from large-scale 3T-MRI

Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz

Proceedings Volume 12464, 124640Q (2023) https://doi.org/10.1117/12.2654522

KEYWORDS: Education and training, Magnetic resonance imaging, Multiple sclerosis, Data modeling, Image segmentation, Head, Performance modeling, Transformers, Solid state lighting, Histograms

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Proceedings Article | 3 April 2023 Poster + Paper

Deep angiogram: trivializing retinal vessel segmentation

Dewei Hu, Xing Yao, Jiacheng Wang, Yuankai K. Tao, Ipek Oguz

Proceedings Volume 12464, 124642U (2023) https://doi.org/10.1117/12.2654214

KEYWORDS: Image segmentation, Angiography, Education and training, Principal component analysis, Photography, Data modeling, Performance modeling, Visualization, Feature extraction, Deep learning

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Proceedings Article | 3 April 2023 Presentation + Paper

Novel application of the attention mechanism on medical image harmonization

Xing Yao, Ange Lou, Hao Li, Dewei Hu, Daiwei Lu, Han Liu, Jiacheng Wang, Zachary Stoebner, Hans Johnson, Jeff Long, Jane Paulsen, Ipek Oguz

Proceedings Volume 12464, 124640Y (2023) https://doi.org/10.1117/12.2654392

KEYWORDS: Image segmentation, Medical imaging, Education and training, Content addressable memory, Control systems, Magnetic resonance imaging, Machine learning, Data modeling, White matter, Biomedical applications

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