Mr. Mingzhe Hu Profile

Mingzhe Hu

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Publications (13)

Proceedings Article | 3 April 2024 Presentation + Paper

David vs. Goliath: large foundation models are not outperforming small models in multi-view mammogram breast cancer prediction

Xuxin Chen, Mingzhe Hu, Ke Zhang, Neman Abdoli, Youkabed Sadri, Patrik Gilley, Omkar Saiswaroop Varma Chekuri, Farid Omoumi, Yuchen Qiu, Bin Zheng, Xiaofeng Yang

Proceedings Volume 12927, 129270X (2024) https://doi.org/10.1117/12.3007054

KEYWORDS: Mammography, Transformers, Breast cancer, Medical image processing, Deep learning, Computer aided detection

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Proceedings Article | 3 April 2024 Poster + Paper

Polyp-SAM: transfer SAM for polyp segmentation

Yuheng Li, Mingzhe Hu, Xiaofeng Yang

Proceedings Volume 12927, 1292735 (2024) https://doi.org/10.1117/12.3006809

KEYWORDS: Image segmentation, Polyps, Visual process modeling, Performance modeling, Medical imaging, Education and training, Error control coding, Data modeling, Video, Image resolution

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Proceedings Article | 2 April 2024 Presentation + Paper

Mobile-friendly skin lesion detection using an attention-driven lightweight model

Mingzhe Hu, Xiaofeng Yang

Proceedings Volume 12931, 129310T (2024) https://doi.org/10.1117/12.3006822

KEYWORDS: Skin, Performance modeling, Tumor growth modeling, Tunable filters, Machine learning, Statistical modeling, Skin cancer, Education and training, Diagnostics, Cancer detection

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Proceedings Article | 2 April 2024 Poster + Paper

Cardiac MRI segmentation using block-partitioned transformer with global-local information integration

Elham Abouei, Shaoyan Pan, Mingzhe Hu, Aparna Kesarwala, Jun Zhou, Justin Roper, Tian Liu, Xiaofeng Yang

Proceedings Volume 12930, 1293021 (2024) https://doi.org/10.1117/12.3006929

KEYWORDS: Image segmentation, Cardiovascular magnetic resonance imaging, Windows, Transformers, Magnetic resonance imaging, Deep learning, Information fusion, Visualization, Network architectures

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Proceedings Article | 1 April 2024 Presentation + Paper

BreastSAM: adapting the segmentation anything model for breast tumor segmentation in ultrasound imaging

Mingzhe Hu, Yuheng Li, Xiaofeng Yang

Proceedings Volume 12932, 129320V (2024) https://doi.org/10.1117/12.3006773

KEYWORDS: Tumors, Image segmentation, Breast, Performance modeling, Tumor growth modeling, Ultrasonography, Medical imaging, Breast cancer, Visual process modeling, Data modeling

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Proceedings Article | 29 March 2024 Presentation + Paper

SkinSAM: adapting the segmentation anything model for skin cancer segmentation

Mingzhe Hu, Yuheng Li, Xiaofeng Yang

Proceedings Volume 12929, 129290U (2024) https://doi.org/10.1117/12.3006837

KEYWORDS: Image segmentation, Skin cancer, Tumor growth modeling, Performance modeling, Visual process modeling, Skin, Machine learning, Education and training, Medical imaging, Cancer

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Proceedings Article | 29 March 2024 Presentation + Paper

GhostMorph: a computationally efficient model for deformable inter-subject registration

Mingzhe Hu, Shaoyan Pan, Xiaofeng Yang

Proceedings Volume 12928, 129280W (2024) https://doi.org/10.1117/12.3006851

KEYWORDS: Image registration, Deformation, Medical imaging, Convolution, Performance modeling, Image processing, Anatomy, 3D modeling, Liver, Tumors

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SPIE Journal Paper | 16 February 2024

MGMT promoter methylation prediction based on multiparametric MRI via vision graph neural network

Mingzhe Hu, Kailin Yang, Jing Wang, Richard L. J. Qiu, Justin Roper, Shannon Kahn, Hui-Kuo Shu, Xiaofeng Yang

JMI, Vol. 11, Issue 01, 014503, (February 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.1.014503

KEYWORDS: Magnetic resonance imaging, Education and training, Tumors, Performance modeling, RGB color model, 3D modeling, Machine learning, Medical imaging, Image segmentation, Visualization

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Proceedings Article | 10 April 2023 Poster + Paper

Ultrasound breast tumor detection based on vision graph neural network

Mingzhe Hu, Jing Wang, Chih-wei Chang, Tian Liu, Xiaofeng Yang

Proceedings Volume 12470, 124700W (2023) https://doi.org/10.1117/12.2654077

KEYWORDS: Breast, Tumors, Ultrasonography, Data modeling, Cancer detection, Neural networks, Breast cancer, Tumor growth modeling, Deep learning, Medical imaging

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Proceedings Article | 10 April 2023 Poster + Paper

End-to-end brain tumor detection using a graph-feature-based classifier

Mingzhe Hu, Jing Wang, Chih-Wei Chang, Tian Liu, Xiaofeng Yang

Proceedings Volume 12468, 124681C (2023) https://doi.org/10.1117/12.2654020

KEYWORDS: Brain, Tumors, Magnetic resonance imaging, Deep learning, Neuroimaging, Cancer detection, Neural networks, Medicine, Medical imaging, Physics

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Proceedings Article | 7 April 2023 Presentation + Paper

A vision-GNN framework for retinopathy classification using optical coherence tomography

Mingzhe Hu, Jing Wang, Jacob Wynne, Tian Liu, Xiaofeng Yang

Proceedings Volume 12465, 124650Z (2023) https://doi.org/10.1117/12.2653615

KEYWORDS: Optical coherence tomography, Deep learning, Medical imaging, Education and training, Image classification, Data modeling, Retina, Feature extraction, Convolutional neural networks

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Proceedings Article | 7 April 2023 Poster + Paper

Prostate Gleason score prediction via MRI using capsule network

Yuheng Li, Jing Wang, Mingzhe Hu, Pretesh Patel, Hui Mao, Tian Liu, Xiaofeng Yang

Proceedings Volume 12465, 1246523 (2023) https://doi.org/10.1117/12.2653621

KEYWORDS: Magnetic resonance imaging, Education and training, Prostate, Convolution, 3D modeling, Cancer, Prostate cancer, Deep learning

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Proceedings Article | 3 April 2023 Poster + Paper

Multi-organ CT segmentation using shifted-window multilayer perceptron mixer

Shaoyan Pan, Jacob Wynne, Mingzhe Hu, Tonghe Wang, Justin Roper, Pretesh Patel, Tian Liu, Xiaofeng Yang

Proceedings Volume 12466, 124661U (2023) https://doi.org/10.1117/12.2653956

KEYWORDS: Image segmentation, Windows, Computed tomography, Kidney, Head, Radiotherapy, Abdomen, Rectum, Medical imaging, Gallbladder

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Showing 5 of 13 publications

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