Dr. Shuo Han Profile

Dr. Shuo Han

Biomedical Engineer at Johns Hopkins Univ

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Publications (8)

Proceedings Article | 3 April 2023 Poster + Paper

Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation

Pouria Tohidi, Shuo Han, Lianrui Zuo, Jiachen Zhuo, Steven Roys, Aaron Carass, Rao Gullapalli, Jerry Prince

Proceedings Volume 12464, 124642F (2023) https://doi.org/10.1117/12.2653988

KEYWORDS: Image segmentation, Magnetic resonance imaging, Voxels, Deep learning, Thalamus, White matter, Data modeling, Visualization, Realistic image synthesis

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Proceedings Article | 4 April 2022 Poster + Paper

Multiple Sclerosis brain lesion segmentation with different architecture ensembles

Pouria Tohidi, Samuel Remedios, Danielle Greenman, Muhan Shao, Shuo Han, Blake Dewey, Jacob Reinhold, Yi-Yu Chou, Dzung Pham, Jerry Prince, Aaron Carass

Proceedings Volume 12036, 1203625 (2022) https://doi.org/10.1117/12.2623302

KEYWORDS: Image segmentation, Magnetic resonance imaging, Head, Brain, Skull, Network architectures, Image filtering

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Proceedings Article | 4 April 2022 Presentation + Paper

Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging

Peiyu Duan, Shuo Han, Lianrui Zuo, Yang An, Yihao Liu, Ahmed Alshareef, Junghoon Lee, Aaron Carass, Susan Resnick, Jerry Prince

Proceedings Volume 12032, 1203215 (2022) https://doi.org/10.1117/12.2613146

KEYWORDS: Brain, Magnetic resonance imaging, Statistical analysis, Spherical lenses, Reconstruction algorithms, Magnetism, Image segmentation, Data modeling, Convolutional neural networks, Statistical modeling

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Proceedings Article | 15 February 2021 Poster + Presentation

Thalamus segmentation using convolutional neural networks

Shangxian Wang, Shuo Han, Aaron Carass, Jiachen Zhuo, Steven Roys, Rao Gullapalli, Li Jiang, Jerry Prince

Proceedings Volume 11596, 1159634 (2021) https://doi.org/10.1117/12.2582276

KEYWORDS: Image segmentation, Thalamus, Convolutional neural networks, Medical imaging, Visualization, Traumatic brain injury, Super resolution, Magnetism, Magnetic resonance imaging, Image processing algorithms and systems

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Proceedings Article | 10 March 2020 Paper

Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation

Shuo Han, Jerry Prince, Aaron Carass

Proceedings Volume 11313, 1131337 (2020) https://doi.org/10.1117/12.2549399

KEYWORDS: Image segmentation, Brain, Convolution, Neuroimaging, Convolutional neural networks, Cerebellum, Magnetic resonance imaging, Network architectures

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Proceedings Article | 15 March 2019 Presentation + Paper

Automatic quality control using hierarchical shape analysis for cerebellum parcellation

Lianrui Zuo, Shuo Han, Aaron Carass, Sarah Ying, Chiadikaobi Onyike, Jerry Prince

Proceedings Volume 10949, 109490J (2019) https://doi.org/10.1117/12.2512805

KEYWORDS: Cerebellum, Image segmentation, Shape analysis, Automatic control, Error analysis, Medicine, Visualization, Computer engineering, Biomedical engineering, Behavioral neuroscience

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Proceedings Article | 15 March 2019 Presentation + Paper

Cerebellum parcellation with convolutional neural networks

Shuo Han, Yufan He, Aaron Carass, Sarah Ying, Jerry Prince

Proceedings Volume 10949, 109490K (2019) https://doi.org/10.1117/12.2512119

KEYWORDS: Cerebellum, Image segmentation, Convolutional neural networks, Magnetic resonance imaging, Network architectures, Image processing algorithms and systems, Medicine

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Proceedings Article | 12 March 2018 Presentation + Paper

Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation

Lianrui Zuo, Aaron Carass, Shuo Han, Jerry Prince

Proceedings Volume 10578, 105780D (2018) https://doi.org/10.1117/12.2295709

KEYWORDS: Image segmentation, Cerebellum, Image classification, Error analysis, Failure analysis, Visualization, Medical imaging, Feature extraction, Probability theory, Image processing algorithms and systems

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Showing 5 of 8 publications

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