Dr. Yong Fan Profile

Dr. Yong Fan

at Penn Medicine

SPIE Involvement:

Conference Program Committee | Author

Publications (21)

Proceedings Article | 2 April 2024 Poster + Paper

Diffeomorphic image registration with bijective consistency

Jiong Wu, Hongming Li, Yong Fan

Proceedings Volume 12926, 129262V (2024) https://doi.org/10.1117/12.3006871

KEYWORDS: Image registration, Deformation, Education and training, Machine learning, Frequency modulation, Fermium, Brain, Image resolution, Neuroimaging, Magnetic resonance imaging

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Proceedings Article | 6 October 2023 Poster

Joint identification of functionally connected cortical-surface and deep-brain structures for TMS treatment

Yuncong Ma, Hongming Li, Liang Ma, Romain Duprat, Desmond Oathes, Yong Fan

Proceedings Volume PC12655, PC126551A (2023) https://doi.org/10.1117/12.2677859

KEYWORDS: Anatomy, Skull, Prefrontal cortex, Neuroimaging, Modulation, Magnetism, Image registration, Brain stimulation, Brain

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Proceedings Article | 28 September 2023 Presentation + Paper

Cascaded convolutional networks for unsupervised brain tissue segmentation and bias field estimation

Hongming Li, Yong Fan

Proceedings Volume 12655, 1265506 (2023) https://doi.org/10.1117/12.2676893

KEYWORDS: Image segmentation, Brain tissue, Neuroimaging, Data modeling, Bias correction

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Proceedings Article | 12 October 2022 Paper

Accurate neuroanatomy segmentation using 3D spatial and anatomical attention neural networks

Hewei Cheng, Zhengyu Ren, Peiyang Li, Yin Tian, Wei Wang, Zhangyong Li, Yong Fan

Proceedings Volume 12342, 123422O (2022) https://doi.org/10.1117/12.2644416

KEYWORDS: Image segmentation, Brain, Neuroimaging, Convolution, Magnetic resonance imaging, 3D image processing, 3D modeling, Neural networks, Skull, Performance modeling

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Proceedings Article | 4 October 2022 Presentation

Computation of personalized functional networks using self-supervised deep learning (Conference Presentation)

Yong Fan

Proceedings Volume PC12204, PC122040Z (2022) https://doi.org/10.1117/12.2633803

KEYWORDS: Data modeling, Brain, Functional magnetic resonance imaging, Visualization, Visual process modeling, Neural networks, Network architectures, Magnetic resonance imaging, Genetics, Convolutional neural networks

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Proceedings Article | 4 April 2022 Presentation + Paper

Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction

Zhen Zhou, Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Haochang Shou, Christos Davatzikos, Yong Fan

Proceedings Volume 12036, 1203608 (2022) https://doi.org/10.1117/12.2611557

KEYWORDS: Brain, Functional magnetic resonance imaging, Neuroimaging, Data modeling, Performance modeling, Scanners, Magnetic resonance imaging

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Proceedings Article | 2 March 2018 Paper

Coupled dictionary learning for joint MR image restoration and segmentation

Xuesong Yang, Yong Fan

Proceedings Volume 10574, 105742Z (2018) https://doi.org/10.1117/12.2293043

KEYWORDS: Image segmentation, Image restoration, Image quality, Associative arrays, Magnetic resonance imaging, Alzheimer's disease, Neuroimaging, Medical imaging, Image fusion, Super resolution

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Proceedings Article | 2 March 2018 Paper

Feature extraction using convolutional neural networks for multi-atlas based image segmentation

Xuesong Yang, Yong Fan

Proceedings Volume 10574, 1057439 (2018) https://doi.org/10.1117/12.2293876

KEYWORDS: Image segmentation, Magnetic resonance imaging, Feature extraction, Image fusion, Pattern recognition, Data modeling, Alzheimer's disease, Convolutional neural networks, Network architectures, Performance modeling

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SPIE Journal Paper | 11 January 2018 Open Access

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Christos Davatzikos, Saima Rathore, Spyridon Bakas, Sarthak Pati, Mark Bergman, Ratheesh Kalarot, Patmaa Sridharan, Aimilia Gastounioti, Nariman Jahani, Eric Cohen, Hamed Akbari, Birkan Tunc, Jimit Doshi, Drew Parker, Michael Hsieh, Aristeidis Sotiras, Hongming Li, Yangming Ou, Robert K. Doot, Michel Bilello, Yong Fan, Russell T. Shinohara, Paul Yushkevich, Ragini Verma, Despina Kontos

JMI, Vol. 5, Issue 01, 011018, (January 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.011018

KEYWORDS: Tumors, Magnetic resonance imaging, Cancer, Breast, Analytics, Diagnostics, Image segmentation, Brain, Tissues, Feature extraction

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Proceedings Article | 20 March 2015 Paper

Detection of Alzheimer's disease using group lasso SVM-based region selection

Zhuo Sun, Yong Fan, Boudewijn Lelieveldt, Martijn van de Giessen

Proceedings Volume 9414, 941414 (2015) https://doi.org/10.1117/12.2081368

KEYWORDS: Magnetic resonance imaging, Brain, Alzheimer's disease, Neodymium, Feature selection, Image segmentation, Dementia, Tissues, Performance modeling, Intelligence systems

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Proceedings Article | 20 March 2015 Paper

Random local binary pattern based label learning for multi-atlas segmentation

Hancan Zhu, Hewei Cheng, Yong Fan

Proceedings Volume 9413, 94131B (2015) https://doi.org/10.1117/12.2082381

KEYWORDS: Image segmentation, Image fusion, Binary data, Feature extraction, Magnetic resonance imaging, Neuroimaging, Image filtering, Brain, Image processing algorithms and systems, Image registration

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Proceedings Article | 21 March 2014 Paper

Semi-supervised clustering for parcellating brain regions based on resting state fMRI data

Hewei Cheng, Yong Fan

Proceedings Volume 9034, 903427 (2014) https://doi.org/10.1117/12.2043467

KEYWORDS: Amygdala, Functional magnetic resonance imaging, Brain, Brain mapping, Curium, Diffusion tensor imaging, Head, Neuroimaging, Data modeling, Data centers

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Proceedings Article | 13 March 2013 Paper

Functional brain atlas construction for brain network analysis

Hongming Li, Yong Fan

Proceedings Volume 8669, 86690C (2013) https://doi.org/10.1117/12.2007394

KEYWORDS: Brain, Functional magnetic resonance imaging, Neuroimaging, Network security, Image segmentation, Spatial resolution, Analytical research, Image processing, Ions, Target detection

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Proceedings Article | 6 April 2012 Paper

Activation detection in fNIRS by wavelet coherence

Xin Zhang, Haijing Niu, Yan Song, Yong Fan

Proceedings Volume 8317, 831712 (2012) https://doi.org/10.1117/12.911312

KEYWORDS: Wavelets, Brain, Wavelet transforms, Temporal resolution, Time-frequency analysis, Interference (communication), Visualization, Functional near infrared spectroscopy, Convolution, Fourier transforms

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Proceedings Article | 24 February 2012 Paper

Identification of subject specific and functional consistent ROIs using semi-supervised learning

Yuhui Du, Hongming Li, Hong Wu, Yong Fan

Proceedings Volume 8314, 83144S (2012) https://doi.org/10.1117/12.911248

KEYWORDS: Brain, Functional magnetic resonance imaging, Signal to noise ratio, Independent component analysis, Optical spheres, Network security, Computer simulations, Communication engineering, Binary data, Pattern recognition

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Proceedings Article | 24 February 2012 Paper

Intrinsic functional connectivity pattern-based brain parcellation using normalized cut

Hewei Cheng, Dandan Song, Hong Wu, Yong Fan

Proceedings Volume 8314, 83144F (2012) https://doi.org/10.1117/12.911341

KEYWORDS: Brain, Functional magnetic resonance imaging, Neuroimaging, Shape memory alloys, Spatial analysis, Signal to noise ratio, Network security, Diffusion tensor imaging, Positron emission tomography, Visualization

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Proceedings Article | 14 February 2012 Paper

Shape-constrained multi-atlas based segmentation with multichannel registration

Yongfu Hao, Tianzi Jiang, Yong Fan

Proceedings Volume 8314, 83143N (2012) https://doi.org/10.1117/12.911370

KEYWORDS: Image segmentation, Image registration, Image fusion, Image processing algorithms and systems, Detection and tracking algorithms, Magnetic resonance imaging, Control systems, Medical imaging, Image quality, Neuroimaging

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Proceedings Article | 14 February 2012 Paper

Local label learning (L3) for multi-atlas based segmentation

Yongfu Hao, Jieqiong Liu, Yunyun Duan, Xinqing Zhang, Chunshui Yu, Tianzi Jiang, Yong Fan

Proceedings Volume 8314, 83142E (2012) https://doi.org/10.1117/12.911014

KEYWORDS: Image segmentation, Image fusion, Detection and tracking algorithms, Feature extraction, Machine learning, Magnetic resonance imaging, Image registration, Control systems, Image processing algorithms and systems, Image analysis

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Proceedings Article | 14 February 2012 Paper

fMRI alignment based on local functional connectivity patterns

Di Jiang, Yuhui Du, Hewei Cheng, Tianzi Jiang, Yong Fan

Proceedings Volume 8314, 831415 (2012) https://doi.org/10.1117/12.911077

KEYWORDS: Image registration, Functional magnetic resonance imaging, Distance measurement, Feature extraction, Computer simulations, Matrices, Image processing, Magnetic resonance imaging, Smoothing, Image restoration

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Proceedings Article | 13 March 2010 Paper

Discriminant analysis of resting-state functional connectivity patterns on the Grassmann manifold

Yong Fan, Yong Liu, Tianzi Jiang, Zhening Liu, Yihui Hao, Haihong Liu

Proceedings Volume 7623, 76231J (2010) https://doi.org/10.1117/12.844495

KEYWORDS: Functional magnetic resonance imaging, Independent component analysis, Brain, Image classification, Control systems, Neuroimaging, Network security, Feature selection, Pattern recognition, Image analysis

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Proceedings Article | 11 March 2008 Paper

Feature selection and classification of multiparametric medical images using bagging and SVM

Yong Fan, Susan Resnick, Christos Davatzikos

Proceedings Volume 6914, 69140Q (2008) https://doi.org/10.1117/12.770615

KEYWORDS: Brain, Image classification, Feature extraction, Neuroimaging, Feature selection, Principal component analysis, Brain mapping, Magnetic resonance imaging, Positron emission tomography, Medical imaging

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Showing 5 of 21 publications

Conference Committee Involvement (3)

Emerging Topics in Artificial Intelligence (ETAI) 2025

3 August 2025 | San Diego, California, United States

Emerging Topics in Artificial Intelligence (ETAI) 2024

18 August 2024 | San Diego, California, United States

Emerging Topics in Artificial Intelligence (ETAI) 2023

20 August 2023 | San Diego, California, United States

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