Dr. Darryl H. Hwang Profile

Dr. Darryl H. Hwang

at University of Southern California

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Author

Publications (23)

Proceedings Article | 6 March 2023 Paper

CEM radiomics for distinguishing lesion from background parenchymal enhancement in patients with invasive breast cancer

Bino Varghese, Melissa Perkins, Steven Cen, Xiaomeng Lei, Jacquelyn Fields, Janet Jamie, Bhushan Desai, Mariam Thomas, Darryl Hwang, Sandy Lee, Linda Larsen, Mary Yamashita

Proceedings Volume 12567, 125670H (2023) https://doi.org/10.1117/12.2670371

KEYWORDS: Radiomics, Breast, Breast cancer, Semantics, Tumors, Statistical analysis, Performance modeling, Mammography

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Proceedings Article | 6 March 2023 Paper

Effects and methodology for grid subdivision of CT-based texture for unsupervised clustering

Kenneth G. Cunanan, Bino Varghese, Yenlin Lee, Raghda Abouelnaga, Ramin Eghtesadi, Darryl Hwang, Vinay Duddalwar, Steven Cen

Proceedings Volume 12567, 125670F (2023) https://doi.org/10.1117/12.2670140

KEYWORDS: Machine learning, Tumors, Visualization, Computed tomography, Image processing, Medical imaging, Image segmentation, Tissues, Statistical analysis, Principal component analysis

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Proceedings Article | 6 March 2023 Paper

Contrast-Enhanced UltraSound (CEUS)-based characterization solid renal masses: a role for quantitative imaging approaches

Bino Varghese, Marielena Rivas, Steven Cen, Xiaomeng Lei, Michael Chang, KwangJu Lee, Jamie Gunter, Renata Amoedo, Mario Franco, Darryl Hwang, Bhushan Desai, Kevin King, Phillip Cheng, Vinay Duddalwar

Proceedings Volume 12567, 125670G (2023) https://doi.org/10.1117/12.2670366

KEYWORDS: Radiomics, Statistical analysis, Visualization, Tumors, Ultrasonography, Tissues, Image segmentation

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Proceedings Article | 6 March 2023 Paper

Tissue characterization of renal masses using Nakagami-modeling of ultrasound-based texture

Bino Varghese, Marielena Rivas, Steven Cen, Xiaomeng Lei, Michael Chang, KwangJu Lee, Janet Jamie, Renata Amoedo, Mario Franco, Darryl Hwang, Bhushan Desai, Kevin King, Phillip Cheng, Vinay Duddalwar

Proceedings Volume 12567, 1256712 (2023) https://doi.org/10.1117/12.2670273

KEYWORDS: Ultrasonography, Tissues, Scanners, Visualization, Backscatter, Performance modeling, Image processing

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Proceedings Article | 6 March 2023 Paper

Bridging radiomics to tumor immune microenvironment assessment in clear cell renal cell carcinoma

Alexander Te-Wei Shieh, Steven Yong Cen, Bino Varghese, Darryl Hwa Hwang, Xiaomeng Lei, Kirthika Gurumurthy, Imran Siddiqi, Manju Aron, Inderbir Gill, William Dean Wallace, Vinay Anant Duddalwar

Proceedings Volume 12567, 1256703 (2023) https://doi.org/10.1117/12.2669717

KEYWORDS: Tumors, Radiomics, Random forests, Cooccurrence matrices, Elasticity, Cancer, Computed tomography, Performance modeling, Tumor growth modeling, Tissues

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Proceedings Article | 6 March 2023 Paper

Multi-platform fractal dimension analysis of renal masses from multiphase contrast-enhanced computed tomography as markers for tumor subtyping

T. Yin, T. Zhao, S. Cen, X. Lei, D. Hwang, S. Hajian, M. Desai, I. Gill, V. Duddalwar, B. Varghese

Proceedings Volume 12567, 125670I (2023) https://doi.org/10.1117/12.2670379

KEYWORDS: Fractal analysis, MATLAB, Tumors, Computed tomography, Binary data, Image segmentation, Statistical analysis, Cancer, Image analysis, Breast

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Proceedings Article | 3 November 2020 Paper

Quantitative CT perfusion: Does CT dose and vascular flow rate affect measures of parametric maps?

Bino Varghese, Yumin Mao, Chenyang Zhao, Steve Cen, Darryl Hwang, Xiaomeng Lei, Paul Casares, Enrique Godinez, Danny Wang, Vinay Duddalwar

Proceedings Volume 11583, 115830L (2020) https://doi.org/10.1117/12.2579524

KEYWORDS: Brain, Computed tomography, Tissues, Signal to noise ratio, Scanners, Brain mapping, X-ray computed tomography, Neuroimaging

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Proceedings Article | 3 November 2020 Paper

3D printing novel PPE for response to COVID-19 related shortages

Brandon K. K. Fields, Natalie Demirjian, Charles DeBoer, Daniel Stemen, Darryl Hwang

Proceedings Volume 11583, 115830O (2020) https://doi.org/10.1117/12.2579555

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Proceedings Article | 3 January 2020 Paper

Differentiating clear cell renal cell carcinoma from oncocytoma using curvelet transform analysis of multiphase CT: preliminary study

Chinmay Jog, Bino Varghese, Darryl Hwang, Steven Cen, Manju Aron, Mihir Desai, Vinay Duddalwar

Proceedings Volume 11330, 1133009 (2020) https://doi.org/10.1117/12.2540169

KEYWORDS: Tumors, Computed tomography, Image segmentation, Cancer, Radiology, Solids, 3D image processing, Statistical analysis, Image filtering, Biopsy

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Proceedings Article | 3 January 2020 Paper

Feasibility of Nakagami parametric image for texture analysis

Michael Chang, Bino Varghese, Jamie Gunter, Kwang Lee, Darryl Hwang, Vinay Duddalwar

Proceedings Volume 11330, 1133002 (2020) https://doi.org/10.1117/12.2540513

KEYWORDS: Ultrasonography, Image analysis, Image processing, Data modeling

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Proceedings Article | 21 December 2018 Paper

MR fat segmentation and quantification for abdominal volumetric and composition analysis

Darryl Hwang, Passant Mohamed, Vinay Duddalwar, Suzanne Palmer

Proceedings Volume 10975, 109750J (2018) https://doi.org/10.1117/12.2513713

KEYWORDS: Magnetic resonance imaging, Image segmentation, Liver, MATLAB, Tissues, Dual energy x-ray absorptiometry, Abdomen, Computed tomography, Medical imaging, 3D image processing

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Proceedings Article | 17 November 2017 Paper

Brain cortical structural differences between non-central nervous system cancer patients treated with and without chemotherapy compared to non-cancer controls: a cross-sectional pilot MRI study using clinically indicated scans

Mark Shiroishi, Vikash Gupta, Bavrina Bigjahan, Steven Cen, Faisal Rashid, Darryl Hwang, Alexander Lerner, Orest Boyko, Chia-Shang Jason Liu, Meng Law, Paul Thompson, Neda Jahanshad

Proceedings Volume 10572, 105720G (2017) https://doi.org/10.1117/12.2285971

KEYWORDS: Cancer, Neuroimaging, Brain, Breast cancer, Magnetic resonance imaging, Lung cancer, Oncology, Image segmentation, Statistical analysis

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Proceedings Article | 17 November 2017 Paper

Wavelets analysis for differentiating solid, non-macroscopic fat containing, enhancing renal masses: a pilot study

Bino Varghese, Darryl Hwang, Passant Mohamed, Steven Cen, Christopher Deng, Michael Chang, Vinay Duddalwar

Proceedings Volume 10572, 105720T (2017) https://doi.org/10.1117/12.2285948

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Proceedings Article | 17 November 2017 Paper

NecroQuant: quantitative assessment of radiological necrosis

Darryl Hwang, Passant Mohamed, Bino Varghese, Steven Cen, Vinay Duddalwar

Proceedings Volume 10572, 105721I (2017) https://doi.org/10.1117/12.2285891

KEYWORDS: Tumors, Computed tomography, Image processing, Cancer, Quantitative analysis, Biomedical optics, Medical imaging

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Proceedings Article | 26 January 2017 Paper

Fast Fourier transform-based analysis of renal masses on contrast-enhanced computed tomography images for grading of tumor

Bino Varghese, Darryl Hwang, Steven Cen, Bhushan Desai, Felix Yap, Inderbir Gill, Mihir Desai, Manju Aron, Gangning Liang, Michael Chang, Christopher Deng, Mike Kwon, Chidubem Ugweze, Frank Chen, Vinay Duddalwar

Proceedings Volume 10160, 101600J (2017) https://doi.org/10.1117/12.2256871

KEYWORDS: Computed tomography, Statistical analysis, Phase measurement, Fourier transforms, Image segmentation, Tissues, Pathology, Tumors, Receivers, Quantitative analysis

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Proceedings Article | 26 January 2017 Paper

Radiomics-based quantitative biomarker discovery: development of a robust image processing infrastructure

Darryl Hwang, Bino Varghese, Michael Chang, Christopher Deng, Chidubem Ugweze, Steven Cen, Vinay Duddalwar

Proceedings Volume 10160, 1016017 (2017) https://doi.org/10.1117/12.2256829

KEYWORDS: Medical imaging, Image processing, Data storage, Analytical research, Image segmentation, 3D image processing, Tumors, Statistical analysis, Data processing, Computed tomography

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Proceedings Article | 29 March 2016 Paper

The 3D EdgeRunner Pipeline: a novel shape-based analysis for neoplasms characterization

Fernando Yepes-C, Rebecca Johnson, Yi Lao, Darryl Hwang, Julie Coloigner, Felix Yap, Desai Bushan, Phillip Cheng, Inderbir Gill, Vinay Duddalwar, Natasha Lepore

Proceedings Volume 9788, 97882N (2016) https://doi.org/10.1117/12.2217238

KEYWORDS: Shape analysis, 3D image processing, Image processing, Diagnostics, 3D modeling, Visualization, Kidney, Statistical analysis, Cancer, Clinical research, Tumors, Distance measurement, Edge detection

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Proceedings Article | 22 December 2015 Paper

Multidimensional Interactive Radiology Report and Analysis: standardization of workflow and reporting for renal mass tracking and quantification

Darryl Hwang, Kevin Ma, Fernando Yepes, Mridula Nadamuni, Megha Nayyar, Brent Liu, Vinay Duddalwar, Natasha Lepore

Proceedings Volume 9681, 96810C (2015) https://doi.org/10.1117/12.2211526

KEYWORDS: Radiology, Kidney, 3D metrology, 3D modeling, 3D image processing, Image segmentation, Tumors, Image processing, Natural surfaces, 3D imaging standards

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Proceedings Article | 28 January 2015 Paper

TractRender: a new generalized 3D medical image visualization and output platform

Darryl Hwang, Sinchai Tsao, Niharika Gajawelli, Meng Law, Natasha Lepore

Proceedings Volume 9287, 928713 (2015) https://doi.org/10.1117/12.2081296

KEYWORDS: Visualization, 3D image processing, Diffusion tensor imaging, Diffusion, Brain, Image segmentation, Control systems, Light sources and illumination, Video, Opacity

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Proceedings Article | 9 April 2014 Paper

Mapping of ApoE4 related white matter damage using diffusion MRI

Sinchai Tsao, Niharika Gajawelli, Darryl Hwang, Stephen Kriger, Meng Law, Helena Chui, Michael Weiner, Natasha Lepore

Proceedings Volume 9039, 90390H (2014) https://doi.org/10.1117/12.2043925

KEYWORDS: Dementia, Magnetic resonance imaging, Alzheimer's disease, Statistical analysis, Scanning probe microscopy, Genetics, Imaging systems, Diffusion magnetic resonance imaging, Scanners, Brain mapping

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Proceedings Article | 21 March 2014 Paper

3D pre- versus post-season comparisons of surface and relative pose of the corpus callosum in contact sport athletes

Yi Lao, Niharika Gajawelli, Lauren Haas, Bryce Wilkins, Darryl Hwang, Sinchai Tsao, Yalin Wang, Meng Law, Natasha Leporé

Proceedings Volume 9034, 90344E (2014) https://doi.org/10.1117/12.2043245

KEYWORDS: Brain, Traumatic brain injury, Statistical analysis, Shape analysis, Magnetic resonance imaging, Injuries, Analytical research, Image registration, Radiology, Head

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Proceedings Article | 29 March 2007 Paper

Retrospective processing of DTI tractography to compensate for partial volume effects

Darryl Hwang, Aarti Shetty, Amrita Rajagopalan, Manbir Singh

Proceedings Volume 6511, 651124 (2007) https://doi.org/10.1117/12.710213

KEYWORDS: Diffusion tensor imaging, Brain, Diffusion, Alzheimer's disease, Data acquisition, Magnetic resonance imaging, Magnetism, Medicine, Brain mapping, Diffusion weighted imaging

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Proceedings Article | 14 April 2005 Paper

Evaluation of MRI DTI-tractography by tract-length histogram

Manbir Singh, Darryl Hwang, Witaya Sungkarat, Karthic Veera

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.594721

KEYWORDS: Diffusion, Data acquisition, Magnetic resonance imaging, Diffusion tensor imaging, Brain, Anisotropy, Phased arrays, Signal to noise ratio, Brain mapping, Signal attenuation

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Showing 5 of 23 publications

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