Dr. Syed M. S. Reza Profile

Dr. Syed M. S. Reza

Postdoctoral Research Fellow at National Institute of Allergy and Infectious Diseases

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Publications (11)

Proceedings Article | 2 April 2024 Poster + Paper

Active learning applied to selection of diverse training data using radiomic features for optimal lung lesion segmentation in nonhuman primates

Mark Rustad, Winston Chu, Syed Reza, Philip Sayre, Ian Crozier, Gabriella Worwa, Jens Kuhn, Claudia Calcagno, Marcelo Castro, Jeffrey Solomon

Proceedings Volume 12930, 129301X (2024) https://doi.org/10.1117/12.3006808

KEYWORDS: Data modeling, Image segmentation, Computed tomography, Radiomics, Performance modeling, Lung, Active learning, Animals, Pulmonary disorders

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SPIE Journal Paper | 8 December 2023

Repeatability of computed tomography liver radiomic features in a nonhuman primate model of diet-induced steatosis

Hui Wang, Jeffrey Solomon, Syed M. Reza, Hee-Jeong Yang, Winston T. Chu, Ian Crozier, Philip Sayre, Byeong Lee, Venkatesh Mani, Thomas Friedrich, David O’Connor, Gabriella Worwa, Jens Kuhn, Claudia Calcagno, Marcelo Castro

JMI, Vol. 10, Issue 06, 066004, (December 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.6.066004

KEYWORDS: Radiomics, Liver, Computed tomography, Cooccurrence matrices, Attenuation, Feature extraction, Diseases and disorders, Animals, Medical image reconstruction, Spleen

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Proceedings Article | 10 April 2023 Poster + Paper

Determination of reproducible radiomic features for diagnosis of fatty liver disease in a crab-eating macaque model

Hui Wang, Jeffrey Solomon, Syed Reza, Hee-Jeong Yang, Ian Crozier, Philip Sayre, Winston Chu, Byeong-Yeul Lee, Venkatesh Mani, Thomas Friedrich, David O'Connor, Willem J. Mulder, Gabriella Worwa, Jens Kuhn, Claudia Calcagno, Marcelo Castro

Proceedings Volume 12468, 1246819 (2023) https://doi.org/10.1117/12.2647632

KEYWORDS: Reproducibility, Radiomics, Computed tomography, Liver, Diseases and disorders, Animals, Feature extraction, Attenuation, Spleen, Medical image reconstruction

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SPIE Journal Paper | 8 December 2022 Open Access

Toward the determination of sensitive and reliable whole-lung computed tomography features for robust standard radiomics and delta-radiomics analysis in a nonhuman primate model of coronavirus disease 2019

Marcelo Castro, Syed M. Reza, Winston Chu, Dara Bradley, Ji Hyun Lee, Ian Crozier, Philip Sayre, Byeong Lee, Venkatesh Mani, Thomas Friedrich, David O’Connor, Courtney Finch, Gabriella Worwa, Irwin M. Feuerstein, Jens Kuhn, Jeffrey Solomon

JMI, Vol. 9, Issue 06, 066003, (December 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.6.066003

KEYWORDS: Animals, Radiomics, Cooccurrence matrices, Computed tomography, Reliability, Feature extraction, COVID 19, Image segmentation, Lung, Animal model studies

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Proceedings Article | 4 April 2022 Poster + Paper

Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis

Marcelo Castro, Syed Reza, Winston Chu, Dara Bradley, Ji Hyun Lee, Ian Crozier, Philip Sayre, Byeong Lee, Venkatesh Mani, Thomas Friedrich, David O'Connor, Courtney Finch, Gabriella Worwa, Irwin Feuerstein, Jens Kuhn, Jeffrey Solomon

Proceedings Volume 12036, 1203621 (2022) https://doi.org/10.1117/12.2607154

KEYWORDS: Reliability, Computed tomography, Feature extraction, Image segmentation, Animal model studies, Lung, Signal attenuation, Scanners, Volume segmentation, Artificial intelligence

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SPIE Journal Paper | 24 April 2019

Glioma grading using structural magnetic resonance imaging and molecular data

Syed M. Reza, Manar Samad, Zeina Shboul, Karra Jones, Khan Iftekharuddin

JMI, Vol. 6, Issue 02, 024501, (April 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.024501

KEYWORDS: Magnetic resonance imaging, Tumors, Image segmentation, Feature extraction, Data modeling, Image classification, Statistical modeling, Pathology, Brain, Performance modeling

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Proceedings Article | 15 March 2019 Paper

Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI

Syed M. Reza, Snehashis Roy, Deric Park, Dzung Pham, John Butman

Proceedings Volume 10953, 1095325 (2019) https://doi.org/10.1117/12.2514000

KEYWORDS: Tumors, Image segmentation, Magnetic resonance imaging, Brain, 3D modeling, Convolutional neural networks, Skull, Spine, Convolution

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Proceedings Article | 3 March 2017 Paper

Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI

Linmin Pei, Syed M. Reza, Wei Li, Christos Davatzikos, Khan Iftekharuddin

Proceedings Volume 10134, 101342L (2017) https://doi.org/10.1117/12.2254034

KEYWORDS: Magnetic resonance imaging, Brain, Image segmentation, Tumor growth modeling, Tissues, Fractal analysis, Tumors, Mathematical modeling, Data modeling, Diffusion

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Proceedings Article | 24 March 2016 Paper

Glioma grading using cell nuclei morphologic features in digital pathology images

Syed M. Reza, Khan Iftekharuddin

Proceedings Volume 9785, 97852U (2016) https://doi.org/10.1117/12.2217559

KEYWORDS: Pathology, Image segmentation, Neuroimaging, Brain, Feature extraction, Tissues, Cancer, Head, Neck, Tumors, Absorbance, Image classification, Image processing

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Proceedings Article | 20 March 2015 Paper

Multi-fractal detrended texture feature for brain tumor classification

Syed M. Reza, Randall Mays, Khan Iftekharuddin

Proceedings Volume 9414, 941410 (2015) https://doi.org/10.1117/12.2083596

KEYWORDS: Tumors, Brain, Magnetic resonance imaging, Neuroimaging, Image classification, Feature extraction, Image segmentation, Magnetism, Imaging spectroscopy, Spectroscopy

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Proceedings Article | 18 March 2014 Paper

Multi-fractal texture features for brain tumor and edema segmentation

S. Reza, K. Iftekharuddin

Proceedings Volume 9035, 903503 (2014) https://doi.org/10.1117/12.2044264

KEYWORDS: Tumors, Image segmentation, Tissues, Brain, Magnetic resonance imaging, Data modeling, Image fusion, Neuroimaging, Solids, Feature extraction

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Showing 5 of 11 publications

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