Prof. Mirza Faisal Beg Profile

Prof. Mirza Faisal Beg

at Simon Fraser Univ

SPIE Involvement:

Author

Publications (22)

Proceedings Article | 7 March 2022 Presentation

Robust multi-volume 3D registration of optical coherence tomography (OCT) volumes

SeyedehMahsa Siadatifini, Yusi Miao, Arman Athwal, Da Ma, Mirza Faisal Beg, Marinko Sarunic, Myeong Jin Ju

Proceedings Volume PC11948, PC119481C (2022) https://doi.org/10.1117/12.2612385

KEYWORDS: Optical coherence tomography, 3D image processing, Image registration, Detection and tracking algorithms, 3D acquisition, Visualization, Optical resolution, Image resolution, Image processing, Head

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Proceedings Article | 7 March 2022 Presentation

Image enhancement for optical coherence tomography with super-resolution generative adversarial networks (SRGAN)

Timothy Yu, Da Ma, Jayden Cole, Myeong Jin Ju, Mirza Faisal Beg, Marinko Sarunic

Proceedings Volume PC11948, PC119481F (2022) https://doi.org/10.1117/12.2610360

KEYWORDS: Optical coherence tomography, Super resolution, Image enhancement, Gallium nitride, Spectral resolution, Visualization, Signal processing, Resolution enhancement technologies, Image resolution

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SPIE Journal Paper | 21 April 2021

Early diagnosis of Alzheimer’s disease on ADNI data using novel longitudinal score based on functional principal component analysis

Haolun Shi, Da Ma, Yunlong Nie, Mirza Faisal Beg, Jian Pei, Jiguo Cao, The Alzheimer’s Disease Neuroimaging Initiative

JMI, Vol. 8, Issue 02, 024502, (April 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.2.024502

KEYWORDS: Alzheimer's disease, Brain, Data modeling, Neuroimaging, Principal component analysis, Magnetic resonance imaging, Feature selection, Feature extraction, Amygdala, Performance modeling

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Proceedings Article | 5 March 2021 Presentation

Progress on combining OCT-A with deep learning for diabetic retinopathy diagnosis

Timothy Yu, Da Ma, Julian Lo, Cyrus WaChong, Michael Chambers, Mirza Faisal Beg, Marinko Sarunic

Proceedings Volume 11630, 116300Z (2021) https://doi.org/10.1117/12.2578995

KEYWORDS: Image classification, Optical coherence tomography, Machine learning, Image resolution, Image processing, Angiography

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Proceedings Article | 20 September 2020 Presentation + Paper

SAR and optical image fusion for urban infrastructure detection and monitoring

Usman Iqbal Ahmed, Bernhard Rabus, Mirza Faisal Beg

Proceedings Volume 11535, 115350M (2020) https://doi.org/10.1117/12.2579480

KEYWORDS: Image fusion, Image segmentation, Synthetic aperture radar, RGB color model, Principal component analysis, Image enhancement, Image resolution, Planets, Image processing, Infrared imaging

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Spaceborne Synthetic Aperture Radar (SAR) and Optical sensors, are one of the main sources of Earth observation in the present age. Both the data types have their inherent advantages and disadvantages. Spaceborne Optical sensor are restricted by clouds but can offer strong information content in ideal conditions. On the other hand, SAR sensors rely on their own energy and can see through clouds. SAR is potentially an all-weather day/night imager. But SAR sensors have limitations in terms of data collection geometry and algorithmic approximations. Both sensors offer complimentary information for exploitation in data fusion for enhanced results. This research is focused on capitalizing the fusion potential for spaceborne High resolution SAR and Optical data in urban settings. The fusion of high reflection of SAR energy from urban areas and optical features of such areas can be combined to enhance the urban infrastructure detection and monitoring in a SAR/Optical fused scenario. SAR/Optical fusion can take place at three levels 1) pixel level, 2) feature level; and 3) information level. Pixel level fusion is often considered most difficult for high resolution data as precise registration up to subpixel level is required and even slight misregistration results in unfavorable circumstances. Simon Fraser University (SFU) Burnaby Mountain Campus has been chosen for area of interest because of its ongoing student housing and university infrastructure developmental projects. TerraSAR-X High Resolution Spotlight (TSX-HS) Single Look Complex (SLC) images of 1.0 m resolution have continuously being acquired over SFU; along with high resolution Optical (RGB) and Infrared (IR) images (3.0 m resolution each) from “The Planet” acquisitions. Limited high-resolution images from “Google Earth” (GE) in the coinciding period of TSX-HS acquisitions were also acquired for the study. Six fusion techniques have been studied for urban infrastructure detection and have been categorized based on their performance. Precision change maps will be created based on time series analysis for SAR/optical fused data in conjunction with Interferometric SAR (InSAR) analysis to study the long-term effect of urban infrastructure developments over a period of two years.

Proceedings Article | 9 March 2020 Presentation

Progress on machine learning based methods for processing and classification of optical coherence tomography angiography (Conference Presentation)

Morgan Heisler, Julian Lo, Donghuan Lu, Francis Tran, Arman Athwal, Ivana Zadro, Sven Loncaric, Mirza Faisal Beg, Marinko Sarunic

Proceedings Volume 11228, 112281Z (2020) https://doi.org/10.1117/12.2547148

KEYWORDS: Optical coherence tomography, Angiography, Machine learning, Capillaries, Adaptive optics, Image segmentation, Retina, Visualization, Sensors, Image resolution

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Proceedings Article | 4 March 2019 Presentation

Multi-acquisition averaging OCT-A for diabetic retinopathy (Conference Presentation)

Arman Athwal, Morgan Heisler, Myeong Jin Ju, Rosanna Martens, Mahadev Bhalla, Gavin Docherty, Zaid Mammo, Yifan Jian, Mirza Faisal Beg, Eduardo Navajas, Marinko Sarunic

Proceedings Volume 10867, 108671C (2019) https://doi.org/10.1117/12.2510997

KEYWORDS: Image registration, Image segmentation, Visualization, Image quality, Vascular diseases, Optical coherence tomography, Angiography, Image processing

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Proceedings Article | 19 April 2017 Presentation

GPU accelerated optical coherence tomography angiography using strip-based registration (Conference Presentation)

Morgan Heisler, Sieun Lee, Zaid Mammo, Yifan Jian, Myeong Jin Ju, Dongkai Miao, Eric Raposo, Daniel Wahl, Andrew Merkur, Eduardo Navajas, Chandrakumar Balaratnasingam, Mirza Faisal Beg, Marinko Sarunic

Proceedings Volume 10053, 1005306 (2017) https://doi.org/10.1117/12.2253588

KEYWORDS: Image processing, Visual analytics, Image registration, Optical coherence tomography, Angiography, Visualization, Image segmentation, Image quality, Vascular diseases, Pathology

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SPIE Journal Paper | 7 March 2017 Open Access

Strip-based registration of serially acquired optical coherence tomography angiography

Morgan Heisler, Sieun Lee, Zaid Mammo, Yifan Jian, Myeong Jin Ju, Andrew Merkur, Eduardo Navajas, Chandrakumar Balaratnasingam, Mirza Faisal Beg, Marinko Sarunic

JBO, Vol. 22, Issue 03, 036007, (March 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.3.036007

KEYWORDS: Image registration, Angiography, Optical coherence tomography, Visualization, Signal to noise ratio, Capillaries, Eye, Image quality, Speckle, Visibility

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SPIE Journal Paper | 11 July 2016 Open Access

Segmentation of the foveal microvasculature using deep learning networks

Pavle Prentašić, Morgan Heisler, Zaid Mammo, Sieun Lee, Andrew Merkur, Eduardo Navajas, Mirza Faisal Beg, Marinko Šarunic, Sven Lončarić

JBO, Vol. 21, Issue 07, 075008, (July 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.7.075008

KEYWORDS: Image segmentation, Capillaries, Blood vessels, Neural networks, Neurons, Optical coherence tomography, Visualization, Brain mapping, Angiography, Solids

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Proceedings Article | 29 March 2016 Paper

Surface displacement based shape analysis of central brain structures in preterm-born children

Amanmeet Garg, Ruth Grunau, Karteek Popuri, Steven Miller, Bruce Bjornson, Kenneth Poskitt, Mirza Faisal Beg

Proceedings Volume 9788, 97880H (2016) https://doi.org/10.1117/12.2216914

KEYWORDS: Brain, Magnetic resonance imaging, Shape analysis, Neuroimaging, Feature extraction, Data acquisition, Brain imaging, Brain mapping, Image segmentation, Binary data, Statistical analysis, Image processing

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SPIE Journal Paper | 13 November 2014 Open Access

Morphological phenotyping of mouse hearts using optical coherence tomography

Michelle Cua, Eric Lin, Ling Lee, Xiaoye Sheng, Kevin S. K. Wong, Glen Tibbits, Mirza Faisal Beg, Marinko Sarunic

JBO, Vol. 19, Issue 11, 116007, (November 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.11.116007

KEYWORDS: Heart, Optical coherence tomography, Image segmentation, Tissues, Mouse models, Refraction, Visualization, Image processing, Image registration, 3D image processing

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SPIE Journal Paper | 28 October 2014

Manually segmented template library for 8-year-old pediatric brain MRI data with 16 subcortical structures

Amanmeet Garg, Darren Wong, Karteek Popuri, Kenneth Poskitt, Kevin Fitzpatrick, Bruce Bjornson, Ruth Grunau, Mirza Faisal Beg

JMI, Vol. 1, Issue 03, 034502, (October 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.034502

KEYWORDS: Image segmentation, Magnetic resonance imaging, Brain, Neuroimaging, Thalamus, Cerebellum, Data acquisition, Binary data, Image fusion, 3D image processing

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Proceedings Article | 18 June 2013 Paper

Segmentation of the macular choroid in OCT images acquired at 830nm and 1060nm

Sieun Lee, Mirza Beg, Marinko Sarunic

Proceedings Volume 8802, 88020J (2013) https://doi.org/10.1117/12.2032603

KEYWORDS: Image segmentation, Optical coherence tomography, 3D scanning, 3D metrology, Imaging systems, Prototyping, 3D image processing, Retina, Visualization, 3D acquisition

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SPIE Journal Paper | 1 March 2013 Open Access

Rapid radial optical coherence tomography image acquisition

Evgeniy Lebed, Sieun Lee, Marinko Sarunic, Mirza Beg

JBO, Vol. 18, Issue 03, 036004, (March 2013) https://doi.org/10.1117/12.10.1117/1.JBO.18.3.036004

KEYWORDS: Optical coherence tomography, Image acquisition, Data acquisition, Image restoration, Wavelets, Image quality, 3D acquisition, 3D image processing, Optic nerve, Head

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Proceedings Article | 2 March 2011 Paper

Momentum-based morphometric analysis with application to Parkinson's disease

Jingyun Chen, Ali Khan, Martin McKeown, Mirza Beg

Proceedings Volume 7964, 79640S (2011) https://doi.org/10.1117/12.877840

KEYWORDS: Parkinson's disease, Brain, Basal ganglia, Neuroimaging, Image segmentation, Thalamus, Visualization, Magnetic resonance imaging, Statistical analysis, Image analysis

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Proceedings Article | 12 February 2011 Paper

Morphometry of the myopic optic nerve head using FDOCT

Sieun Lee, Mei Young, Evgeniy Lebed, Paul Mackenzie, Mirza Beg, Marinko Sarunic

Proceedings Volume 7889, 788932 (2011) https://doi.org/10.1117/12.875778

KEYWORDS: Tissue optics, Natural surfaces, Optical coherence tomography, Tissues, Image segmentation, Optic nerve, Head, Visualization, Imaging systems, Image visualization

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Proceedings Article | 20 February 2010 Paper

Morphometric analysis of the optic nerve head with optical coherence tomography

M. Young, S. Lee, E. Gibson, K. Hsu, M. Beg, P. Mackenzie, M. Sarunic

Proceedings Volume 7554, 75542L (2010) https://doi.org/10.1117/12.843217

KEYWORDS: Optical coherence tomography, Optic nerve, Head, Imaging systems, Image segmentation, Visualization, Tissues, Systems modeling, Ophthalmology, Nerve

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Proceedings Article | 27 March 2009 Paper

Freesurfer-initialized large deformation diffeomorphic metric mapping with application to Parkinson's disease

Jingyun Chen, Samantha Palmer, Ali Khan, Martin Mckeown, Mirza Faial Beg

Proceedings Volume 7259, 725931 (2009) https://doi.org/10.1117/12.810854

KEYWORDS: Image segmentation, Brain, Neuroimaging, Parkinson's disease, Control systems, Magnetic resonance imaging, Thalamus, Brain mapping, Image registration, Basal ganglia

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Proceedings Article | 29 March 2007 Paper

Estimation of 3D myocardial motion from tagged MRI using LDDMM

Vinay Kotamraju, Elliot McVeigh, Mirza Faisal Beg

Proceedings Volume 6511, 65112H (2007) https://doi.org/10.1117/12.710115

KEYWORDS: Image segmentation, Motion estimation, Magnetic resonance imaging, Image registration, Tissues, Reconstruction algorithms, Visualization, 3D image processing, Medical imaging, Modulation

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Proceedings Article | 5 March 2007 Paper

Consistent realignment of 3D diffusion tensor MRI eigenvectors

Mirza Faisal Beg, Ryan Dickie, Gregory Golds, Laurent Younes

Proceedings Volume 6512, 651242 (2007) https://doi.org/10.1117/12.710369

KEYWORDS: Diffusion, Magnetic resonance imaging, Heart, Tissues, Algorithm development, Medical imaging, Signal attenuation, Visualization, Binary data, 3D image processing

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Proceedings Article | 29 April 2005 Paper

Computing the thickness of the ventricular heart wall from 3D MRI images

Gregory Golds, Faisal Beg

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.593948

KEYWORDS: Heart, Image segmentation, Image processing, 3D magnetic resonance imaging, Binary data, 3D image processing, Magnetic resonance imaging, Chemical elements, Interfaces, Spherical lenses

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Showing 5 of 22 publications

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