Prof. John S. Zelek Profile

Prof. John S. Zelek

at Univ of Waterloo

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Author

Publications (12)

Proceedings Article | 20 August 2020 Presentation + Paper

Interpretation of deep learning using attributions: application to ophthalmic diagnosis

Amitojdeep Singh, Abdul Rasheed Mohammed, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 11511, 115110A (2020) https://doi.org/10.1117/12.2568631

KEYWORDS: Optical coherence tomography, Retina, Image classification, Performance modeling, Convolutional neural networks, Ophthalmology, Machine learning, Medical image processing

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Proceedings Article | 10 March 2020 Paper

FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis

Sourya Sengupta, Akshay Athwale, Tanmay Gulati, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 11313, 113132M (2020) https://doi.org/10.1117/12.2549869

KEYWORDS: Blood vessels, Image segmentation, Medical imaging, Retina

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Proceedings Article | 6 September 2019 Paper

Cross-domain diabetic retinopathy detection using deep learning

Sourya Sengupta, Amitojdeep Singh, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 11139, 111390V (2019) https://doi.org/10.1117/12.2529450

KEYWORDS: Data modeling, Image classification, Visualization, Machine learning, Image resolution, Visual process modeling

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Proceedings Article | 30 August 2019 Presentation + Paper

Fundus camera versus smartphone camera attachment: image quality analysis

Nicole Barritt, Mohana Kuppuswamy Parthasarathy, Ibrahim Faruq, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 11104, 111040A (2019) https://doi.org/10.1117/12.2528965

KEYWORDS: Image quality, Cameras, Signal to noise ratio, Image analysis, Retina, Eye, Image resolution, Zoom lenses, Video, Point spread functions

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Proceedings Article | 16 March 2018 Paper

Classification of optical coherence tomography images for diagnosing different ocular diseases

Peyman Gholami, Mohsen Sheikh Hassani, Mohana Kuppuswamy Parthasarathy, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 10487, 1048705 (2018) https://doi.org/10.1117/12.2292520

KEYWORDS: Optical coherence tomography, Image classification, Binary data, Feature extraction, Retina, Data modeling, Eye, Machine learning, Classification systems, Computing systems

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Proceedings Article | 12 March 2018 Paper

Comparison of Gaussian filter versus wavelet-based denoising on graph-based segmentation of retinal OCT images

Priyanka Roy, Mohana Kuppuswamy Parthasarathy, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 10578, 105782N (2018) https://doi.org/10.1117/12.2292479

KEYWORDS: Image segmentation, Denoising, Gaussian filters, Image processing algorithms and systems, Optical coherence tomography, Reconstruction algorithms, Image filtering, Algorithm development, Wavelets, Retina, Ophthalmic imaging

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Proceedings Article | 14 February 2018 Paper

Intra-retinal segmentation of optical coherence tomography images using active contours with a dynamic programming initialization and an adaptive weighting strategy

Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, Abbas Ommani, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 10483, 104832M (2018) https://doi.org/10.1117/12.2292095

KEYWORDS: Image segmentation, Optical coherence tomography, Computer programming, Denoising, Speckle, Retina, Mathematical modeling, Eye, Image analysis, Data modeling

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Proceedings Article | 14 February 2018 Paper

Automated intraretinal layer segmentation of optical coherence tomography images using graph-theoretical methods

Priyanka Roy, Peyman Gholami, Mohana Kuppuswamy Parthasarathy, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 10483, 104832U (2018) https://doi.org/10.1117/12.2282949

KEYWORDS: Image segmentation, Image processing algorithms and systems, Optical coherence tomography, Algorithm development, Retina, Pathology, Evolutionary algorithms, Visualization, Denoising, Image processing

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Proceedings Article | 24 February 2017 Presentation + Paper

Segmentation and feature extraction of retinal vascular morphology

Henry Leopold, Jeff Orchard, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 10133, 101330V (2017) https://doi.org/10.1117/12.2253744

KEYWORDS: Convolutional neural networks, Image segmentation, Feature extraction, Databases, Gold, Image classification, Surface plasmons, Convolution, Lithium, Image analysis

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Proceedings Article | 16 February 2017 Presentation + Paper

Use of Gabor filters and deep networks in the segmentation of retinal vessel morphology

Henry Leopold, Jeff Orchard, John Zelek, Vasudevan Lakshminarayanan

Proceedings Volume 10068, 100680R (2017) https://doi.org/10.1117/12.2252988

KEYWORDS: Convolutional neural networks, Image segmentation, Neural networks, Image filtering, Retinal scanning, Retina, Pathology, Image registration, Surgery, Biometrics, Databases, Image classification, Network architectures, Convolution, Algorithm development, Image processing, Surface plasmons

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Proceedings Article | 12 May 2005 Paper

IR depth from stereo for autonomous navigation

John Zelek, Marc Holbein, Kiana Hajebi, Daniel Asmar, David Cheng

Proceedings Volume 5784, (2005) https://doi.org/10.1117/12.604151

KEYWORDS: Cameras, Calibration, Infrared imaging, Distortion, Infrared cameras, Visible radiation, Image processing, Thermography, Sensors, Infrared radiation

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Proceedings Article | 29 January 1999 Paper

Data fusion approach to verifying handwritten signatures on bank checks

D. Scott, Otman Basir, Khaled Hassanein, John Zelek

Proceedings Volume 3584, (1999) https://doi.org/10.1117/12.339810

KEYWORDS: Data fusion, Neural networks, Testing and analysis, Databases, Detection and tracking algorithms, Imaging systems, Image fusion, Feature extraction, Digital watermarking, Control systems

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Showing 5 of 12 publications

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