Prof. Dmitry B. Goldgof Profile

Prof. Dmitry B. Goldgof

Professor at Univ of South Florida

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Publications (53)

Proceedings Article | 2 April 2024 Poster + Paper

Evaluating clinical and radiomic features for predicting lung cancer recurrence pre- and post-tumor resection

Wai Lone Ho, Nikolai Fetisov, Lawrence Hall, Dmitry Goldgof, Matthew Schabath

Proceedings Volume 12926, 1292623 (2024) https://doi.org/10.1117/12.3006091

KEYWORDS: Radiomics, Tumor growth modeling, Resection, Tumors, Lung cancer, Computed tomography, Image segmentation, Data modeling, Feature extraction

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Proceedings Article | 7 April 2023 Presentation + Paper

MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences

Palak Dave, Yaroslav Kolinko, Hunter Morera, Kurtis Allen, Saeed Alahmari, Dmitry Goldgof, Lawrence Hall, Peter Mouton

Proceedings Volume 12471, 124710R (2023) https://doi.org/10.1117/12.2655627

KEYWORDS: Image segmentation, Neurons, Multiple input multiple output, Education and training, Microscopy, Multiphoton microscopy, Signal to noise ratio, Confocal fluorescent microscopy, Binary data, Time lapse microscopy

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Survival time prediction from unannotated lung cancer histopathology images

Nikolai Fetisov, Lawrence Hall, Dmitry Goldgof, Matthew Schabath

Proceedings Volume 12039, 120391C (2022) https://doi.org/10.1117/12.2611232

KEYWORDS: Lung cancer, Tissues, Cancer, Pathology, Image classification, Convolutional neural networks, Machine learning

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Classification of global microglia proliferation based on deep learning with local images

Hunter Morera, Palak Dave, Yaroslav Kolinko, Kurtis Allen, Saeed Alahmari, Dmitry Goldgof, Lawrence Hall, Peter Mouton

Proceedings Volume 12032, 120322K (2022) https://doi.org/10.1117/12.2611581

KEYWORDS: Brain, Neuroimaging, Image segmentation, Tissues, RGB color model, Image classification, Animal model studies, Performance modeling, Spinal cord, Machine learning

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Proceedings Article | 15 February 2021 Presentation + Paper

Deep radiomics: deep learning on radiomics texture images

Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof

Proceedings Volume 11597, 1159705 (2021) https://doi.org/10.1117/12.2582102

KEYWORDS: Lung cancer, Wavelets, Tumors, Tumor growth modeling, Solids, Medical imaging, Lung, Image classification, Convolutional neural networks

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SPIE Journal Paper | 6 April 2020

Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data

Rahul Paul, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof

JMI, Vol. 7, Issue 02, 024502, (April 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.2.024502

KEYWORDS: Lung cancer, Lung, Convolutional neural networks, Cancer, Data modeling, Tumor growth modeling, Image segmentation, Tumors, Convolution, Statistical analysis

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Proceedings Article | 15 March 2019 Paper

Automatic pressure ulcer measurement using RGB-D data

C.-Y. Pai, H. Morera, S. Sarkar, K. Hall, L. Cowan, P. Toyinbo, M. Peterson, D. Goldgof

Proceedings Volume 10953, 1095320 (2019) https://doi.org/10.1117/12.2512535

KEYWORDS: Image segmentation, 3D metrology, Skin, Wound healing, 3D image processing, Interfaces, Image processing algorithms and systems, Tablets

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Proceedings Article | 13 March 2019 Paper

Towards deep radiomics: nodule malignancy prediction using CNNs on feature images

Rahul Paul, Dmitry Cherezov, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof

Proceedings Volume 10950, 109503Z (2019) https://doi.org/10.1117/12.2512513

KEYWORDS: Lung cancer, Image classification, Image filtering, Cancer, Computed tomography, Convolution, Tumors, Lung, Control systems, Data modeling

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SPIE Journal Paper | 21 March 2018 Open Access

Predicting malignant nodules by fusing deep features with classical radiomics features

Rahul Paul, Samuel Hawkins, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof

JMI, Vol. 5, Issue 01, 011021, (March 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.011021

KEYWORDS: Lung cancer, Lung, Feature extraction, Cancer, RGB color model, Control systems, Computed tomography, Neural networks, Image classification, Cameras

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Proceedings Article | 27 February 2018 Paper

Stability of deep features across CT scanners and field of view using a physical phantom

Rahul Paul, Muhammad Shafiq-ul-Hassan, Eduardo Moros, Robert Gillies, Lawrence Hall, Dmitry Goldgof

Proceedings Volume 10575, 105753P (2018) https://doi.org/10.1117/12.2293164

KEYWORDS: Scanners, Computed tomography, Feature extraction, Convolutional neural networks, Image analysis, Tumors, Cancer, Image acquisition

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Proceedings Article | 3 March 2017 Paper

Fine-tuning convolutional deep features for MRI based brain tumor classification

Kaoutar Ahmed, Lawrence Hall, Dmitry Goldgof, Renhao Liu, Robert Gatenby

Proceedings Volume 10134, 101342E (2017) https://doi.org/10.1117/12.2253982

KEYWORDS: Convolutional neural networks, Magnetic resonance imaging, Brain, Neural networks, Machine learning, Neuroimaging, Image processing, Feature extraction, Head, Tumors, Neurons, RGB color model

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Proceedings Article | 24 March 2016 Paper

Change descriptors for determining nodule malignancy in national lung screening trial CT screening images

Benjamin Geiger, Samuel Hawkins, Lawrence Hall, Dmitry Goldgof, Yoganand Balagurunathan, Robert Gatenby, Robert Gillies

Proceedings Volume 9785, 978535 (2016) https://doi.org/10.1117/12.2217444

KEYWORDS: Computed tomography, Lung, Lung cancer, Computer aided diagnosis and therapy, Cancer, Feature extraction, Biopsy, Feature selection, Analytical research, Machine learning, Current controlled current source, Image segmentation

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Proceedings Article | 24 March 2016 Paper

Classification of progression free survival with nasopharyngeal carcinoma tumors

Hamidreza Farhidzadeh, Joo Kim, Jacob Scott, Dmitry Goldgof, Lawrence Hall, Louis Harrison

Proceedings Volume 9785, 97851I (2016) https://doi.org/10.1117/12.2216976

KEYWORDS: Tissues, Image segmentation, Feature extraction, Mouth, Nose, Magnetic resonance imaging, 3D image enhancement, 3D image processing, Machine learning, Tumors, Cancer, Medical imaging, Diagnostics, Biopsy

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Proceedings Article | 24 March 2016 Paper

Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development

Hamidreza Farhidzadeh, Baishali Chaudhury, Jacob Scott, Dmitry Goldgof, Lawrence Hall, Robert Gatenby, Robert Gillies, Meera Raghavan

Proceedings Volume 9785, 97851H (2016) https://doi.org/10.1117/12.2216961

KEYWORDS: Tissues, Machine learning, Magnetic resonance imaging, Signal analyzers, Oncology, Tumors, Image segmentation, Cancer, Diagnostics, Medical imaging

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Proceedings Article | 24 March 2016 Paper

Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats

Baishali Chaudhury, Mu Zhou, Hamidreza Farhidzadeh, Dmitry Goldgof, Lawrence Hall, Robert Gatenby, Robert Gillies, Robert Weinfurtner, Jennifer Drukteinis

Proceedings Volume 9785, 97850T (2016) https://doi.org/10.1117/12.2216075

KEYWORDS: Breast, Image analysis, Biopsy, Computer aided diagnosis and therapy, Feature extraction, Tumors, Biological research, Feature selection, Cancer, Pathology, Image segmentation

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Proceedings Article | 23 March 2016 Paper

Nucleus segmentation in histology images with hierarchical multilevel thresholding

Hady Ahmady Phoulady, Dmitry Goldgof, Lawrence Hall, Peter Mouton

Proceedings Volume 9791, 979111 (2016) https://doi.org/10.1117/12.2216632

KEYWORDS: Digital image processing, Medical image processing, Image segmentation, Tissues, Deconvolution, Surgery, Cancer, Image resolution, Breast, Liver, Reconstruction algorithms, Image processing, Image processing algorithms and systems, Aluminum, Precision measurement, Pathology

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Proceedings Article | 20 March 2015 Paper

Imbalanced learning for clinical survival group prediction of brain tumor patients

Mu Zhou, Lawrence Hall, Dmitry Goldgof, Robert Gillies, Robert Gatenby

Proceedings Volume 9414, 94142K (2015) https://doi.org/10.1117/12.2075606

KEYWORDS: Tumors, Brain, Associative arrays, Data modeling, Magnetic resonance imaging, Neuroimaging, Binary data, Cancer, Solid modeling, Computer aided diagnosis and therapy

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Proceedings Article | 20 March 2015 Paper

Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI

Baishali Chaudhury, Mu Zhou, Dmitry Goldgof, Lawrence Hall, Robert Gatenby, Robert Gillies, Jennifer Drukteinis

Proceedings Volume 9414, 941415 (2015) https://doi.org/10.1117/12.2081386

KEYWORDS: Tumors, Lymphatic system, Breast, Image segmentation, Feature selection, Breast cancer, Feature extraction, Cancer, Surgery, Magnetic resonance imaging

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Proceedings Article | 20 March 2015 Paper

Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI

Mu Zhou, Lawrence Hall, Dmitry Goldgof, Robin Russo, Robert Gillies, Robert Gatenby

Proceedings Volume 9414, 94142H (2015) https://doi.org/10.1117/12.2075545

KEYWORDS: Tumors, Magnetic resonance imaging, Cancer, Brain, Brain cancer, Neuroimaging, Computer aided diagnosis and therapy, Blood, Radiotherapy, Visualization

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Proceedings Article | 20 March 2015 Paper

Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats

Hamidreza Farhidzadeh, Baishali Chaudhury, Mu Zhou, Dmitry Goldgof, Lawrence Hall, Robert Gatenby, Robert Gillies, Meera Raghavan

Proceedings Volume 9414, 94141U (2015) https://doi.org/10.1117/12.2082324

KEYWORDS: Tumors, Tissues, Image segmentation, Magnetic resonance imaging, Feature selection, Feature extraction, Blood vessels, Therapeutic agents, Diagnostics, Medical research

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Proceedings Article | 20 March 2014 Paper

Prediction of treatment response and metastatic disease in soft tissue sarcoma

Hamidreza Farhidzadeh, Mu Zhou, Dmitry Goldgof, Lawrence Hall, Meera. Raghavan, Robert Gatenby

Proceedings Volume 9035, 903518 (2014) https://doi.org/10.1117/12.2043792

KEYWORDS: Tumors, Tissues, Magnetic resonance imaging, Resonance enhancement, Image segmentation, Neodymium, Fuzzy logic, Diagnostics, Cancer, Magnetism

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Proceedings Article | 18 March 2014 Paper

New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis

Baishali Chaudhury, Lawrence Hall, Dmitry Goldgof, Robert Gatenby, Robert Gillies, Jennifer Drukteinis

Proceedings Volume 9035, 90351V (2014) https://doi.org/10.1117/12.2043188

KEYWORDS: Tumors, Breast, Magnetic resonance imaging, Feature selection, Breast cancer, Receptors, Blood circulation, Image segmentation, Feature extraction, Volume rendering

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Proceedings Article | 28 February 2013 Paper

Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement

Mu Zhou, Lawrence Hall, Dmitry Goldgof, Robert Gillies, Robert Gatenby

Proceedings Volume 8670, 86702O (2013) https://doi.org/10.1117/12.2007699

KEYWORDS: Tumors, Image segmentation, Magnetic resonance imaging, Distance measurement, Cancer, Therapeutics, Image processing, Brain, Blood circulation, Gadolinium

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Proceedings Article | 9 March 2011 Paper

Toward automated quantification of biological microstructures using unbiased stereology

Om Bonam, Daniel Elozory, Kurt Kramer, Dmitry Goldgof, Lawrence Hall, Osvaldo Mangual, Peter Mouton

Proceedings Volume 7963, 79633G (2011) https://doi.org/10.1117/12.878710

KEYWORDS: Image processing, Image segmentation, Tissues, Biological research, Computing systems, Microscopy, Quantitative analysis, Biomedical optics, Binary data, Tellurium

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Proceedings Article | 9 March 2011 Paper

Automatic location of microscopic focal planes for computerized stereology

Daniel Elozory, Om Pavithra Bonam, Kurt Kramer, Dmitry Goldgof, Lawrence Hall, Osvaldo Mangual, Peter Mouton

Proceedings Volume 7963, 79633C (2011) https://doi.org/10.1117/12.878776

KEYWORDS: Tissues, Computing systems, Natural surfaces, Tissue optics, Algorithm development, Microscopy, Biological research, Microscopes, Imaging systems, Digital filtering

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Proceedings Article | 29 April 2009 Paper

Autonomous buoy platform for low-cost visual maritime surveillance: design and initial deployment

Sergiy Fefilatyev, Dmitry Goldgof, Chad Lembke

Proceedings Volume 7317, 73170A (2009) https://doi.org/10.1117/12.818693

KEYWORDS: Detection and tracking algorithms, Cameras, Ocean optics, Video surveillance, Video, Visualization, Surveillance, Water, Telecommunications, Sensors

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Proceedings Article | 29 April 2009 Paper

Using color profiles for street detection in low-altitude UAV video

J. Candamo, R. Kasturi, D. Goldgof

Proceedings Volume 7307, 73070O (2009) https://doi.org/10.1117/12.818717

KEYWORDS: Unmanned aerial vehicles, Video, Video surveillance, Surveillance, Edge detection, Sensors, Detection and tracking algorithms, Video compression, Roads, Cameras

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Proceedings Article | 28 February 2009 Paper

Automated registration and quantification of biophotonic mouse images using a whole body atlas

Michael Soria, Steven Eschrich, Dmitry Goldgof

Proceedings Volume 7262, 72620Y (2009) https://doi.org/10.1117/12.812936

KEYWORDS: Image registration, Photography, Image segmentation, Photon counting, Biomedical optics, Cancer, Imaging systems, Binary data, 3D image processing, Tumors

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Proceedings Article | 19 March 2008 Paper

Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images

Xuejun Sun, Dmitry Goldgof, Walker Land

Proceedings Volume 6914, 69143X (2008) https://doi.org/10.1117/12.770711

KEYWORDS: Image segmentation, Breast, Mammography, X-rays, X-ray imaging, Edge detection, Fuzzy logic, Digital mammography, Algorithm development, Medical imaging

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Proceedings Article | 17 March 2008 Paper

Towards registration of temporal mammograms by finite element simulation of MR breast volumes

Yan Qiu, Xuejun Sun, Vasant Manohar, Dmitry Goldgof

Proceedings Volume 6918, 69182F (2008) https://doi.org/10.1117/12.770547

KEYWORDS: Breast, 3D modeling, Mammography, Finite element methods, Data modeling, Magnetic resonance imaging, Chemical elements, Computer simulations, 3D acquisition, Tissues

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Proceedings Article | 15 October 2007 Paper

Toward detection of marine vehicles on horizon from buoy camera

Sergiy Fefilatyev, Dmitry Goldgof, Lawrence Langebrake

Proceedings Volume 6736, 67360O (2007) https://doi.org/10.1117/12.747512

KEYWORDS: Ocean optics, Detection and tracking algorithms, Cameras, Computing systems, Expectation maximization algorithms, Edge detection, Sensors, Imaging systems, Image processing, Image segmentation

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Proceedings Article | 8 October 2007 Paper

A baseline algorithm for face detection and tracking in video

Vasant Manohar, Padmanabhan Soundararajan, Valentina Korzhova, Matthew Boonstra, Dmitry Goldgof, Rangachar Kasturi

Proceedings Volume 6741, 674109 (2007) https://doi.org/10.1117/12.739510

KEYWORDS: Detection and tracking algorithms, Facial recognition systems, Algorithm development, Video, Statistical analysis, Machine vision, Computer vision technology, Image processing, Sensors, Image processing algorithms and systems

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Proceedings Article | 9 May 2006 Paper

Vision-based on-board collision avoidance system for aircraft navigation

Joshua Candamo, Rangachar Kasturi, Dmitry Goldgof, Sudeep Sarkar

Proceedings Volume 6230, 62300X (2006) https://doi.org/10.1117/12.668925

KEYWORDS: Edge detection, Image classification, Video, Visualization, Sensors, Image processing, Collision avoidance, Navigation systems, Classification systems, Motion estimation

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Proceedings Article | 12 May 2004 Paper

Three-dimensional finite element model for lesion correspondence in breast imaging

Yan Qiu, Lihua Li, Dmitry Goldgof, Sudeep Sarkar, Sorin Anton, Robert Clark

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535719

KEYWORDS: 3D modeling, Breast, Finite element methods, Mammography, Magnetic resonance imaging, 3D image processing, X-rays, Mathematical modeling, Tissues, X-ray imaging

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Proceedings Article | 15 May 2003 Paper

Classification of masses on mammograms using support vector machine

Yong Chu, Lihua Li, Dmitry Goldgof, Yan Qui, Robert Clark

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481142

KEYWORDS: Mammography, Tumors, Cancer, Breast cancer, Breast, Feature extraction, Radiology, Image classification, Biopsy, Receivers

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Proceedings Article | 24 June 1998 Paper

Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images

Lynn Fletcher-Heath, Lawrence Hall, Dmitry Goldgof

Proceedings Volume 3338, (1998) https://doi.org/10.1117/12.310939

KEYWORDS: Tumors, Image segmentation, Tissues, Brain, Magnetic resonance imaging, Neuroimaging, Image processing, Magnetism, Binary data, Head

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Proceedings Article | 24 June 1998 Paper

Automatic brain tumor segmentation

Matthew Clark, Lawrence Hall, Dmitry Goldgof, Robert Velthuizen, F. Murtaugh, Martin Silbiger

Proceedings Volume 3338, (1998) https://doi.org/10.1117/12.310932

KEYWORDS: Tumors, Image segmentation, Brain, Tissues, Photomasks, Neuroimaging, Magnetism, Magnetic resonance imaging, Pathology, Gadolinium

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Proceedings Article | 8 April 1996 Paper

Toward fully automated analysis of tagged and nontagged MR cardiac images

Senthil Kumar, Tai Cheng, Jonathan Adair, Agusto Sellhorn, Dmitry Goldgof, Satish Tadikonda, Dominique Freeman

Proceedings Volume 2709, (1996) https://doi.org/10.1117/12.237879

KEYWORDS: Sensors, 3D modeling, Magnetic resonance imaging, Edge detection, Spherical lenses, Fuzzy logic, Detection and tracking algorithms, Image processing, Image sensors, Data centers

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Proceedings Article | 1 May 1994 Paper

Utilizing fuzzy c-Shells for automatic approximate LV location for initialization of myocardial structure and function analysis algorthms

Hsiao-Kun Tu, Dmitry Goldgof, Eric Backer

Proceedings Volume 2168, (1994) https://doi.org/10.1117/12.174394

KEYWORDS: Fuzzy logic, Magnetic resonance imaging, Detection and tracking algorithms, Spherical lenses, Heart, Prototyping, Blood, Edge detection, Image segmentation, Magnetism

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Proceedings Article | 29 July 1993 Paper

Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images

Senthil Kumar, Dmitry Goldgof

Proceedings Volume 1905, (1993) https://doi.org/10.1117/12.148634

KEYWORDS: Magnetic resonance imaging, Detection and tracking algorithms, Automatic tracking, Motion estimation, Motion models, Modulation, Image processing, Heart, Optical flow, Image analysis

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Proceedings Article | 29 July 1993 Paper

Left-ventricular boundary detection from spatiotemporal volumetric CT images

Hsiao-Kun Tu, Art Matheny, Dmitry Goldgof

Proceedings Volume 1905, (1993) https://doi.org/10.1117/12.148681

KEYWORDS: Spherical lenses, Edge detection, Heart, Model-based design, Computed tomography, 3D image processing, Data modeling, Error analysis, 3D modeling, Solids

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Proceedings Article | 29 July 1993 Paper

Knowledge-based classification and tissue labeling of magnetic resonance images of human brain

ChunLin Li, Lawrence Hall, Dmitry Goldgof

Proceedings Volume 1905, (1993) https://doi.org/10.1117/12.148667

KEYWORDS: Tissues, Tumors, Brain, Skull, Neuroimaging, Image segmentation, Binary data, Image classification, Magnetism, Data modeling

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Proceedings Article | 23 June 1993 Paper

Nonrigid motion analysis using nonlinear finite element modeling

Wen-Chen Huang, Dmitry Goldgof

Proceedings Volume 2031, (1993) https://doi.org/10.1117/12.146643

KEYWORDS: Finite element methods, Motion analysis, Motion models, Machine vision, Computer vision technology, 3D modeling, Visual process modeling, Chemical elements, Motion estimation, Data modeling

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Proceedings Article | 1 November 1992 Paper

Extracting known and inferred shape information from a single view

Adam Hoover, Dmitry Goldgof, Kevin Bowyer

Proceedings Volume 1828, (1992) https://doi.org/10.1117/12.131632

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Proceedings Article | 26 June 1992 Paper

Left-ventricle motion modeling and analysis by adaptive-size physically-based models

Wen-Chen Huang, Dmitry Goldgof

Proceedings Volume 1660, (1992) https://doi.org/10.1117/12.59560

KEYWORDS: Data modeling, 3D modeling, Motion models, 3D image processing, Motion analysis, Heart, Biomedical optics, Image processing, Microscopy, Error analysis

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Proceedings Article | 26 June 1992 Paper

Left-ventricle wall motion tracking using curvature properties

Kambhamettu Chandra, Dmitry Goldgof

Proceedings Volume 1660, (1992) https://doi.org/10.1117/12.59561

KEYWORDS: 3D image processing, Motion estimation, Image processing, Heart, Biomedical optics, Microscopy, Motion analysis, Motion models, 3D modeling, Error analysis

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Proceedings Article | 1 March 1992 Paper

Sampling and surface reconstruction with adaptive-size meshes

Wen-Chen Huang, Dmitry Goldgof

Proceedings Volume 1708, (1992) https://doi.org/10.1117/12.58618

KEYWORDS: Data modeling, Visual process modeling, 3D modeling, Machine vision, Computed tomography, Robotics, Artificial intelligence, Reconstruction algorithms, Finite element methods, Error analysis

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Proceedings Article | 1 July 1991 Paper

Application of the nonrigid shape matching algorithm to volumetric cardiac images

Dmitry Goldgof, Kambhamettu Chandra

Proceedings Volume 1450, (1991) https://doi.org/10.1117/12.44302

KEYWORDS: Motion estimation, Heart, Image processing, Biomedical optics, Error analysis, Computer simulations, Motion analysis, Detection and tracking algorithms, Computed tomography, Visualization

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Proceedings Article | 1 July 1991 Paper

Extracting local stretching from left ventricle angiography data

Sanjoy Mishra, Dmitry Goldgof

Proceedings Volume 1450, (1991) https://doi.org/10.1117/12.44298

KEYWORDS: Heart, Image processing, Biomedical optics, Motion analysis, Angiography, Complex systems, Arteries, Motion estimation, Reconstruction algorithms, 3D image processing

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Proceedings Article | 1 April 1991 Paper

Motion estimation without correspondences and object tracking over long time sequences

Dmitry Goldgof, Hua Lee, Thomas Huang

Proceedings Volume 1383, (1991) https://doi.org/10.1117/12.25249

KEYWORDS: Motion estimation, Matrices, Sensor fusion, Algorithm development, Detection and tracking algorithms, Computer engineering, Computer simulations, Computer science, Motion analysis, Machine vision

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Proceedings Article | 1 March 1991 Paper

Toward computing the aspect graph of deformable generalized cylinders

Belinda Wilkins, Dmitry Goldgof, Kevin Bowyer

Proceedings Volume 1468, (1991) https://doi.org/10.1117/12.45507

KEYWORDS: Spine, 3D modeling, Artificial intelligence, Visualization, 3D vision, Algorithm development, Visual process modeling, Visibility, Computer science, Computer engineering

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Proceedings Article | 1 May 1990 Paper

Extracting motion parameters from the left ventricle angiography data

Dmitry Goldgof, Hua Lee, Thomas Huang

Proceedings Volume 1245, (1990) https://doi.org/10.1117/12.19552

KEYWORDS: Angiography, Reconstruction algorithms, Image processing, Heart, Motion analysis, Biomedical optics, Data modeling, 3D image processing, Motion models, Computer engineering

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Proceedings Article | 1 January 1990 Paper

Motion estimation from points without correspondences from scaled orthographic projections

Dmitry Goldgof

Proceedings Volume 1260, (1990) https://doi.org/10.1117/12.20005

KEYWORDS: Motion estimation, Silicon, Matrices, Cameras, Algorithm development, 3D surface sensing, Computer science, Computer engineering, Machine vision, Computer vision technology

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