Dr. Gopichandh Danala Profile

Dr. Gopichandh Danala

Graduate Research Assistant at Univ of Oklahoma

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Author

Publications (25)

Proceedings Article | 2 April 2024 Presentation + Paper

Evaluation of deep learning frameworks coupled with an interactive user interface to predict clinical complications after aneurysmal subarachnoid hemorrhage

Rowzat Faiz, Gopichandh Danala, Bappaditya Ray, Warid Islam, David Ebert

Proceedings Volume 12930, 129300U (2024) https://doi.org/10.1117/12.3006983

KEYWORDS: Data modeling, Computed tomography, Performance modeling, Blood, Feature extraction, Deep learning, Process modeling, Image classification, Deep convolutional neural networks

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Proceedings Article | 4 April 2022 Presentation + Paper

Developing interactive computer-aided detection tools to support translational clinical research

Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith Jones, Tiancheng Gai, Sai Kiran Maryada, Dee Wu, Yuchen Qiu, Bin Zheng

Proceedings Volume 12035, 1203503 (2022) https://doi.org/10.1117/12.2607273

KEYWORDS: Image segmentation, Computer aided diagnosis and therapy, Brain, Artificial intelligence, Medical imaging, Clinical research, Neuroimaging, Computer aided design, Computed tomography, Visualization

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Proceedings Article | 4 April 2022 Poster + Paper

Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study

Gopichandh Danala, Sai Kiran Maryada, Huong Pham, Warid Islam, Meredith Jones, Bin Zheng

Proceedings Volume 12035, 120350U (2022) https://doi.org/10.1117/12.2611886

KEYWORDS: Performance modeling, Breast, Image segmentation, Solid modeling, Computer aided diagnosis and therapy, Tumor growth modeling, Computer aided design, Image classification, Medical imaging, Wavelets

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Proceedings Article | 4 April 2022 Poster + Paper

Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients

Huong Pham, Meredith Jones, Tiancheng Gai, Warid Islam, Gopichandh Danala, Javier Jo, Bin Zheng

Proceedings Volume 12033, 120331K (2022) https://doi.org/10.1117/12.2611788

KEYWORDS: Tumors, Computed tomography, Cancer, Image segmentation, Machine learning, Solid modeling, Computer aided diagnosis and therapy, Tumor growth modeling, Feature extraction, Image fusion

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Proceedings Article | 4 April 2022 Presentation + Paper

Improving the performance of computer-aided classification of breast lesions using a new feature fusion method

Warid Islam, Gopichandh Danala, Huong Pham, Bin Zheng

Proceedings Volume 12033, 120330E (2022) https://doi.org/10.1117/12.2611841

KEYWORDS: Image segmentation, Image fusion, Computer aided diagnosis and therapy, Feature extraction, Breast, Performance modeling, Mammography

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Proceedings Article | 4 April 2022 Presentation + Paper

Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images

Sai Kiran Reddy Maryada, William Lee Booker, Gopichandh Danala, Catherine An Ha, Sanjana Mudduluru, Dean Hougen, Bin Zheng

Proceedings Volume 12033, 120330K (2022) https://doi.org/10.1117/12.2611565

KEYWORDS: Performance modeling, Data modeling, Solid modeling, Photography, Computer aided diagnosis and therapy, Artificial intelligence, Systems modeling, Medical imaging, Imaging informatics, Visualization

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Proceedings Article | 15 February 2021 Presentation + Paper

An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage

Gopichandh Danala, Masoom Desai, Sama Astani, Bahram Rabbani, Jorge Ortiz-Garcia, Bin Zheng

Proceedings Volume 11600, 1160005 (2021) https://doi.org/10.1117/12.2580977

KEYWORDS: Computer-aided diagnosis, Image segmentation, Computed tomography, Neurology, Neuroimaging, Brain, Data analysis

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Proceedings Article | 15 February 2021 Presentation + Paper

An optimal machine learning model for breast lesion classification based on random projection algorithm for feature optimization

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Hung Pham, Sivaramakrishnan Lakshmivarahan, Bin Zheng

Proceedings Volume 11601, 116010L (2021) https://doi.org/10.1117/12.2580944

KEYWORDS: Machine learning, Tumor growth modeling, Optimization (mathematics), Breast, Performance modeling, Solid modeling, Principal component analysis, Medical imaging, Mammography, Data modeling

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Proceedings Article | 15 February 2021 Presentation + Paper

Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng

Proceedings Volume 11597, 115970V (2021) https://doi.org/10.1117/12.2580948

KEYWORDS: X-rays, X-ray imaging, Computer aided diagnosis and therapy, Chest imaging, Solid modeling, Radiography, Evolutionary algorithms, Convolutional neural networks, Computer-aided diagnosis, Chest

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Proceedings Article | 15 February 2021 Poster + Paper

Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage

Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng

Proceedings Volume 11597, 115972Z (2021) https://doi.org/10.1117/12.2580976

KEYWORDS: Computed tomography, Image segmentation, Computer aided diagnosis and therapy, Neuroimaging, Machine learning, Cognitive modeling, Brain, Blood, Solid modeling, Performance modeling

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

A novel feature reduction method to improve performance of machine learning model

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng

Proceedings Volume 11597, 1159726 (2021) https://doi.org/10.1117/12.2580732

KEYWORDS: Image segmentation, Cancer, Principal component analysis, Tumors, Computed tomography, Computer aided diagnosis and therapy, Solid modeling, Machine learning, Performance modeling, Feature selection

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Proceedings Article | 2 March 2020 Paper

A new case-based CAD scheme using a hierarchical SSIM feature extraction method to classify between malignant and benign cases

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Yuchen Qiu, Bin Zheng

Proceedings Volume 11318, 1131816 (2020) https://doi.org/10.1117/12.2549130

KEYWORDS: Mammography, Computer aided diagnosis and therapy, Feature extraction, Breast, Image segmentation, Image analysis, Cancer, Chest, Computer aided design, Tumor growth modeling

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Proceedings Article | 28 February 2020 Paper

A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke

Gopichandh Danala, Sai Kiran Reddy Maryada, Morteza Heidari, Bappaditya Ray, Masoom Desai, Bin Zheng

Proceedings Volume 11317, 113171V (2020) https://doi.org/10.1117/12.2549614

KEYWORDS: Brain, Blood, Image segmentation, Visualization, Artificial intelligence, Blood circulation, Neuroimaging, Computer aided design, Ischemic stroke, Computed tomography

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Proceedings Article | 15 March 2019 Presentation + Paper

Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue “at risk” for developing acute ischemic stroke

Gopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng

Proceedings Volume 10953, 109530M (2019) https://doi.org/10.1117/12.2512850

KEYWORDS: Brain, Image segmentation, Neuroimaging, Image analysis, Visualization, Artificial intelligence, Blood, Computer aided design, Blood circulation, Tissues

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Proceedings Article | 15 March 2019 Paper

Assessment of short-term breast cancer risk using a frequency domain correlation based imaging marker

Morteza Heidari, Alan Hollingsworth, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Yuchen Qiu, Hong Liu, Bin Zheng

Proceedings Volume 10954, 109541F (2019) https://doi.org/10.1117/12.2512236

KEYWORDS: Mammography, Breast cancer, Cancer, Feature extraction, Machine learning, Breast, Tumor growth modeling, Performance modeling, Computer aided diagnosis and therapy, Image fusion

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Proceedings Article | 15 March 2019 Paper

Developing a quantitative ultrasound image feature analysis scheme to assess tumor treatment efficacy using a mouse model

Seyedehnafiseh Mirniaharikandehei, Joshua VanOsdol, Morteza Heidari, Gopichandh Danala, Ashish Ranjan, Bin Zheng

Proceedings Volume 10955, 109551A (2019) https://doi.org/10.1117/12.2512581

KEYWORDS: Tumors, Ultrasonography, Image segmentation, Feature extraction, Image analysis, Computer aided design, Image fusion, Cancer, Mouse models, Computer aided diagnosis and therapy

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Proceedings Article | 13 March 2019 Presentation + Paper

Association of computer-aided detection results and breast cancer risk

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng

Proceedings Volume 10950, 109500I (2019) https://doi.org/10.1117/12.2512585

KEYWORDS: Mammography, Computer aided diagnosis and therapy, Computer aided design, Image fusion, Cancer, Computer-aided diagnosis, Breast cancer, Breast, Solid modeling, Image processing

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Proceedings Article | 6 March 2018 Presentation + Paper

Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk

Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Wei Qian, Bin Zheng

Proceedings Volume 10579, 105790T (2018) https://doi.org/10.1117/12.2291524

KEYWORDS: Machine learning, Breast cancer, Tumor growth modeling, Cancer, Mammography, Breast, Image segmentation, Data modeling, Tissues, Feature extraction

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Proceedings Article | 27 February 2018 Presentation + Paper

Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme

Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu , Bin Zheng

Proceedings Volume 10575, 105750P (2018) https://doi.org/10.1117/12.2293361

KEYWORDS: Breast cancer, Image segmentation, Breast, Cancer, Tissues, Mammography, Feature extraction, Tumor growth modeling, Solid modeling, X-ray technology

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Proceedings Article | 27 February 2018 Paper

Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions

Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng

Proceedings Volume 10575, 105752L (2018) https://doi.org/10.1117/12.2293171

KEYWORDS: Image segmentation, Breast, Computer aided design, Feature extraction, Image fusion, Mammography, Tumors, Computer aided diagnosis and therapy, Optimization (mathematics), Breast cancer

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Proceedings Article | 27 February 2018 Paper

Computer-aided classification of breast masses using contrast-enhanced digital mammograms

Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng

Proceedings Volume 10575, 105752K (2018) https://doi.org/10.1117/12.2293136

KEYWORDS: Image segmentation, Breast, Mammography, Computer aided diagnosis and therapy, Computer aided design, Image classification, Tumors, Tissues, Digital mammography, Image acquisition, Image contrast enhancement

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Proceedings Article | 27 February 2018 Paper

Applying a new mammographic imaging marker to predict breast cancer risk

Faranak Aghaei, Gopichandh Danala, Alan Hollingsworth, Rebecca Stoug, Melanie Pearce, Hong Liu, Bin Zheng

Proceedings Volume 10575, 105753N (2018) https://doi.org/10.1117/12.2287556

KEYWORDS: Breast cancer, Mammography, Breast, Computer aided diagnosis and therapy, Cancer, Tumor growth modeling, Tissues, Chest, Image segmentation

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Proceedings Article | 27 February 2018 Paper

Association between mammogram density and background parenchymal enhancement of breast MRI

Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng

Proceedings Volume 10575, 105752O (2018) https://doi.org/10.1117/12.2293377

KEYWORDS: Breast, Magnetic resonance imaging, Mammography, Breast cancer, Cancer, Computer aided diagnosis and therapy, Image segmentation, Image enhancement, Machine learning

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Proceedings Article | 3 March 2017 Paper

Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study

Gopichandh Danala, Yunzhi Wang, Theresa Thai, Camille Gunderson, Katherine Moxley, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10134, 1013449 (2017) https://doi.org/10.1117/12.2254089

KEYWORDS: Ovarian cancer, Computer aided diagnosis and therapy, Computed tomography, Tumors, Wavelets, Cancer, Image fusion, Medical imaging

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Proceedings Article | 20 February 2017 Paper

Improving efficacy of metastatic tumor segmentation to facilitate early prediction of ovarian cancer patients' response to chemotherapy

Gopichandh Danala, Yunzhi Wang, Theresa Thai, Camille Gunderson, Katherine Moxley, Kathleen Moore, Robert Mannel, Samuel Cheng, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10065, 100650J (2017) https://doi.org/10.1117/12.2250978

KEYWORDS: Image segmentation, Ovarian cancer, Image analysis, Image processing algorithms and systems, Computer-aided diagnosis, Tumors, Detection and tracking algorithms, Algorithm development, Sensors, Computed tomography

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Showing 5 of 25 publications

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