Dr. Bappaditya Ray Profile

Dr. Bappaditya Ray

at Univ of Texas Southwestern Medical Ctr at Dallas

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Publications (4)

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 | 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 | 13 March 2017 Presentation + Paper

Implementation of a computer-aided detection tool for quantification of intracranial radiologic markers on brain CT images

Faranak Aghaei, Stephen Ross, Yunzhi Wang, Dee Wu, Benjamin Cornwell, Bappaditya Ray, Bin Zheng

Proceedings Volume 10138, 1013805 (2017) https://doi.org/10.1117/12.2254094

KEYWORDS: Brain, Image segmentation, Computed tomography, Blood, Computer-aided diagnosis, Computer aided diagnosis and therapy, Skull, Image processing algorithms and systems, Tissues, Image processing, Visualization

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