Dr. Daekeun You Profile

Dr. Daekeun You

Senior software developer at Michigan Medicine

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Publications (10)

SPIE Journal Paper | 15 November 2017

Tumor image signatures and habitats: a processing pipeline of multimodality metabolic and physiological images

Daekeun You, Michelle Kim, Madhava Aryal, Hemant Parmar, Morand Piert, Theodore Lawrence, Yue Cao

JMI, Vol. 5, Issue 01, 011009, (November 2017) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.011009

KEYWORDS: Tumors, Image processing, Diffusion weighted imaging, Magnetic resonance imaging, Positron emission tomography, Gadolinium, Genomics, Biological research, Scanners, Image analysis

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Proceedings Article | 17 March 2015 Paper

Extraction of endoscopic images for biomedical figure classification

Zhiyun Xue, Daekeun You, Suchet Chachra, Sameer Antani, L. Long, Dina Demner-Fushman, George Thoma

Proceedings Volume 9418, 94180P (2015) https://doi.org/10.1117/12.2081033

KEYWORDS: Endoscopy, Tissues, Feature extraction, Photography, Image filtering, Biomedical optics, Tissue optics, Image classification, Visualization, Binary data

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Proceedings Article | 24 March 2014 Paper

A contour-based shape descriptor for biomedical image classification and retrieval

Daekeun You, Sameer Antani, Dina Demner-Fushman, George Thoma

Proceedings Volume 9021, 90210L (2014) https://doi.org/10.1117/12.2042526

KEYWORDS: Shape analysis, Feature extraction, Image retrieval, Biomedical optics, Visualization, Edge detection, Binary data, Radiology, Magnetic resonance imaging, Optical character recognition

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Proceedings Article | 19 March 2014 Paper

Classification of visual signs in abdominal CT image figures in biomedical literature

Zhiyun Xue, Daekeun You, Sameer Antani, L. Rodney Long, Dina Demner-Fushman, George Thoma

Proceedings Volume 9039, 90390L (2014) https://doi.org/10.1117/12.2043045

KEYWORDS: Visualization, Feature extraction, Radiology, Biomedical optics, Computed tomography, Image segmentation, Medical imaging, Feature selection, Image classification, Image quality

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Proceedings Article | 29 March 2013 Paper

Text- and content-based biomedical image modality classification

Daekeun You, Md Mahmudur Rahman, Sameer Antani, Dina Demner-Fushman, George Thoma

Proceedings Volume 8674, 86740L (2013) https://doi.org/10.1117/12.2007932

KEYWORDS: Visualization, Feature extraction, Image retrieval, Biomedical optics, Medical imaging, Feature selection, Image classification, Radiology, X-rays, Ultrasonography

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Proceedings Article | 4 February 2013 Paper

Annotating image ROIs with text descriptions for multimodal biomedical document retrieval

Daekeun You, Matthew Simpson, Sameer Antani, Dina Demner-Fushman, George Thoma

Proceedings Volume 8658, 86580D (2013) https://doi.org/10.1117/12.2005937

KEYWORDS: Visualization, Detection and tracking algorithms, Image retrieval, Biomedical optics, Image processing, Algorithm development, Neodymium, Feature extraction, Computed tomography, Signal attenuation

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Proceedings Article | 4 February 2013 Paper

A robust pointer segmentation in biomedical images toward building a visual ontology for biomedical article retrieval

Daekeun You, Matthew Simpson, Sameer Antani, Dina Demner-Fushman, George Thoma

Proceedings Volume 8658, 86580Q (2013) https://doi.org/10.1117/12.2005934

KEYWORDS: Image segmentation, Biomedical optics, Edge detection, Detection and tracking algorithms, Visualization, Algorithm development, Image processing algorithms and systems, Medical research, Neodymium, Solids

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Proceedings Article | 24 January 2011 Paper

Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval

Daekeun You, Sameer Antani, Dina Demner-Fushman, Md Mahmudur Rahman, Venu Govindaraju, George Thoma

Proceedings Volume 7874, 78740K (2011) https://doi.org/10.1117/12.873434

KEYWORDS: Image retrieval, Biomedical optics, Feature extraction, Image segmentation, Visualization, Edge detection, Magnetorheological finishing, Ions, Neodymium, Medicine

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Proceedings Article | 18 January 2010 Paper

Biomedical article retrieval using multimodal features and image annotations in region-based CBIR

Daekeun You, Sameer Antani, Dina Demner-Fushman, Md Mahmudur Rahman, Venu Govindaraju, George Thoma

Proceedings Volume 7534, 75340V (2010) https://doi.org/10.1117/12.838973

KEYWORDS: Image retrieval, Biomedical optics, Image segmentation, Feature extraction, Magnetorheological finishing, Detection and tracking algorithms, Medicine, Medical imaging, Image processing, Visualization

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Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for instructional purposes or in support of clinical decisions appear in specialized databases and in biomedical articles, and are often not easily accessible to retrieval tools. Our goal is to automatically annotate images extracted from scientific publications with respect to their usefulness for clinical decision support and instructional purposes, and project the annotations onto images stored in databases by linking images through content-based image similarity. Authors often use text labels and pointers overlaid on figures and illustrations in the articles to highlight regions of interest (ROI). These annotations are then referenced in the caption text or figure citations in the article text. In previous research we have developed two methods (a heuristic and dynamic time warping-based methods) for localizing and recognizing such pointers on biomedical images. In this work, we add robustness to our previous efforts by using a machine learning based approach to localizing and recognizing the pointers. Identifying these can assist in extracting relevant image content at regions within the image that are likely to be highly relevant to the discussion in the article text. Image regions can then be annotated using biomedical concepts from extracted snippets of text pertaining to images in scientific biomedical articles that are identified using National Library of Medicine's Unified Medical Language System® (UMLS) Metathesaurus. The resulting regional annotation and extracted image content are then used as indices for biomedical article retrieval using the multimodal features and region-based content-based image retrieval (CBIR) techniques. The hypothesis that such an approach would improve biomedical document retrieval is validated through experiments on an expert-marked biomedical article dataset.

Proceedings Article | 19 January 2009 Paper

Figure content analysis for improved biomedical article retrieval

Daekeun You, Emilia Apostolova, Sameer Antani, Dina Demner-Fushman, George Thoma

Proceedings Volume 7247, 72470V (2009) https://doi.org/10.1117/12.805976

KEYWORDS: Biomedical optics, Image segmentation, Feature extraction, Algorithm development, Medicine, Cadmium sulfide, Image processing, Head, Data mining, Image processing algorithms and systems

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Showing 5 of 10 publications

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