N
Nikita Orlov
Researcher at National Institutes of Health
Publications - 44
Citations - 1631
Nikita Orlov is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Scattering & Light scattering. The author has an hindex of 15, co-authored 41 publications receiving 1457 citations. Previous affiliations of Nikita Orlov include Moscow State University.
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WND-CHARM: Multi-purpose image classification using compound image transforms
TL;DR: A multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet provide classification accuracy comparable to state-of-the-art task-specific image classifiers.
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Wndchrm – an open source utility for biological image analysis
TL;DR: Using wndchrm can allow scientists to perform automated biological image analysis while avoiding the costly challenge of implementing computer vision and pattern recognition algorithms.
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Knee X-Ray Image Analysis Method for Automated Detection of Osteoarthritis
Lior Shamir,Shari M. Ling,William W. Scott,Angelo Jose Goncalves Bos,Nikita Orlov,Tomasz Macura,David Mark Eckley,Luigi Ferrucci,Ilya G. Goldberg +8 more
TL;DR: Experimental results show that moderate OA and minimal OA can be differentiated from normal cases with accuracy of 91.5% and 80.4%, respectively.
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Impressionism, expressionism, surrealism: Automated recognition of painters and schools of art
TL;DR: A method for automated recognition of painters and schools of art based on their signature styles is described and its ability to automatically associate different artists that share the same school of art in an unsupervised fashion is described.
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Pattern Recognition Software and Techniques for Biological Image Analysis
TL;DR: A brief overview of the technologies behind pattern recognition and its use in computer vision for biological and biomedical imaging is provided and practical experimental considerations to make the best use of pattern recognition techniques for imaging assays are suggested.