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, an endo-surgery center, and more. CT Technologist - 3D and Advanced Image Processing (PRN) Location: Duke University Hospital – Multi-Dimensional Image Processing Laboratory 2424 Erwin Road, Suite 402
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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work
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in this role? The Image Guided Surgery Technician III (IGS Tech III) is under the supervision of the Image Guided Surgery Lead. The Image Guided Technician III performs at an advanced level and may
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301.975.4579 Description As the demand for high resolution, high content imaging increases, the cost and challenges of acquiring, storing, processing, and analyzing today’s very large imaging data sets are even
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in the future without them changing during observation. This project will use extensive mathematical processing of large sparse datasets, both simulated and experimental, to reconstruct image details
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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imaging (MRI). The Computational Biomedical Imaging Group (CBIG) pursues research on the development of new algorithms for the reconstruction and post-processing of medical and biological images. Active
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 22 hours ago
scanner to obtain images for use by physicians in the diagnosis and treatment of pathologies. Transfers, positions, and instructs patients regarding the procedure. Selects appropriate imaging techniques
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed