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Streaming scratchpad memory organization for video applications., , , , , and . Circuits, Signals, and Systems, page 427-432. IASTED/ACTA Press, (2004)Federated Learning for Site Aware Chest Radiograph Screening., , , and . ISBI, page 1077-1081. IEEE, (2021)Designing Deep Neural High-Density Compression Engines for Radiology Images., , , , and . Circuits Syst. Signal Process., 42 (2): 643-682 (February 2023)Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation., , , and . ICME Workshops, page 482-485. IEEE, (2023)Towards an efficient high quality picture-rate up-converter., , , and . ICIP (2), page 363-366. IEEE, (2003)Algorithm/architecture co-design of the generalized sampling theorem based de-interlacer video signal processing., , , and . ISCAS (3), page 2943-2946. IEEE, (2005)C-HEAP: A Heterogeneous Multi-Processor Architecture Template and Scalable and Flexible Protocol for the Design of Embedded Signal Processing Systems., , , , , , , and . Des. Autom. Embed. Syst., 7 (3): 233-270 (2002)Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain., , , , , and . ICVGIP, page 55:1-55:8. ACM, (2018)Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network., , and . ISBI, page 1780-1783. IEEE, (2020)Low-Cost Super-Resolution Algorithms Implementation Over a HW/SW Video Compression Platform., , , , , , and . EURASIP J. Adv. Signal Process., (2006)