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  1. No Access

    Chapter and Conference Paper

    DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

    Modern neural networks use building blocks such as convolutions that are equivariant to arbitrary \(2\) ...

    Abhinav Kumar, Garrick Brazil, Enrique Corona… in Computer Vision – ECCV 2022 (2022)

  2. No Access

    Chapter

    Information Theoretic Clustering for Medical Image Segmentation

    Analysis of medical images involves robust computational approaches to various optimization problems prior to interpretation of the embedded pathological changes. Major computational efforts are essential in u...

    Jason Hill, Enrique Corona, **gqi Ao… in Advanced Computational Approaches to Biome… (2014)

  3. No Access

    Article

    Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding

    Many common modalities of medical images acquire high-resolution and multispectral images, which are subsequently processed, visualized, and transmitted by subsampling. These subsampled images compromise resol...

    Shuyu Yang, Sunanda Mitra, Enrique Corona… in EURASIP Journal on Advances in Signal Proc… (2003)