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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 \(2\) ...
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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...
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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...