IEEE

3-D Imaging in MIMO-ISAR Using Sparse Bayesian Learning With Space-Time Adaptive Dimensionality Reduction

Abstract: Multiple-input–multiple-output inverse synthetic aperture radar (MIMO-ISAR) is widely used in three-dimensional (3-D) imaging due to its excellent angular resolution. After range compression ...
IEEE

3-D Reconstruction of Vertebrae From Sparse 2-D CT Data Using Conditional GANs and Transfer Learning

Abstract: A three dimensional reconstruction of vertebrae from CT Scans is necessary for surgical planning, medical teaching and diagnosis. Traditional methods are computationally expensive, while ...