Now showing items 1-3 of 3

    • Compressive hyperspectral single-pixel imaging for lifetime imaging and tomography applications 

      Ochoa, Marien I. (Rensselaer Polytechnic Institute, Troy, NY, 2022-08)
      The present document summarizes the overall goal, specific objectives, preliminary results,current conclusions as well as the future aims to be addressed for completion of a PhD degree in Biomedical Engineering and is ...
    • Deep neural networks for mri applications 

      Lyu, Qing (Rensselaer Polytechnic Institute, Troy, NY, 2022-05)
      Magnetic resonance imaging (MRI) has been widely used for clinical disease diagnosis and neuroscience research since its invention. Compared with other commonly used medical imaging modalities like computed tomography and ...
    • Semantically enabled medical image understanding 

      Agu, Nkechinyere Nneka (Rensselaer Polytechnic Institute, Troy, NY, 2022-08)
      Medical imaging examination is the most common form of routine medical analysis, which involves several stages of reasoning and careful analysis to reach a final decision by the radiologist. Most deep learning frameworks ...