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A survey on deep learning in medical image …

    https://www.sciencedirect.com/science/article/pii/S2667102621000061

    A survey on deep learning in medical image reconstruction

      https://mednexus.org/doi/full/10.1016/j.imed.2021.03.003
      Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its …

    Deep learning for biomedical image reconstruction: a …

      https://link.springer.com/article/10.1007/s10462-020-09861-2
      Figure 1 provides an illustration of the reconstruction problem and shows a typical data flow in a medical imaging system. Over the past few years, researchers have …

    A Review on Deep Learning in Medical Image …

      https://link.springer.com/article/10.1007/s40305-019-00287-4
      Medical imaging is crucial in modern clinics to provide guidance to the diagnosis and treatment of diseases. Medical image reconstruction is one of the most …

    EE369C: Medical Image Reconstruction - Stanford …

      https://web.stanford.edu/class/ee369c/
      Image reconstruction methods are central to many of the new applications of medical imaging. This course will provide an introduction these techniques in a …

    Image Reconstruction Techniques | Image Wisely

      https://www.imagewisely.org/Imaging-Modalities/Computed-Tomography/Image-Reconstruction-Techniques
      Reconstructions that improve image quality can be translated into a reduction of radiation dose because images of the same quality can be reconstructed at lower dose. Two …

    Deep learning in MRI beyond segmentation: …

      https://theaisummer.com/mri-beyond-segmentation/
      Medical Image Reconstruction with deep learning. One of the first works that employed deep learning in the reconstruction process was by Schlemper et al. …

    Human Health Campus - 3D image …

      https://humanhealth.iaea.org/HHW/MedicalPhysics/NuclearMedicine/ImageAnalysis/3Dimagereconstruction/index.html
      Reconstructed (3d) images can be rendered and displayed in many useful ways: 2d slices, MIP images, 3d renderings,…. Analytic vs iterative reconstruction. There …

    Fast Fourier Transform and Convolution in Medical …

      https://www.intel.com/content/www/us/en/developer/articles/technical/fast-fourier-transform-and-convolution-in-medical-image-reconstruction.html
      This white paper provides an overview of fast Fourier transform (FFT), convolution, their application in medical image reconstruction, and gives example code showcasing the …

    Reconstruction: PET Imaging – CAMCA

      https://camca.mgh.harvard.edu/research/medical-image-reconstruction/pet-imaging/
      By comparing the reconstructed images and profiles based on sinograms without DOI, with rebinned DOI and with sub-sampled DOI, we demonstrate that the proposed method …



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