Results 81 to 90 of about 7,799,574 (379)
Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix [PDF]
, 2017 This paper proposes a joint framework wherein lifting-based, separable, image-matched wavelets are estimated from compressively sensed (CS) images and used for the reconstruction of the same. Matched wavelet can be easily designed if full image is available.
arxiv +1 more source
Biomedical Image Reconstruction: A Survey [PDF]
arXiv, 2023 Biomedical image reconstruction research has been developed for more than five decades, giving rise to various techniques such as central and filtered back projection. With the rise of deep learning technology, biomedical image reconstruction field has undergone a massive paradigm shift from analytical and iterative methods to deep learning methods To ...
arxiv
On global randomized block Kaczmarz method for image reconstruction
Electronic Research Archive, 2022 Image reconstruction represents an important technique applied in various fields such as medicine, biology, materials science, nondestructive testing, and so forth.
Ranran Li, Hao Liu
doaj +1 more source
SOWAT: Speckle Observations With Alleviated Turbulence
, 2019 Adaptive optics (AO) systems and image reconstruction algorithms are indispensable tools when it comes to high-precision astrometry. In this paper, we analyze the potential of combining both techniques, i.e.
Bosco, Felix +2 more
core +1 more source
Phase recovery and holographic image reconstruction using deep learning in neural networks [PDF]
Light: Science & Applications, 2017 Phase recovery from intensity-only measurements forms the heart of coherent imaging techniques and holography. In this study, we demonstrate that a neural network can learn to perform phase recovery and holographic image reconstruction after appropriate ...
Y. Rivenson +4 more
semanticscholar +1 more source
IEEE Access, 2018 In CT image reconstruction, the limited angle problem is an ill-posed problem. To solve this ill-posed problem, the total variation (TV) regularization has been widely used in image reconstruction. In recent years, an algorithm based on TV regularization
Fulin Luo +3 more
doaj +1 more source
Single Image Super-Resolution Reconstruction with Preservation of Structure and Texture Details
Mathematics, 2023 In recent years, deep-learning-based single image super-resolution reconstruction has achieved good performance. However, most existing methods pursue a high peak signal-to-noise ratio (PSNR), while ignoring the quality of the structure and texture ...
Yafei Zhang +4 more
doaj +1 more source
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning [PDF]
Proceedings of the IEEE, 2019 The field of medical image reconstruction has seen roughly four types of methods. The first type tended to be analytical methods, such as filtered backprojection (FBP) for X-ray computed tomography (CT) and the inverse Fourier transform for magnetic ...
S. Ravishankar, J. C. Ye, J. Fessler
semanticscholar +1 more source
Molecular Oncology, EarlyView.We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić +31 more
wiley +1 more source
Imaging ACL reconstructions and their complications
Diagnostic and Interventional Imaging, 2015 Examination of ligament reconstructions, particularly of the anterior cruciate ligament (ACL), are common situations in everyday knee imaging practice. Knowledge of normal appearances, the expected changes over time and the potential complications of these plasties are essential. MRI is the imaging method of choice.
Kulczycka, Pola +5 more
openaire +4 more sources