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Maximum Entropy Image Reconstruction
IEEE Transactions on Computers, 1977Two-dimensional digital image reconstruction is an important imaging process in many of the physical sciences. If the data are insufficient to specify a unique reconstruction, an additional criterion must be introduced, either implicitly or explicitly before the best estimate can be computed. Here we use a principle of maximum entropy, which has proven
Stephen J. Wernecke, Larry R. D'Addario
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Image Reconstruction by Multilabel Propagation
2017This work presents a non-convex variational approach to joint image reconstruction and labeling. Our regularization strategy, based on the KL-divergence, takes into account the smooth geometry on the space of discrete probability distributions. The proposed objective function is efficiently minimized via DC programming which amounts to solving a ...
Zisler, Matthias +3 more
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Image Reconstruction in Optoacoustics.
2015This thesis investigates reconstruction techniques for optoacoustic (oa) imaging, implemented both in pulsed and continuous wave (cw) mode. Two approaches to incorporate the transducer geometry into model-based reconstruction are implemented and its benefits showcased in simulations and experiments.
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On instabilities of deep learning in image reconstruction and the potential costs of AI
Proceedings of the National Academy of Sciences of the United States of America, 2020Francesco Renna +2 more
exaly
IMAGE RECONSTRUCTING DEVICE, IMAGE RECONSTRUCTING METHOD, AND IMAGE RECONSTRUCTING PROGRAM
2021SEKIKAWA YUSUKE, SHI YANG
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Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians
Journal of Magnetic Resonance Imaging, 2021Florian Knoll +2 more
exaly
Image reconstruction with transformer for mask-based lensless imaging
Optics Letters, 2022Masahiro Yamaguchi
exaly

