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Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis
Nature Communications, 2023 Image reconstruction algorithms raise critical challenges in massive data processing for medical diagnosis. Here, the authors propose a solution to significantly accelerate medical image reconstruction on memristor arrays, showing 79× faster speed and ...
Han Zhao +11 more
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Specificity-Preserving Federated Learning for MR Image Reconstruction [PDF]
IEEE Transactions on Medical Imaging, 2021 Federated learning (FL) can be used to improve data privacy and efficiency in magnetic resonance (MR) image reconstruction by enabling multiple institutions to collaborate without needing to aggregate local data.
Chun-Mei Feng +4 more
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Directional-TV algorithm for image reconstruction from limited-angular-range data [PDF]
Medical Image Anal., 2021 Investigation of image reconstruction from data collected over a limited-angular range in X-ray CT remains a topic of active research because it may yield insight into the development of imaging workflow of practical significance.
Zheng Zhang +4 more
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Journal of Electrical and Computer Engineering, 2022 Due to the large noise and many discrete points of the image in the traditional image reconstruction process, the reconstruction quality of the image deviates greatly from the actual target.
Jing He
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Focal Frequency Loss for Image Reconstruction and Synthesis [PDF]
IEEE International Conference on Computer Vision, 2020 Image reconstruction and synthesis have witnessed remarkable progress thanks to the development of generative models. Nonetheless, gaps could still exist between the real and generated images, especially in the frequency domain.
Liming Jiang +3 more
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Image Super-Resolution Reconstruction Method Based on Embeddable Network Structure [PDF]
Jisuanji gongcheng, 2021 The existing Super-Resolution(SR) image reconstruction models based on Convolutional Neural Networks(CNN) have multiple deficiencies,such as instable model training process and low convergence speed.To address the problem,this paper proposes an ...
QIANG Baohua, PANG Yuanchao, YANG Minghao, ZENG Kun, ZHENG Hong, XIE Wu, MO Ye
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Multi-frame Image Super-resolution Reconstruction Using Multi-grained Cascade Forest [PDF]
International Journal of Electronics and Telecommunications, 2019 Super-resolution image reconstruction utilizes two algorithms, where one is for single-frame image reconstruction, and the other is for multi-frame image reconstruction.
Yaming Wang, Zhikang Luo, Wenqing Huang
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Journal of Reconstructive Microsurgery Open, 2023 Objective We report the case of a 40-year-old man with an inveterate ulnar nerve neuroma following a laceration injury of his left wrist twenty-three years ago.
Laura A. Hruby +6 more
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Value of Virtual Reality Technology in Image Inspection and 3D Geometric Modeling
IEEE Access, 2020 Aiming at the poor expressive ability of image statistical information during the reconstruction process of traditional 3D image reconstruction method based on virtual reality technology, resulting in low accuracy of 3D image after reconstruction, a new ...
Longyu Lu, Jinkai Ma, Shuying Qu
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A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction [PDF]
IEEE Transactions on Medical Imaging, 2017 Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data using a deep cascade of convolutional neural networks (CNNs) to accelerate the ...
Jo Schlemper +4 more
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