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IEEE signal processing magazine

Showing results (1-10 of 44) with videos related to

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IEEE Signal Processing Magazine|April 23, 2020
Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization AlgorithmsJeffrey A Fessler
IEEE Signal Processing Magazine|August 15, 2020
Neural Networks, Hypersurfaces, and the Generalized Radon TransformSoheil Kolouri, Xuwang Yin, Gustavo K Rohde
IEEE Signal Processing Magazine|September 24, 2019
Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student CompetitionArash Mohammadi, Parnian Afshar, Amir Asif, et al.
IEEE Signal Processing Magazine|February 26, 2024
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A surveyWenjun Xia, Hongming Shan, Ge Wang, et al.
IEEE Signal Processing Magazine|March 9, 2026
The Marriage of Neurotechnologies and Artificial Intelligence: Ethical, regulatory, and technological aspectsC Chiurco, A Favaro, S F Storti, et al.
IEEE Signal Processing Magazine|November 11, 2014
Machine Learning in Medical ImagingMiles N Wernick, Yongyi Yang, Jovan G Brankov, et al.
IEEE Signal Processing Magazine|November 16, 2020
Compressed Sensing: From Research to Clinical Practice with Deep Neural NetworksChristopher M Sandino, Joseph Y Cheng, Feiyu Chen, et al.
IEEE Signal Processing Magazine|March 22, 2021
Computational MRI with Physics-based Constraints: Application to Multi-contrast and Quantitative ImagingJonathan I Tamir, Frank Ong, Suma Anand, et al.
IEEE Signal Processing Magazine|March 24, 2021
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and IssuesFlorian Knoll, Kerstin Hammernik, Chi Zhang, et al.
IEEE Signal Processing Magazine|October 3, 2022
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspectiveMehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, et al.
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
IEEE Signal Processing Magazine|April 23, 2020
Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization AlgorithmsJeffrey A Fessler
IEEE Signal Processing Magazine|August 15, 2020
Neural Networks, Hypersurfaces, and the Generalized Radon TransformSoheil Kolouri, Xuwang Yin, Gustavo K Rohde
IEEE Signal Processing Magazine|September 24, 2019
Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student CompetitionArash Mohammadi, Parnian Afshar, Amir Asif, et al.
IEEE Signal Processing Magazine|February 26, 2024
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A surveyWenjun Xia, Hongming Shan, Ge Wang, et al.
IEEE Signal Processing Magazine|March 9, 2026
The Marriage of Neurotechnologies and Artificial Intelligence: Ethical, regulatory, and technological aspectsC Chiurco, A Favaro, S F Storti, et al.
IEEE Signal Processing Magazine|November 11, 2014
Machine Learning in Medical ImagingMiles N Wernick, Yongyi Yang, Jovan G Brankov, et al.
IEEE Signal Processing Magazine|November 16, 2020
Compressed Sensing: From Research to Clinical Practice with Deep Neural NetworksChristopher M Sandino, Joseph Y Cheng, Feiyu Chen, et al.
IEEE Signal Processing Magazine|March 22, 2021
Computational MRI with Physics-based Constraints: Application to Multi-contrast and Quantitative ImagingJonathan I Tamir, Frank Ong, Suma Anand, et al.
IEEE Signal Processing Magazine|March 24, 2021
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and IssuesFlorian Knoll, Kerstin Hammernik, Chi Zhang, et al.
IEEE Signal Processing Magazine|October 3, 2022
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspectiveMehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, et al.
Pageof 5