Search research articles
Contact Us
Filters
Showing results (1-10 of 8) with videos related to
Page
of 1
Sort By:
Magnetic Resonance in Medicine
|
April 15, 2022
Improving high frequency image features of deep learning reconstructions via k-space refinement with null-space kernel
Kanghyun Ryu, Cagan Alkan, Shreyas S Vasanawala
IEEE Transactions on Medical Imaging
|
August 15, 2024
AutoSamp: Autoencoding k-Space Sampling via Variational Information Maximization for 3D MRI
Cagan Alkan, Morteza Mardani, Congyu Liao, et al.
Bioengineering (Basel, Switzerland)
|
March 29, 2023
Deep Learning-Based Reconstruction for Cardiac MRI: A Review
Julio A Oscanoa, Matthew J Middione, Cagan Alkan, et al.
Magma (New York, N.Y.)
|
March 17, 2026
Semi-supervision for clinical contrast-weighted image synthesis from magnetic resonance fingerprinting
Mahmut Yurt, Cagan Alkan, Xiaozhi Cao, et al.
Research Square
|
September 15, 2025
DM-Net: a physics-model-independent direct mapping approach for calibration-free multi-coil MRI
Yan Wu, Cagan Alkan, Julio Oscanoa, et al.
Radiologic Clinics of North America
|
October 25, 2021
Upstream Machine Learning in Radiology
Christopher M Sandino, Elizabeth K Cole, Cagan Alkan, et al.
Magnetic Resonance in Medicine
|
September 9, 2024
Spherical echo-planar time-resolved imaging (sEPTI) for rapid 3D quantitative <math> </math> and susceptibility imaging
Nan Wang, Congyu Liao, Xiaozhi Cao, et al.
IEEE Reviews in Biomedical Engineering
|
October 22, 2024
Data- and Physics-Driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies
Jiahao Huang, Yinzhe Wu, Fanwen Wang, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Magnetic Resonance in Medicine
|
April 15, 2022
Improving high frequency image features of deep learning reconstructions via k-space refinement with null-space kernel
Kanghyun Ryu, Cagan Alkan, Shreyas S Vasanawala
IEEE Transactions on Medical Imaging
|
August 15, 2024
AutoSamp: Autoencoding k-Space Sampling via Variational Information Maximization for 3D MRI
Cagan Alkan, Morteza Mardani, Congyu Liao, et al.
Bioengineering (Basel, Switzerland)
|
March 29, 2023
Deep Learning-Based Reconstruction for Cardiac MRI: A Review
Julio A Oscanoa, Matthew J Middione, Cagan Alkan, et al.
Magma (New York, N.Y.)
|
March 17, 2026
Semi-supervision for clinical contrast-weighted image synthesis from magnetic resonance fingerprinting
Mahmut Yurt, Cagan Alkan, Xiaozhi Cao, et al.
Research Square
|
September 15, 2025
DM-Net: a physics-model-independent direct mapping approach for calibration-free multi-coil MRI
Yan Wu, Cagan Alkan, Julio Oscanoa, et al.
Radiologic Clinics of North America
|
October 25, 2021
Upstream Machine Learning in Radiology
Christopher M Sandino, Elizabeth K Cole, Cagan Alkan, et al.
Magnetic Resonance in Medicine
|
September 9, 2024
Spherical echo-planar time-resolved imaging (sEPTI) for rapid 3D quantitative <math> </math> and susceptibility imaging
Nan Wang, Congyu Liao, Xiaozhi Cao, et al.
IEEE Reviews in Biomedical Engineering
|
October 22, 2024
Data- and Physics-Driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies
Jiahao Huang, Yinzhe Wu, Fanwen Wang, et al.
Page
of 1