Super‐resolution musculoskeletal MRI using deep learning

Cited by (406)

Items 301–400 of 406

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2. A review on artificial intelligence-based medical image enhancement and generation
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3. Rapid Musculoskeletal MRI in 2026: Clinical Integration of Deep Learning Reconstruction
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4. Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning Techniques
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5. CT-Guided, Unsupervised Super-Resolution Reconstruction of Single 3D Magnetic Resonance Image
   Jiale Wang, Alexander Frank Heimann, Moritz Tannast, Guoyan Zheng A · 2023 · Lecture notes in computer science
6. Enhancing Knee MR Image Clarity through Image Domain Super-Resolution Reconstruction
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7. The super-resolution reconstruction in diffusion-weighted imaging of preoperative rectal MR using generative adversarial network (GAN): Image quality and T-stage assessment
   J. Cui, S. Miao, J. Wang, Jingjing Chen, C. Dong, D. Hao, Jie Li · 2024 · Clinical Radiology
8. Impact of super-resolution deep learning-based reconstruction for hippocampal MRI: A volunteer and phantom study
   Sentaro Takada, Takeshi Nakaura, Naofumi Yoshida, Hiroyuki Uetani, Kaori Shiraishi, Naoki Kobayashi, Kensei Matsuo, Kosuke Morita, Yasunori Nagayama, Masafumi Kidoh et al. · 2025 · European Journal of Radiology
9. Optical Flow Video Frame Interpolation Based MRI Super-Resolution
   Suhail Gulzar, Sakshi Arora · 2022 · Algorithms for intelligent systems
10. MoMSGAN: Mode Collapse based Degradation Agnostic Multi-Scale Super-Resolution of Medical Images
    Samiran Dey, Tapabrata Chakraborti, Partha Basuchowdhuri, Debasis Mitra, Robin Augustine, Sanjoy Kumar Saha · 2023 · Indian Conference on Computer Vision, Graphics and Image Processing
11. Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning
    Tong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian · 2020 · Lecture notes in computer science
12. SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging
    Wenqi Huang, Sen Jia, Ziwen Ke, Zhuo‐Xu Cui, Jing Cheng, Yanjie Zhu, Dong Liang · 2021 · arXiv (Cornell University)
13. Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
    Nicoló Savioli, Antonio de Marvao, Wenjia Bai, Wang, Shuo, Stuart A. Cook, Calvin Chin, Daniel Rueckert, Declan P. O’Regan · 2021 · arXiv (Cornell University)
14. Simultaneous Super-Resolution and Distortion Correction for Single-shot EPI DWI using Deep Learning
    Xinyu Ye, Peipei Wang, Sisi Li, Jieying Zhang, Yuan Lian, Yajing Zhang, Jie Lu, Hua Guo · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
15. Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning
    David Abramian, Anders Eklund, Evren Özarslan · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
16. Brain Tumor Classification using Under-Sampled k-Space Data: A Deep Learning Approach
    Tania Sultana, Sho KUROSAKI, Yutaka Jitsumatsu, Shigehide Kuhara, Jun’ichi Takeuchi · 2023 · IEICE Transactions on Information and Systems
17. An efficient multi‐scale large asymmetric‐kernel network for lightweight image super‐resolution
    Jinsheng Fang, Hanjiang Lin, Jianglong Zhao, Kun Zeng · 2024 · Concurrency and Computation Practice and Experience
18. High-Order State Space Model for Multi-Modal Accelerated MRI Reconstruction
    Bei Tang, Xuanhua He, Si Wang, Yuhan Zhan, Gang Yang · 2025 · IEEE Signal Processing Letters
19. Improving CXR Bone Suppression by Exploiting Domain-Level and Instance-Level Information
    Ling Yang, Zhenghao Chen, Kaisiyuan Wang, Luping Zhou · 2025 · IEEE Transactions on Medical Imaging
20. Deep learning-based acceleration of high-resolution compressed sense MR imaging of the hip
    Alexander Wolfgang Marka, Felix Meurer, Vanessa Twardy, Markus M. Graf, Saba Ebrahimi Ardjomand, Kilian Weiss, Marcus R. Makowski, Alexandra S. Gersing, Dimitrios C. Karampinos, Jan Neumann et al. · 2025 · European Journal of Radiology Open
21. Ultra-fast single-sequence magnetic resonance imaging (MRI) for lower back pain: diagnostic performance of a deep learning T2-Dixon protocol
    Thierno D. Diallo, S. Wiedemann, Zeynep Berkarda, Ralph Strecker, Dominik Marcel Nickel, Fabian Bamberg, Alexander Rau, Thomas Mayrhofer, Maximilian Frederik Russe, Jakob Weiss · 2025 · Clinical Radiology
22. Dual‐Network Deep Learning for Accelerated Head and Neck MRI : Enhanced Image Quality and Reduced Scan Time
    Shuang Li, Weijie Yan, Xiaoyong Zhang, Wei Hu, Ji Lin, Qiang Yue · 2025 · Head & Neck
23. Kernel-aware network with dual diffusion model for MRI blind super resolution
    Xiaoqiang Zhao, Xiaodong Yang, Zhaoyang Song · 2025 · Measurement Science and Technology
24. Transform Domain Based GAN with Deep Multi-Scale Features Fusion for Medical Image Super-Resolution
    Huayong Yang, Qingsong Wei, Yu Sang · 2025 · Electronics
25. Rapid whole brain motion-robust mesoscale in-vivo MR imaging using multi-scale implicit neural representation
    Jun Lyu, Lipeng Ning, William Consagra, Qiang Liu, Jarrett Rushmore, Berkin Bilgiç, Yogesh Rathi A · 2025 · Medical Image Analysis
26. Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRI
    Johanna Topalis, Jakob Dexl, Katharina Jeblick, Rabea Klaar, Christopher Kurz, Timo Löhr, Andreas Mittermeier, Balthasar Maria Schachtner, Anna Theresa Stüber, Tobias A. Weber et al. · 2025 · PLoS ONE
27. A unified deep network for thin- and dense-slice reconstruction: Improving through-plane resolution in clinical MRI
    Rong Zhang, Lingtong Zhang, Jiaen Wang, Xuhe HuangFu, Kecheng Yuan, Bensheng Qiu · 2025 · Biomedical Signal Processing and Control
28. Cardiac MR function analysis with DL-based super resolution reconstruction: application in the clinical setting
    Franziska Adomat, Christof Schaub, Tobias Hoh, Xenia Fischer, Roman Guggenberger, Robert Manka, Matthias Eberhard, Lucas Weber · 2026 · The International Journal of Cardiovascular Imaging
29. Visual assessment of AI-reconstructed knee MRI: A pilot study
    Switinder Singh Ghotra, L. Buttex, L. Gallus, Y. Cottier, Jonathan P McNulty, A. McGee, Cláudia Sà dos Reis · 2026 · Radiography
30. Selective and safe structure transfer network for multi-contrast MRI super-resolution
    Guoqing Ge, Weisheng Li, Yucheng Shu, Xiaoyu Qiao, Feiyan Li · 2026 · Expert Systems with Applications
31. Artificial Intelligence and the radiologist’s role
    Manusha Ratnayake · 2021 · Journal of Medical Imaging and Radiation Oncology
32. Medical Imaging Based Diagnosis Through Machine Learning and Data Analysis
    Jianjia Zhang, Yan Wang, Chen Zu, Biting Yu, Lei Wang, Luping Zhou · 2021 · Computational biology
33. Image Processing Analytics: Enhancements and Segmentation
    Lubomir M. Hadjiiski, Ravi K. Samala, Heang‐Ping Chan · 2021 · Elsevier eBooks
34. Magnetic Resonance Imaging Features under Deep Learning Algorithms in Evaluated Cerebral Protection of Craniotomy Evacuation of Hematoma under Propofol Anesthesia
    Deqian Xin, Zhongzhe An, Juan Ding, Zhi Li, Leyan Qiao · 2021 · Contrast Media & Molecular Imaging
35. Super-Resolution MRI Using Fractional Order Kernel Regression and Total Variation
    Vazim Ibrahim, Joseph Suresh Paul · 2021 · Algorithms for intelligent systems
36. Towards Super-resolution CEST MRI for Visualization of Small Structures
    Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz A. Kapsner, Moritz Simon Fabian, Sebastian Bickelhaupt, David Simón, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß et al. · 2022 · Informatik aktuell
37. Evolution of AI in Medical Imaging
    Joshua D. Schaefferkoetter · 2022 · Springer eBooks
38. Challenges in Deep Learning Applied to the Knee Joint Magnetic Resonance Imaging: A Survey
    Manuella Kadar, Alexei Botnari · 2022 · Lecture notes in networks and systems
39. [Medical image super-resolution reconstruction via multi-scale information distillation network under multi-scale geometric transform domain].
    Huadong Wang, Ting Sun · 2022 · PubMed Central
40. Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method
    Dan Jin, Han Zheng, Huishu Yuan · 2023 · Bioengineering
41. Artificial Intelligence Approaches to the Imaging of Neurodegenerative Diseases
    Greg Zaharchuk · 2023 · Springer eBooks
42. Sparse-View Artifact Correction of High-Pixel-Number Synchrotron Radiation CT
    Mei Huang, Gang Li, Rui Sun, Jie Zhang, Zhimao Wang, Yanping Wang, Tijian Deng, Bei Yu · 2024 · Applied Sciences
43. A pilot study to identify suitable MRI protocols for preoperative planning of total hip arthroplasty
    Switinder Singh Ghotra, Yann Cottier, Christine Bruguier, Alejandro Domínguez, Pascal Monnin, Cláudia Sà dos Reis · 2024 · European Journal of Radiology
44. Multi-modal fusion and feature enhancement U-Net coupling with stem cell niches proximity estimation for voxel-wise GBM recurrence prediction *
    Changzhe Jiao, Yi Lao, Wenwen Zhang, Steve E. Braunstein, Mia A. Salans, Javier E. Villanueva-Meyer, Shawn L. Hervey‐Jumper, Bo Yang, Olivier Morin, Gilmer Valdés et al. · 2024 · Physics in Medicine and Biology
45. Artificial Intelligence in Trauma Surgery
    Corentin Pangaud, Matthieu P. Ollivier · 2024 · Springer eBooks
46. Utility of Thin-slice Single-shot T2-weighted MR Imaging with Deep Learning Reconstruction as a Protocol for Evaluating Pancreatic Cystic Lesions
    Kumi Ozaki, Hanae Hasegawa, Jihun Kwon, Yasutomo Katsumata, Masami Yoneyama, Shota Ishida, Takafumi Iyoda, Masataka Sakamoto, Shuuhei Aramaki, Yukichi Tanahashi et al. · 2025 · Magnetic Resonance in Medical Sciences
47. Synthesizing VERDICT Maps from Standard DWI Data Using GANs
    Eleni Chiou, Vanya Vabrina Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki · 2021 · Lecture notes in computer science
48. Multi-scale super-resolution generation of low-resolution scanned pathological images
    Kai Sun, Yanhua Gao, Ting Xie, Xun Wang, Qingqing Yang, Le Chen, Kuansong Wang, Gang Yu · 2021 · arXiv (Cornell University)
49. Resolution Enhancement for Compressed Sensing at 1.5T MRI through Deep Learning: Application to Quantitative Volume Measurement of Human Brain Structures
    Atita Suwannasak, Salita Angkurawaranon, Prapatsorn Sangpin, Itthi Chatnuntawech, Kittichai Wantanajittikul, Uten Yarach · 2023 · Research Square
50. COMPUTER TOMOGRAPHY IMAGES QUALITY ASSESSMENT
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51. The impact of Deep learning algorithms with MRI Systematic review
    Ahmad Alaiad, O Nawari Mustafa · 2020 · International Conference on Information and Communication Systems (ICICS)
52. 1. Deep Learning Super-resolution in Medical Imaging: What Is It and How to Use It
    Kensuke Umehara · 2020 · Japanese Journal of Radiological Technology
53. The application and optimization of super-resolution reconstruction for isotropic out-of-plane MRI to study the musculoskeletal system
    Justin J. Tse, Luke Garland, Michael T. Kuczynski, Peter Salat, Yves Pauchard, Sarah L. Manske · 2020 · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
54. High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network
    Ziyu Li, Qiyuan Tian, Chanon Ngamsombat, Samuel C. D. Cartmell, John Conklin, Augusto Lio M. Gonçalves Filho, Wei‐Ching Lo, Guangzhi Wang, Kui Ying, Kawin Setsompop et al. · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
55. Edge, Structure and Texture Refinement for Retrospective High Quality MRI Restoration using Deep Learning
    Hao Li, Jianan Liu · 2021 · arXiv (Cornell University)
56. Synthesizing VERDICT maps from standard DWI data using GANs
    Eleni Chiou, Vanya Vabrina Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
57. Histogram Based Resolution Enhancement of an Image by Using Artificial Neural Network
    Pooja Singh, Dinesh Ganotra · 2021 · International Conference on Computing Methodologies and Communication (ICCMC)
58. Peer Review #4 of "A comprehensive review of deep learning-based single image super-resolution (v0.1)"
    2021 · PeerJ Computer Science
59. Peer Review #1 of "A comprehensive review of deep learning-based single image super-resolution (v0.2)"
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60. Peer Review #4 of "A comprehensive review of deep learning-based single image super-resolution (v0.2)"
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61. Peer Review #1 of "A comprehensive review of deep learning-based single image super-resolution (v0.1)"
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62. Introduction to Artificial Intelligence in Medicine
    Bart M. ter Haar Romeny · 2021 · Springer eBooks
63. 地球環境研究総合推進費による「酸性汚染物質の陸水影響研究」紹介
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64. Peer Review #3 of "A comprehensive review of deep learning-based single image super-resolution (v0.2)"
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65. Peer Review #2 of "A comprehensive review of deep learning-based single image super-resolution (v0.1)"
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66. Peer Review #2 of "A comprehensive review of deep learning-based single image super-resolution (v0.2)"
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67. Peer Review #3 of "A comprehensive review of deep learning-based single image super-resolution (v0.1)"
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68. Effect of Super Resolution on Low-Resolution MRI Segmentation
    Eichi Takaya, Masaki Haraoka, Hiroki Takahashi, Ikuko Eguchi Yairi, Yasuyuki Kobayashi · 2022 · Journal of St Marianna University
69. Human Visual System (HVS) Inspired Automatic Brain Tumor Segmentation
    Muhammad Usman Zafar, Asjad Amin, Muhammad Ali Qureshi, Farhan Hassan Malik · 2023 · IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T)
70. L’intelligence artificielle appliquée à l’interprétation de l’imagerie ostéoarticulaire : quel est le bilan ? Quelles sont les perspectives ?
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71. [MRI] 2. Recent Research on MR Image Reconstruction Using Artificial Intelligence
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72. [MRI] 3. Current Status of AI Image Reconstruction in Clinical MRI Systems
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73. Generalized super-resolution 4D Flow MRI $\unicode{x2013}$ using ensemble learning to extend across the cardiovascular system
    Leon Ericsson, Adam Hjalmarsson, Akbar, Muhammad Usman, Edward Ferdian, Mia Bonini, Hardy, Brandon, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas S. Burris et al. · 2023 · PubMed
74. Kas-iskelet sistemi görüntülemesinde yapay zekâ uygulamaları: Makine öğrenmesi ve derin öğrenme teknikleri
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75. Deep Regularization For Scale-Agnostic Superresolution of MR Images
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76. Nouvelles séquences d’IRM dans l’imagerie de l’articulation sacro-iliaque
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77. A Hybrid Domain Encoder-Decoder Network for Progressive k-space Extrapolation in Super-Resolution MRI
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78. Six-Minute Knee MRI: A Comparison of Novel Approaches for Accelerated Imaging
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79. Enhanced Image Quality and Comparable Diagnostic Performance of Prostate Fast Bi-MRI with Deep Learning Reconstruction
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80. Deep Learning-Powered Super Resolution Reconstruction Improves 2D T2-Weighted Turbo Spin Echo MRI of the Hippocampus
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81. CL-GAN: A progressive curriculum learning approach for bone CT super-resolution
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82. Deep learning-based super-resolution of contrast-enhanced volumetric interpolated breath-hold examination for evaluation of intracranial enhancing lesions
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86. AI in Magnetic Resonance Imaging
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88. Transformer-Integrated Dual-Domain Residual Network with Gradient-Aware Supervision and Clamo Optimization for Artifact-Free Medical Image Super-Resolution
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