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American Journal of Neuroradiology

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Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging
Shaojie Chang, John C. Benson, John I. Lane, Michael R. Bruesewitz, Joseph R. Swicklik, Jamison E. Thorne, Emily K. Koons, Matthew L. Carlson, Cynthia H. McCollough and Shuai Leng

American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8572
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Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs
Ariana M. Familiar, Neda Khalili, Nastaran Khalili, Cassidy Schuman, Evan Grove, Karthik Viswanathan, Jakob Seidlitz, Aaron Alexander-Bloch, Anna Zapaishchykova, Benjamin H. Kann, Arastoo Vossough, Phillip B. Storm, Adam C. Resnick, Anahita Fathi Kazerooni and Ali Nabavizadeh

American Journal of Neuroradiology May 2025, 46 (5) 964-972; DOI: https://doi.org/10.3174/ajnr.A8581
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Accuracy of an nnUNet Neural Network for the Automatic Segmentation of Intracranial Aneurysms, Their Parent Vessels, and Major Cerebral Arteries from MRI-TOF
Elisa Colombo, Mathijs de Boer, Lambertus Bartels, Luca Regli and Tristan van Doormaal

American Journal of Neuroradiology May 2025, 46 (5) 956-963; DOI: https://doi.org/10.3174/ajnr.A8607
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Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning–Reconstructed Double Inversion Recovery MRI Approach
Qiang Fang, Qing Yang, Bao Wang, Bing Wen, Guangrun Xu and Jingzhen He

American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8582
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Accuracy of an nnUNet Neural Network for the Automatic Segmentation of Intracranial Aneurysms, Their Parent Vessels, and Major Cerebral Arteries from MRI-TOF
Elisa Colombo, Mathijs de Boer, Lambertus Bartels, Luca Regli and Tristan van Doormaal

American Journal of Neuroradiology April 2025, DOI: https://doi.org/10.3174/ajnr.A8607
ARTIFICIAL INTELLIGENCE

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Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs
Ariana M. Familiar, Neda Khalili, Nastaran Khalili, Cassidy Schuman, Evan Grove, Karthik Viswanathan, Jakob Seidlitz, Aaron Alexander-Bloch, Anna Zapaishchykova, Benjamin H. Kann, Arastoo Vossough, Phillip B. Storm, Adam C. Resnick, Anahita Fathi Kazerooni and Ali Nabavizadeh

American Journal of Neuroradiology April 2025, DOI: https://doi.org/10.3174/ajnr.A8581
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Comprehensive Segmentation of Gray Matter Structures on T1-Weighted Brain MRI: A Comparative Study of Convolutional Neural Network, Convolutional Neural Network Hybrid-Transformer or -Mamba Architectures
Yujia Wei, Jaidip Manikrao Jagtap, Yashbir Singh, Bardia Khosravi, Jason Cai, Jeffrey L. Gunter and Bradley J. Erickson

American Journal of Neuroradiology April 2025, 46 (4) 742-749; DOI: https://doi.org/10.3174/ajnr.A8544
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Data-Driven Prognostication in Distal Medium Vessel Occlusions Using Explainable Machine Learning
Mert Karabacak, Burak Berksu Ozkara, Tobias D. Faizy, Trevor Hardigan, Jeremy J. Heit, Dhairya A. Lakhani, Konstantinos Margetis, J. Mocco, Kambiz Nael, Max Wintermark and Vivek S. Yedavalli

American Journal of Neuroradiology April 2025, 46 (4) 725-732; DOI: https://doi.org/10.3174/ajnr.A8547
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Leveraging Physics-Based Synthetic MR Images and Deep Transfer Learning for Artifact Reduction in Echo-Planar Imaging
Catalina Raymond, Jingwen Yao, Bryan Clifford, Thorsten Feiweier, Sonoko Oshima, Donatello Telesca, Xiaodong Zhong, Heiko Meyer, Richard G. Everson, Noriko Salamon, Timothy F. Cloughesy and Benjamin M. Ellingson

American Journal of Neuroradiology April 2025, 46 (4) 733-741; DOI: https://doi.org/10.3174/ajnr.A8566
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Deep Learning–Based Reconstruction for Accelerated Cervical Spine MRI: Utility in the Evaluation of Myelopathy and Degenerative Diseases
So Jung Koo, Roh-Eul Yoo, Kyu Sung Choi, Kyung Hoon Lee, Han Byeol Lee, Dong-Joo Shin, Hyunsuk Yoo and Seung Hong Choi

American Journal of Neuroradiology April 2025, 46 (4) 750-757; DOI: https://doi.org/10.3174/ajnr.A8567

This study prospectively compared the image quality and diagnostic performance of conventional MRI and accelerated cervical MRI with DL-based reconstruction in evaluating cervical degenerative spine diseases and myelopathy. The DL-reconstructed protocol demonstrated reduction in scan time, higher or comparable SNR and CNR with higher or similar overall image quality, and higher sensitivity for detecting neural foraminal stenosis and comparable diagnostic performance for other degenerative cervical spinal diseases and myelopathy.

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