标题/作者	年份
fastMRI: An open dataset and benchmarks for accelerated MRI J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839	2018
LEARN: Learned experts’ assessment-based reconstruction network for sparse-data CT H Chen, Y Zhang, Y Chen, J Zhang, W Zhang, H Sun, Y Lv, P Liao, J Zhou, ... IEEE transactions on medical imaging 37 (6), 1333-1347	2018
Low‐field MRI: An MR physics perspective JP Marques, FFJ Simonis, AG Webb Journal of magnetic resonance imaging 49 (6), 1528-1542	2019
Adaptive radiotherapy for anatomical changes JJ Sonke, M Aznar, C Rasch Seminars in radiation oncology 29 (3), 245-257	2019
Artificial intelligence in medicine: where are we now? S Kulkarni, N Seneviratne, MS Baig, AHA Khan Academic radiology 27 (1), 62-70	2020
Deep learning optoacoustic tomography with sparse data N Davoudi, XL Deán-Ben, D Razansky Nature Machine Intelligence 1 (10), 453-460	2019
Artificial intelligence in radiation oncology E Huynh, A Hosny, C Guthier, DS Bitterman, SF Petit, DA Haas-Kogan, ... Nature Reviews Clinical Oncology 17 (12), 771-781	2020
A transfer‐learning approach for accelerated MRI using deep neural networks SUH Dar, M Özbey, AB Çatlı, T Çukur Magnetic resonance in medicine 84 (2), 663-685	2020
Plug-and-play methods for magnetic resonance imaging: Using denoisers for image recovery R Ahmad, CA Bouman, GT Buzzard, S Chan, S Liu, ET Reehorst, ... IEEE signal processing magazine 37 (1), 105-116	2020
Transformers in medical imaging: A survey F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu Medical Image Analysis, 102802	2023
CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions T Küstner, N Fuin, K Hammernik, A Bustin, H Qi, R Hajhosseiny, PG Masci, ... Scientific reports 10 (1), 13710	2020
Applications of deep learning to neuro-imaging techniques G Zhu, B Jiang, L Tong, Y Xie, G Zaharchuk, M Wintermark Frontiers in neurology 10, 869	2019
Soft-edge assisted network for single image super-resolution F Fang, J Li, T Zeng IEEE Transactions on Image Processing 29, 4656-4668	2020
Nuts and bolts of 4D-MRI for radiotherapy B Stemkens, ES Paulson, RHN Tijssen Physics in Medicine & Biology 63 (21), 21TR01	2018
Motion artifact reduction using a convolutional neural network for dynamic contrast enhanced MR imaging of the liver D Tamada, ML Kromrey, S Ichikawa, H Onishi, U Motosugi Magnetic resonance in medical sciences 19 (1), 64-76	2020
Unsupervised MRI reconstruction via zero-shot learned adversarial transformers Y Korkmaz, SUH Dar, M Yurt, M Özbey, T Cukur IEEE Transactions on Medical Imaging 41 (7), 1747-1763	2022
Reducing uncertainty in undersampled MRI reconstruction with active acquisition Z Zhang, A Romero, MJ Muckley, P Vincent, L Yang, M Drozdzal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …	2019
Deep-learning-based optimization of the under-sampling pattern in MRI CD Bahadir, AQ Wang, AV Dalca, MR Sabuncu IEEE Transactions on Computational Imaging 6, 1139-1152	2020
Artificial intelligence for MR image reconstruction: an overview for clinicians DJ Lin, PM Johnson, F Knoll, YW Lui Journal of Magnetic Resonance Imaging 53 (4), 1015-1028	2021
Prior-guided image reconstruction for accelerated multi-contrast MRI via generative adversarial networks SUH Dar, M Yurt, M Shahdloo, ME Ildız, B Tınaz, T Cukur IEEE Journal of Selected Topics in Signal Processing 14 (6), 1072-1087	2020

1 - 20

计算机程序会自动估算并确定日期和引用次数。