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2022

Journal Article

Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning

Zhu, Xuanyu, Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2022). Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning. Zeitschrift fur Medizinische Physik, 32 (2), 188-198. doi: 10.1016/j.zemedi.2021.06.004

Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning

2022

Journal Article

Exposure of infants to gradient fields in a baby MRI scanner

Tang, Fangfang, Giaccone, Luca, Hao, Jiahao, Freschi, Fabio, Wu, Tongning, Crozier, Stuart and Liu, Feng (2022). Exposure of infants to gradient fields in a baby MRI scanner. Bioelectromagnetics, 43 (2), 69-80. doi: 10.1002/bem.22387

Exposure of infants to gradient fields in a baby MRI scanner

2022

Journal Article

Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images

Bugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Eyles, Jillian, Spiers, Libby, Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2022). Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images. Quantitative Imaging in Medicine and Surgery, 12 (10), 4941. doi: 10.21037/qims-22-332

Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images

2022

Conference Publication

Anomaly-aware 3D segmentation of knee magnetic resonance images

Woo, Boyeong, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2022). Anomaly-aware 3D segmentation of knee magnetic resonance images. 5th International Conference on Medical Imaging with Deep Learning, Zurich, Switzerland, 6-8 July 2022. Cambridge, MA United States: ML Research Press.

Anomaly-aware 3D segmentation of knee magnetic resonance images

2021

Conference Publication

Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method

Shi, Ke, Li, Mingyan, Weber, Ewald, Crozier, Stuart and Liu, Feng (2021). Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method. Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Virtual, 1-5 November 2021. Piscataway, NJ, United States: IEEE. doi: 10.1109/EMBC46164.2021.9631104

Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method

Featured

2021

Journal Article

Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke

Cook, David, Brown, Helen, Widanapathirana, Isuravi, Shah, Darshan, Walsham, James, Trakic, Adnan, Zhu, Guohun, Zamani, Ali, Guo, Lei, Brankovic, Aida, Al-Saffar, Ahmed, Stancombe, Anthony, Bialkowski, Alina, Nguyen, Phong, Bialkowski, Konstanty, Crozier, Stuart and Abbosh, Amin (2021). Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke. Frontiers in Neurology, 12 765412, 765412. doi: 10.3389/fneur.2021.765412

Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke

2021

Journal Article

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction

Gao, Yang, Cloos, Martijn, Liu, Feng, Crozier, Stuart, Pike, G. Bruce and Sun, Hongfu (2021). Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. NeuroImage, 240 118404, 1-13. doi: 10.1016/j.neuroimage.2021.118404

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction

2021

Journal Article

Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations

Bugeja, Jessica M., Chandra, Shekhar S., Neubert, Aleš, Fripp, Jurgen, Lockard, Carly A., Ho, Charles P., Crozier, Stuart and Engstrom, Craig (2021). Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations. Magnetic Resonance Imaging, 82, 42-54. doi: 10.1016/j.mri.2021.06.008

Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations

2021

Journal Article

Deep unregistered multi-contrast MRI reconstruction

Liu, Xinwen, Wang, Jing, Jin, Jin, Li, Mingyan, Tang, Fangfang, Crozier, Stuart and Liu, Feng (2021). Deep unregistered multi-contrast MRI reconstruction. Magnetic Resonance Imaging, 81, 33-41. doi: 10.1016/j.mri.2021.05.005

Deep unregistered multi-contrast MRI reconstruction

2021

Journal Article

Integrated multi-modal antenna with coupled radiating structures (I-MARS) for 7T pTx body MRI

Destruel, Aurelien, Jin, Jin, Weber, Ewald, Li, Mingyan, Engstrom, Craig, Liu, Feng and Crozier, Stuart (2021). Integrated multi-modal antenna with coupled radiating structures (I-MARS) for 7T pTx body MRI. IEEE Transactions on Medical Imaging, 41 (1), 1-13. doi: 10.1109/TMI.2021.3103654

Integrated multi-modal antenna with coupled radiating structures (I-MARS) for 7T pTx body MRI

2021

Journal Article

Bespoke fractal sampling patterns for discrete Fourier space via the kaleidoscope transform

White, Jacob Michael, Crozier, Stuart and Chandra, Shekhar Suresh (2021). Bespoke fractal sampling patterns for discrete Fourier space via the kaleidoscope transform. IEEE Signal Processing Letters, 14 (8), 1-5. doi: 10.1109/lsp.2021.3116510

Bespoke fractal sampling patterns for discrete Fourier space via the kaleidoscope transform

2021

Journal Article

Deep learning in magnetic resonance image reconstruction

Chandra, Shekhar S., Bran Lorenzana, Marlon, Liu, Xinwen, Liu, Siyu, Bollmann, Steffen and Crozier, Stuart (2021). Deep learning in magnetic resonance image reconstruction. Journal of Medical Imaging and Radiation Oncology, 65 (5) 1754-9485.13276, 564-577. doi: 10.1111/1754-9485.13276

Deep learning in magnetic resonance image reconstruction

2021

Journal Article

ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner

Shan, Shanshan, Li, Mao, Li, Mingyan, Tang, Fangfang, Crozier, Stuart and Liu, Feng (2021). ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner. Medical Physics, 48 (6), 2991-3002. doi: 10.1002/mp.14861

ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner

2021

Journal Article

Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection

Liu, Xinwen, Wang, Jing, Lin, Suzhen, Crozier, Stuart and Liu, Feng (2021). Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection. NMR in Biomedicine, 34 (8) e4540, 1-13. doi: 10.1002/nbm.4540

Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection

2021

Conference Publication

Accelerating QSM using compressed sensing and deep neural network

Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2021). Accelerating QSM using compressed sensing and deep neural network. 2021 ISMRM & SMRT Annual Meeting & Exhibition, Online, 15-20 May 2021. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine.

Accelerating QSM using compressed sensing and deep neural network

2021

Conference Publication

Can3d: Fast 3D knee mri segmentation via compact context aggregation

Dai, Wei, Woo, Boyeong, Liu, Siyu, Marques, Matthew, Tang, Fangfang, Crozier, Stuart, Engstrom, Craig and Chandra, Shekhar (2021). Can3d: Fast 3D knee mri segmentation via compact context aggregation. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/isbi48211.2021.9433784

Can3d: Fast 3D knee mri segmentation via compact context aggregation

2021

Journal Article

On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks

Liu, Xinwen, Wang, Jing, Sun, Hongfu, Chandra, Shekhar S, Crozier, Stuart and Liu, Feng (2021). On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks. Magnetic resonance imaging, 77, 159-168. doi: 10.1016/j.mri.2020.12.019

On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks

2021

Journal Article

Metamaterial-inspired radiofrequency (RF) shield with reduced specific absorption rate (SAR) and improved transmit efficiency for UHF MRI

Chen, Haiwei, Guo, Lei, Li, Mingyan, Destruel, Aurelien, Liu, Chunyi, Weber, Ewald, Liu, Feng and Crozier, Stuart (2021). Metamaterial-inspired radiofrequency (RF) shield with reduced specific absorption rate (SAR) and improved transmit efficiency for UHF MRI. IEEE Transactions on Biomedical Engineering, 68 (4) 9190053, 1178-1189. doi: 10.1109/tbme.2020.3022884

Metamaterial-inspired radiofrequency (RF) shield with reduced specific absorption rate (SAR) and improved transmit efficiency for UHF MRI

2021

Journal Article

xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks

Gao, Yang, Zhu, Xuanyu, Moffat, Bradford A., Glarin, Rebecca, Wilman, Alan H., Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2021). xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks. NMR in Biomedicine, 34 (3) e4461, e4461. doi: 10.1002/nbm.4461

xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks

2021

Journal Article

Divergence-based magnetic resonance electrical properties tomography

Liu, Chunyi, Guo, Lei, Li, Mingyan, Chen, Haiwei, Jin, Jin, Chen, Wufan, Liu, Feng and Crozier, Stuart (2021). Divergence-based magnetic resonance electrical properties tomography. IEEE Transactions on Biomedical Engineering, 68 (1) 9120284, 192-203. doi: 10.1109/tbme.2020.3003460

Divergence-based magnetic resonance electrical properties tomography