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Muhammad Usman
Muhammad Usman
Senior Scientist, Royal Brompton Hospital/Imperial College London
在 rbht.nhs.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Motion corrected compressed sensing for free‐breathing dynamic cardiac MRI
M Usman, D Atkinson, F Odille, C Kolbitsch, G Vaillant, T Schaeffter, ...
Magnetic resonance in medicine 70 (2), 504-516, 2013
2232013
Highly efficient respiratory motion compensated free‐breathing coronary MRA using golden‐step Cartesian acquisition
C Prieto, M Doneva, M Usman, M Henningsson, G Greil, T Schaeffter, ...
Journal of magnetic resonance imaging 41 (3), 738-746, 2015
2142015
k‐t group sparse: a method for accelerating dynamic MRI
M Usman, C Prieto, T Schaeffter, PG Batchelor
Magnetic Resonance in Medicine 66 (4), 1163-1176, 2011
1102011
Retrospective motion correction in multishot MRI using generative adversarial network
M Usman, S Latif, M Asim, BD Lee, J Qadir
Scientific Reports 10 (1), 4786, 2020
742020
Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory
M Usman, B Ruijsink, MS Nazir, G Cruz, C Prieto
Magnetic resonance imaging 38, 129-137, 2017
742017
Manifold learning based ECG‐free free‐breathing cardiac CINE MRI
M Usman, D Atkinson, C Kolbitsch, T Schaeffter, C Prieto
Journal of magnetic resonance Imaging 41 (6), 1521-1527, 2015
632015
Accelerated cardiac cine MRI using locally low rank and finite difference constraints
X Miao, SG Lingala, Y Guo, T Jao, M Usman, C Prieto, KS Nayak
Magnetic resonance imaging 34 (6), 707-714, 2016
492016
An efficient deep learning-based framework for tuberculosis detection using chest X-ray images
A Iqbal, M Usman, Z Ahmed
Tuberculosis 136, 102234, 2022
352022
Automating motion correction in multishot MRI using generative adversarial networks
S Latif, M Asim, M Usman, J Qadir, R Rana
arXiv preprint arXiv:1811.09750, 2018
282018
High-resolution self-gated dynamic abdominal MRI using manifold alignment
X Chen, M Usman, CF Baumgartner, DR Balfour, PK Marsden, AJ Reader, ...
IEEE transactions on medical imaging 36 (4), 960-971, 2017
272017
Compressive manifold learning: Estimating one‐dimensional respiratory motion directly from undersampled k‐space data
M Usman, G Vaillant, D Atkinson, T Schaeffter, C Prieto
Magnetic resonance in medicine 72 (4), 1130-1140, 2014
262014
A computationally efficient OMP-based compressed sensing reconstruction for dynamic MRI
M Usman, C Prieto, F Odille, D Atkinson, T Schaeffter, PG Batchelor
Physics in Medicine & Biology 56 (7), N99, 2011
262011
Security strategies to overcome cyber measures, factors and barriers
JH Awan, S Memon, RA Khan, AQ Noonari, Z Hussain, M Usman
Eng. Sci. Technol. Int. Res. J 1 (1), 51-58, 2017
252017
Group sparse reconstruction using intensity‐based clustering
C Prieto, M Usman, JM Wild, S Kozerke, PG Batchelor, T Schaeffter
Magnetic Resonance in Medicine 69 (4), 1169-1179, 2013
232013
Real time humanoid sound source localization and tracking in a highly reverberant environment
M Usman, F Keyrouz, K Diepold
2008 9th International Conference on Signal Processing, 2661-2664, 2008
232008
A user friendly security framework for the protection of confidential information
JH Awan, S Memon, SM Pathan, M Usman, RA Khan, S Abbasi, ...
Int. J. Comput. Sci. Netw. Secur 17 (04), 215-223, 2017
162017
Model‐based reconstruction framework for correction of signal pile‐up and geometric distortions in prostate diffusion MRI
M Usman, L Kakkar, A Kirkham, S Arridge, D Atkinson
Magnetic resonance in medicine 81 (3), 1979-1992, 2019
142019
Whole left ventricular functional assessment from two minutes free breathing multi-slice CINE acquisition
M Usman, D Atkinson, E Heathfield, G Greil, T Schaeffter, C Prieto
Physics in Medicine & Biology 60 (7), N93, 2015
142015
Joint B0 and image estimation integrated with model based reconstruction for field map update and distortion correction in prostate diffusion MRI
M Usman, L Kakkar, A Matakos, A Kirkham, S Arridge, D Atkinson
Magnetic resonance imaging 65, 90-99, 2020
132020
Abnormal heartbeat detection using recurrent neural networks
S Latif, M Usman, JQR Rana
arXiv preprint arXiv:1801.08322, 2018
132018
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