Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Compressed Sensing Applied to Dynamic Cardiac MRI, King's College London
Award Date: 1 Jan 2011
Master of Science, Communication Engineering, Technical University of Munich
Award Date: 1 Jan 2007
Fingerprint
Dive into the research topics where Muhammad Usman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 12 Similar Profiles
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Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
GBD 2016 Traumatic Brain Injury and Spinal Cord Injury Collaborators, James, S. L., Theadom, A., Ellenbogen, R. G., Bannick, M. S., Montjoy-Venning, W., Lucchesi, L. R., Abbasi, N., Abdulkader, R., Abraha, H. N., Adsuar, J. C., Afarideh, M., Agrawal, S., Ahmadi, A., Ahmed, M. B., Aichour, A. N., Aichour, I., Aichour, M. T. E., Akinyemi, R. O. & Akseer, N. & 31 others, , 1 Jan 2019, In: The Lancet Neurology. 18, 1, p. 56-87 32 p.Research output: Contribution to journal › Article › peer-review
1296 Citations (Scopus) -
Whole-heart single breath-hold cardiac cine: A robust motion-compensated compressed sensing reconstruction method
Royuela-del-Val, J., Usman, M., Cordero Grande, L., Martín-Fernández, M., Simmross-Wattenberg, F., Prieto Vasquez, C. & Alberola-López, C., 17 Jan 2017, RAMBO 2016/HVSMR 2016, Lecture Notes in Computer Science. Vol. 10129. p. 58-69 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile1 Citation (Scopus)169 Downloads (Pure) -
Multiresolution reconstruction of real-time MRI with motion compensated compressed sensing: application to 2D free-breathing cardiac MRI
Royuela-del-Val, J., Usman, M., Cordero Grande, L., Martín-Fernández, M., Simmross-Wattenberg, F., Prieto Vasquez, C. & Alberola-Lopez, C., 15 Jun 2016, In: International Symposium on Biomedical Imaging (ISBI). 2016-June, p. 506-509 4 p., 7493318.Research output: Contribution to journal › Conference paper › peer-review
Open AccessFile264 Downloads (Pure) -
Highly efficient respiratory motion compensated free-breathing coronary mra using golden-step Cartesian acquisition
Prieto, C., Doneva, M., Usman, M., Henningsson, M., Greil, G., Schaeffter, T. & Botnar, R. M., 19 Feb 2015, In: Journal of Magnetic Resonance Imaging. 41, 3, p. 738-746 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile126 Citations (Scopus)493 Downloads (Pure) -
Manifold learning based ECG-free free-breathing cardiac CINE MRI
Usman, M., Atkinson, D., Kolbitsch, C., Schaeffter, T. & Prieto, C., Jun 2015, In: Journal of Magnetic Resonance Imaging. p. 1521–1527 7 p.Research output: Contribution to journal › Article › peer-review
35 Citations (Scopus)6 Downloads (Pure)
Datasets
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Randomised high resolution 4D volumes synthesis
Chen, X., King, A., Prieto Vasquez, C., Balfour, D., Reader, A., Marsden, P., Usman, M. & Baumgartner, C., King's College London, 6 Dec 2016
DOI: 10.18742/rdm01-114, https://kcl.figshare.com/articles/dataset/Randomised_high_resolution_4D_volumes_synthesis/16473681
Dataset