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ORCIDMohamed A. Suliman
Person information
- affiliation: King's College London, UK
- affiliation (PhD 2021): Imperial College London, Department of Electrical and Electronic Engineering, UK
- affiliation: King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Other persons with the same name
- Mohamed Suliman — disambiguation page
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2020 – today
- 2023
[i9]Simon Dahan, Abdulah Fawaz, Mohamed A. Suliman, Mariana da Silva, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson:
The Multiscale Surface Vision Transformer. CoRR abs/2303.11909 (2023)- [i8]Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz, Emma C. Robinson:
Unsupervised Multimodal Surface Registration with Geometric Deep Learning. CoRR abs/2311.13022 (2023) - 2022
- [j7]Mohamed A. Suliman
, Wei Dai:
Blind Two-Dimensional Super-Resolution and Its Performance Guarantee. IEEE Trans. Signal Process. 70: 2844-2858 (2022) - [c11]Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz, Emma C. Robinson:
GeoMorph: Geometric Deep Learning for Cortical Surface Registration. GeoMedIA 2022: 118-129 - [c10]Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz, Emma C. Robinson:
A Deep-Discrete Learning Framework for Spherical Surface Registration. MICCAI (6) 2022: 119-129 - [i7]Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz, Emma C. Robinson:
A Deep-Discrete Learning Framework for Spherical Surface Registration. CoRR abs/2203.12999 (2022) - 2021
- [j6]Mohamed A. Suliman, Wei Dai:
Mathematical Theory of Atomic Norm Denoising in Blind Two-Dimensional Super-Resolution. IEEE Trans. Signal Process. 69: 1681-1696 (2021) - 2020
- [c9]Mohamed A. Suliman, Wei Dai:
Atomic Norm Denoising In Blind Two-Dimensional Super-Resolution. ICASSP 2020: 5695-5699 - [i6]Mohamed A. Suliman, Wei Dai:
Mathematical Theory of Atomic Norm Denoising In Blind Two-Dimensional Super-Resolution (Extended Version). CoRR abs/2006.05291 (2020)
2010 – 2019
- 2019
- [c8]Mohamed A. Suliman, Wei Dai:
Exact Three-Dimensional Estimation in Blind Super-Resolution via Convex Optimization. CISS 2019: 1-9 - [c7]Mohamed A. Suliman, Wei Dai:
Blind Super-resolution in Two-dimensional Parameter Space. ICASSP 2019: 5511-5515 - [c6]Tarig Ballal, Mohamed A. Suliman, Ayed M. Alrashdi, Tareq Y. Al-Naffouri:
Optimum pilot and data energy allocation for BPSK transmission over massive MIMO systems. WCNC 2019: 1-6 - 2018
- [j5]Mohamed A. Suliman, Tarig Ballal, Tareq Y. Al-Naffouri:
Perturbation-based regularization for signal estimation in linear discrete ill-posed problems. Signal Process. 152: 35-46 (2018) - [j4]Saifeldin M. Siddeeg, Mohamed A. Suliman, Faouzi Ben Rebah, Wissem Mnif, Amel Y. Ahmed, Isam Salih:
Comparative Study of Natural Radioactivity and Radiological Hazard Parameters of Various Imported Tiles Used for Decoration in Sudan. Symmetry 10(12): 746 (2018) - [c5]Mohamed A. Suliman, Houssem Sifaou, Tarig Ballal, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Robust Estimation in Linear ILL-Posed Problems with Adaptive Regularization Scheme. ICASSP 2018: 4504-4508 - [c4]Mohamed A. Suliman, Tarig Ballal, Mohammed H. Alsharif, Mohamed Saad, Tareq Y. Al-Naffouri:
Robust 3-D Location Estimation in the Presence of Anchor Placement and Range Errors. WPNC 2018: 1-5 - [i5]Mohamed A. Suliman, Wei Dai:
Blind Two-Dimensional Super-Resolution and Its Performance Guarantee. CoRR abs/1811.02070 (2018) - 2017
- [j3]Tarig Ballal, Mohamed A. Suliman, Tareq Y. Al-Naffouri:
Bounded Perturbation Regularization for Linear Least Squares Estimation. IEEE Access 5: 27551-27562 (2017) - [j2]Mohamed A. Suliman, Ayed M. Alrashdi, Tarig Ballal, Tareq Y. Al-Naffouri:
SNR Estimation in Linear Systems With Gaussian Matrices. IEEE Signal Process. Lett. 24(12): 1867-1871 (2017) - [c3]Tarig Ballal, Mohamed Suliman, Tareq Y. Al-Naffouri:
Near-optimal parameter selection methods for l2 regularization. GlobalSIP 2017: 1295-1299 - [i4]Mohamed A. Suliman, Ayed M. Alrashdi, Tarig Ballal, Tareq Y. Al-Naffouri:
SNR Estimation in Linear Systems with Gaussian Matrices. CoRR abs/1708.01466 (2017) - 2016
- [j1]Mohamed Suliman, Tarig Ballal, Abla Kammoun, Tareq Y. Al-Naffouri:
Constrained Perturbation Regularization Approach for Signal Estimation Using Random Matrix Theory. IEEE Signal Process. Lett. 23(12): 1727-1731 (2016) - [c2]Mohamed Suliman, Tarig Ballal, Abla Kammoun, Tareq Y. Al-Naffouri:
Penalized linear regression for discrete ill-posed problems: A hybrid least-squares and mean-squared error approach. EUSIPCO 2016: 403-407 - [c1]Mohamed Suliman, Tarig Ballal, Tareq Y. Al-Naffouri:
Robust regularized least-squares beamforming approach to signal estimation. GlobalSIP 2016: 75-79 - [i3]Mohamed Suliman, Tarig Ballal, Abla Kammoun, Tareq Y. Al-Naffouri:
Supplementary Appendix for: Constrained Perturbation Regularization Approach for Signal Estimation Using Random Matrix Theory. CoRR abs/1606.09510 (2016) - [i2]Mohamed Suliman, Tarig Ballal, Tareq Y. Al-Naffouri:
Robust Regularized Least-Squares Beamforming Approach to Signal Estimation. CoRR abs/1611.06527 (2016) - [i1]Mohamed Suliman, Tarig Ballal, Tareq Y. Al-Naffouri:
Perturbation-Based Regularization for Signal Estimation in Linear Discrete Ill-posed Problems. CoRR abs/1611.09742 (2016)
Coauthor Index
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