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Mohamed Almekkawy
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2020 – today
- 2023
- [j4]Shaikhah Alkhadhr
, Mohamed Almekkawy
Wave Equation Modeling via Physics-Informed Neural Networks: Models of Soft and Hard Constraints for Initial and Boundary Conditions. Sensors 23(5): 2792 (2023) - [j3]Ahmed AL Qurri, Mohamed Almekkawy
Improved UNet with Attention for Medical Image Segmentation. Sensors 23(20): 8589 (2023) - [c20]Shaikhah Alkhadhr, Mohamed Almekkawy:
Modeling the Wave Equation Using Physics-Informed Neural Networks Enhanced With Attention to Loss Weights. ICASSP 2023: 1-5 - [c19]Xilun Liu, Mohamed Almekkawy:
Full Wave Inversion For Ultrasound Tomography Using Physics Based Deep Neural Network. ISBI 2023: 1-4 - [c18]Xilun Liu, Mohamed Almekkawy:
Ultrasound Super Resolution Using Deep Learning Based on Attention Mechanism. ISBI 2023: 1-5 - 2022
- [c17]Mohammad Wasih, Mohamed Almekkawy
Analysis of Advanced Siamese Neural Networks for Motion Tracking of Sonography of Carotid Arteries. EMBC 2022: 2173-2176 - [c16]Sumukha Prasad, Mohamed Almekkawy
DL-UCT: A Deep Learning Framework for Ultrasound Computed Tomography. ISBI 2022: 1-5 - 2021
- [j2]Qinhan Gao
ASU-Net++: A nested U-Net with adaptive feature extractions for liver tumor segmentation. Comput. Biol. Medicine 136: 104688 (2021) - [c15]Mohammad Wasih, Mohamed Almekkawy
A Novel Deep Learning Approach for Tracking Regions of Interest in Ultrasound Images*. EMBC 2021: 4095-4098 - [c14]Shaikhah Alkhadhr
A Combination of Deep Neural Networks and Physics to Solve the Inverse Problem of Burger's Equation. EMBC 2021: 4465-4468 - 2020
- [j1]Brandon Rebholz
Two-dimensional iterative projection method for subsample speckle tracking of ultrasound images. Medical Biol. Eng. Comput. 58(12): 2937-2951 (2020) - [c13]Brandon Rebholz, Mohamed Almekkawy
Efficacy Of Kriging Interpolation In Ultrasound Imaging; Subsample Displacement Estimation. EMBC 2020: 2137-2141 - [c12]Skanda Bharadwaj, Mohamed Almekkawy
Faster Search Algorithm for Speckle Tracking in Ultrasound Images. EMBC 2020: 2142-2146 - [c11]Brandon Rebholz
Analysis of Speckle Tracking Methods: Correlation and RF Interpolation. IPAS 2020: 120-124
2010 – 2019
- 2018
- [c10]James Cunningham, Yi Zheng, Thyagarajan Subramanian
Improved Real-Time Capability for Nonlinear Seperable Harmonic Filtering of Ultrasound Images Using a Damped Regularization Method With In-Vivo Results. EMBC 2018: 891-894 - [c9]Anita Carevic, Ali E. Abdou, Jesse L. Barlow, Mohamed Almekkawy
Using Filter Factors for Regularization in Ultrasound Tomography. EMBC 2018: 895-898 - [c8]Poojitha Kale, J. Vinita Acharya, Jayant Acharya, Thyagarajan Subramanian
Normalized Transfer Entropy as a Tool to Identify Multisource Functional Epileptic Networks. EMBC 2018: 1218-1221 - [c7]James Cunningham, Yi Zheng, Thyagarajan Subramanian
Regularization methods for solving third-order volterra filter with improved convergence speed: In-vivo application. ISBI 2018: 1187-1190 - 2017
- [c6]Mohamed Almekkawy
Optimization of transcostal phased-array refocusing using sparse semidefinite relaxation method. EMBC 2017: 1449-1452 - [c5]Mohamed Almekkawy
Two-dimensional speckle tracking using parabolic polynomial expansion with Riesz transform. ISBI 2017: 201-205 - [c4]James Cunningham, Justice Lee, Thyagarajan Subramanian
Transcranial enhanced Ultrasound Imaging of induced substantia nigra in brain using adaptive Third Order Volterra Filter: In-vivo results. ISBI 2017: 684-687 - [c3]Mohamed Almekkawy
In-vivo transcranial ultrasound imaging of induced Substantia Nigra hyperechogenicity using adaptive sparse Third Order Volterra Filter. NER 2017: 367-370 - 2016
- [c2]Admir Horta, Eric Gernux, Matt Couceiro, Dieter Haemmerich, Mohamed Almekkawy
Body temperature control circuit. UEMCON 2016: 1-4 - 2014
- [c1]Mohamed Almekkawy
An optimized ultrasound digital beamformer with dynamic focusing implemented on FPGA. EMBC 2014: 3296-3299
Coauthor Index
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