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Shujaat Khan
Shujaat Khan
Senior AI Scientist at Digital Technology & Innovation, Siemens Medical Solutions USA, Inc.
Verified email at siemens-healthineers.com - Homepage
Title
Cited by
Cited by
Year
Efficient b-mode ultrasound image reconstruction from sub-sampled rf data using deep learning
YH Yoon, S Khan, J Huh, JC Ye
IEEE transactions on medical imaging 38 (2), 325-336, 2018
1512018
Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound
S Khan, J Huh, JC Ye
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1-1, 2020
1122020
A fractional gradient descent-based rbf neural network
S Khan, I Naseem, MA Malik, R Togneri, M Bennamoun
Circuits, Systems, and Signal Processing 37, 5311-5332, 2018
682018
A novel adaptive kernel for the rbf neural networks
S Khan, I Naseem, R Togneri, M Bennamoun
Circuits, Systems, and Signal Processing 36, 1639-1653, 2017
662017
A novel fractional gradient-based learning algorithm for recurrent neural networks
S Khan, J Ahmad, I Naseem, M Moinuddin
Circuits, Systems, and Signal Processing 37, 593-612, 2018
562018
Afp-lse: Antifreeze proteins prediction using latent space encoding of composition of k-spaced amino acid pairs
M Usman, S Khan, JA Lee
Scientific Reports 10 (1), 7197, 2020
402020
RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions
S Khan, I Naseem, R Togneri, M Bennamoun
IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (1 …, 2018
372018
Deep learning-based universal beamformer for ultrasound imaging
S Khan, J Huh, JC Ye
International Conference on Medical Image Computing and Computer-Assisted …, 2019
332019
ECMSRC: A sparse learning approach for the prediction of extracellular matrix proteins
I Naseem, S Khan, R Togneri, M Bennamoun
Current Bioinformatics 12 (4), 361-368, 2017
282017
Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal
S Khan, J Huh, JC Ye
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021
272021
RVP-FLMS: A Robust Variable Power Fractional LMS Algorithm
J Ahmad, M Usman, S Khan, I Naseem, HJ Syed
6th IEEE International Conference on Control Systems, Computing and …, 2017
272017
Enhanced q-least Mean Square
A Sadiq, S Khan, I Naseem, R Togneri, M Bennamoun
Circuits, Systems, and Signal Processing 38, 4817-4839, 2019
24*2019
Machine Learning-Based Heavy Metal Ion Detection Using Surface-Enhanced Raman Spectroscopy
S Park, J Lee, S Khan, A Wahab, M Kim
Sensors 22 (2), 596, 2022
182022
Comments on “Design of fractional-order variants of complex LMS and NLMs algorithms for adaptive channel equalization”
S Khan, A Wahab, I Naseem, M Moinuddin
Nonlinear Dynamics 101 (2), 1053-1060, 2020
182020
A robust variable step size fractional least mean square (rvss-flms) algorithm
S Khan, M Usman, I Naseem, R Togneri, M Bennamoun
2017 IEEE 13th International Colloquium on Signal Processing & its …, 2017
182017
Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound
S Khan, J Huh, JC Ye
IEEE Transactions on Medical Imaging 41 (2), 266-278, 2021
172021
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks
A Sadiq, MS Ibrahim, M Usman, M Zubair, S Khan
2018 3rd International Conference on Emerging Trends in Engineering …, 2018
162018
Spatio-Temporal RBF Neural Networks
S Khan, J Ahmad, A Sadiq, I Naseem, M Moinuddin
2018 3rd International Conference on Emerging Trends in Engineering …, 2018
162018
Fclms: Fractional complex lms algorithm for complex system identification
J Ahmad, S Khan, M Usman, I Naseem, M Moinuddin, HJ Syed
2017 IEEE 13th International Colloquium on Signal Processing & its …, 2017
162017
Comments on “Fractional extreme value adaptive training method: fractional steepest descent approach”
A Wahab, S Khan
IEEE transactions on neural networks and learning systems 31 (3), 1066-1068, 2019
152019
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