Shujaat Khan

Orcid: 0000-0001-9676-6817

According to our database1, Shujaat Khan authored at least 50 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Multi-Kernel Fusion for RBF Neural Networks.
Neural Process. Lett., April, 2023

GMDM: A generalized multi-dimensional distribution overlap metric for data and model quality evaluation.
Digit. Signal Process., April, 2023

Multipolar Acoustic Source Reconstruction From Sparse Far-Field Data Using ALOHA.
IEEE Signal Process. Lett., 2023

Tunable image quality control of 3-D ultrasound using switchable CycleGAN.
Medical Image Anal., 2023

A novel quantum calculus-based complex least mean square algorithm (q-CLMS).
Appl. Intell., 2023

Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Performance Analysis of Fractional Learning Algorithms.
IEEE Trans. Signal Process., 2022

Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound.
IEEE Trans. Medical Imaging, 2022

Machine Learning-Based Heavy Metal Ion Detection Using Surface-Enhanced Raman Spectroscopy.
Sensors, 2022

AFP-SRC: identification of antifreeze proteins using sparse representation classifier.
Neural Comput. Appl., 2022

Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning.
CoRR, 2022

Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN.
CoRR, 2021

Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Unsupervised Deep Learning For Accelerated High Quality Echocardiography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Switchable Deep Beamformer For Ultrasound Imaging Using Adain.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Comments on "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach".
IEEE Trans. Neural Networks Learn. Syst., 2020

Comments on "Design of momentum fractional LMS for Hammerstein nonlinear system identification with application to electrically stimulated muscle model".
CoRR, 2020

AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier.
CoRR, 2020

Comments on "Generalization of the gradient method with fractional order gradient direction".
CoRR, 2020

Switchable Deep Beamformer.
CoRR, 2020

E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding.
CoRR, 2020

OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN.
CoRR, 2020

Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal.
CoRR, 2020

Comments on "A new computing approach for power signal modeling using fractional adaptive algorithms".
CoRR, 2020

GSSMD: New metric for robust and interpretable assay quality assessment and hit selection.
CoRR, 2020

GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning.
IEEE Trans. Medical Imaging, 2019

Enhanced <i>q</i>-least Mean Square.
Circuits Syst. Signal Process., 2019

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks.
CoRR, 2019

Spatio-Temporal RBF Neural Networks.
CoRR, 2019

Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound.
CoRR, 2019

Universal Deep Beamformer for Variable Rate Ultrasound Imaging.
CoRR, 2019

Deep Learning-Based Universal Beamformer for Ultrasound Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

q-LMF: Quantum Calculus-Based Least Mean Fourth Algorithm.
Proceedings of the Fourth International Congress on Information and Communication Technology, 2019

2018
RAFP-Pred: Robust Prediction of Antifreeze Proteins Using Localized Analysis of n-Peptide Compositions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

A Fractional Gradient Descent-Based RBF Neural Network.
Circuits Syst. Signal Process., 2018

A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks.
Circuits Syst. Signal Process., 2018

Comments on "Momentum fractional LMS for power signal parameter estimation".
CoRR, 2018

Enhanced q-Least Mean Square.
CoRR, 2018

2017
A Novel Adaptive Kernel for the RBF Neural Networks.
Circuits Syst. Signal Process., 2017

Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging.
CoRR, 2017

A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm.
CoRR, 2017

SIT: A Lightweight Encryption Algorithm for Secure Internet of Things.
CoRR, 2017

VP-FLMS: A Novel Variable Power Fractional LMS Algorithm.
Proceedings of the Ninth International Conference on Ubiquitous and Future Networks, 2017

FLMF: Fractional least mean fourth algorithm for channel estimation in non-Gaussian environment.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017

2015
Security Analysis of Secure Force Algorithm for Wireless Sensor Networks.
CoRR, 2015

FPGA implementation of 64 bit Secure Force algorithm using full loop-unroll architecture.
Proceedings of the 2015 IEEE International Conference on Control System, 2015

2014
Peer-to-Peer Network Simulators: an Analytical Review.
CoRR, 2014

Symmetric Algorithm Survey: A Comparative Analysis.
CoRR, 2014


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