Symmetric Algorithm Survey: A Comparative Analysis. - Mansoor Ebrahim; Shujaat Khan; UmerBin Khalid (CoRR, 2014)

Peer-to-Peer Network Simulators: an Analytical Review. - Mansoor Ebrahim; Shujaat Khan; Syed Sheraz Ul Hasan Mohani (CoRR, 2014)

FPGA implementation of 64 bit Secure Force algorithm using full loop-unroll architecture. - Shujaat Khan; Muhammad Sohail Ibrahim; Haseeb Amjad; Kafeel Ahmed Khan; Mansoor Ebrahim (ICCSCE, 2015)

Security Analysis of Secure Force Algorithm for Wireless Sensor Networks. - Shujaat Khan; Muhammad Sohail Ibrahim; Kafeel Ahmed Khan; Mansoor Ebrahim (CoRR, 2015)

FLMF: Fractional least mean fourth algorithm for channel estimation in non-Gaussian environment. - Shujaat Khan; Naveed Ahmed 004; Muhammad Ammar Malik; Imran Naseem; Roberto Togneri; Mohammed Bennamoun (ICTC, 2017)

VP-FLMS: A Novel Variable Power Fractional LMS Algorithm. - Shujaat Khan; Muhammad Usman; Imran Naseem; Roberto Togneri; Mohammed Bennamoun (ICUFN, 2017)

SIT: A Lightweight Encryption Algorithm for Secure Internet of Things. - Muhammad Usman; Irfan Ahmed 003; Muhammad Imran Aslam; Shujaat Khan; Usman Ali Shah (CoRR, 2017)

A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm. - Shujaat Khan; Muhammad Usman; Imran Naseem; Roberto Togneri; Mohammed Bennamoun (CoRR, 2017)

Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging. - Yeo Hun Yoon; Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2017)

A Novel Adaptive Kernel for the RBF Neural Networks. - Shujaat Khan; Imran Naseem; Roberto Togneri; Mohammed Bennamoun (Circuits Syst. Signal Process., 2017)

Enhanced q-Least Mean Square. - Shujaat Khan; Alishba Sadiq; Imran Naseem; Roberto Togneri; Mohammed Bennamoun (CoRR, 2018)

Comments on "Momentum fractional LMS for power signal parameter estimation". - Shujaat Khan; Imran Naseem; Alishba Sadiq; Jawwad Ahmad; Muhammad Moinuddin (CoRR, 2018)

A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks. - Shujaat Khan; Jawwad Ahmad; Imran Naseem; Muhammad Moinuddin (Circuits Syst. Signal Process., 2018)

A Fractional Gradient Descent-Based RBF Neural Network. - Shujaat Khan; Imran Naseem; Muhammad Ammar Malik; Roberto Togneri; Mohammed Bennamoun (Circuits Syst. Signal Process., 2018)

RAFP-Pred: Robust Prediction of Antifreeze Proteins Using Localized Analysis of n-Peptide Compositions. - Shujaat Khan; Imran Naseem; Roberto Togneri; Mohammed Bennamoun (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

q-LMF: Quantum Calculus-Based Least Mean Fourth Algorithm. - Alishba Sadiq; Muhammad Usman; Shujaat Khan; Imran Naseem; Muhammad Moinuddin; Ubaid M. Al-Saggaf (ICICT (1), 2019)

Deep Learning-Based Universal Beamformer for Ultrasound Imaging. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (MICCAI (5), 2019)

Universal Deep Beamformer for Variable Rate Ultrasound Imaging. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2019)

Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2019)

Spatio-Temporal RBF Neural Networks. - Shujaat Khan; Jawwad Ahmad; Alishba Sadiq; Imran Naseem; Muhammad Moinuddin (CoRR, 2019)

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks. - Alishba Sadiq; Muhammad Sohail Ibrahim; Muhammad Usman; Muhammad Zubair; Shujaat Khan (CoRR, 2019)

Enhanced q-least Mean Square. - Alishba Sadiq; Shujaat Khan; Imran Naseem; Roberto Togneri; Mohammed Bennamoun (Circuits Syst. Signal Process., 2019)

Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning. - Yeo Hun Yoon; Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (IEEE Trans. Medical Imaging, 2019)

GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications. - Seongyong Park; Shujaat Khan; Muhammad Moinuddin; Ubaid M. Al-Saggaf (BIBM, 2020)

GSSMD: New metric for robust and interpretable assay quality assessment and hit selection. - Seongyong Park; Shujaat Khan (CoRR, 2020)

Comments on "A new computing approach for power signal modeling using fractional adaptive algorithms". - Abdul Wahab 002; Shujaat Khan; Farrukh Zeeshan Khan (CoRR, 2020)

Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2020)

OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN. - Jaeyoung Huh; Shujaat Khan; Jong Chul Ye (CoRR, 2020)

E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding. - Seongyong Park; Shujaat Khan; Abdul Wahab 002 (CoRR, 2020)

Switchable Deep Beamformer. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2020)

Comments on "Generalization of the gradient method with fractional order gradient direction". - Abdul Wahab 002; Shujaat Khan (CoRR, 2020)

AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier. - Shujaat Khan; Muhammad Usman (CoRR, 2020)

Comments on "Design of momentum fractional LMS for Hammerstein nonlinear system identification with application to electrically stimulated muscle model". - Abdul Wahab 002; Shujaat Khan; Farrukh Zeeshan Khan (CoRR, 2020)

Comments on "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach". - Abdul Wahab 002; Shujaat Khan (IEEE Trans. Neural Networks Learn. Syst., 2020)

Switchable Deep Beamformer For Ultrasound Imaging Using Adain. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (ISBI, 2021)

Unsupervised Deep Learning For Accelerated High Quality Echocardiography. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (ISBI, 2021)

Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (DART/FAIR@MICCAI, 2021)

Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN. - Jaeyoung Huh; Shujaat Khan; Sungjin Choi; Dongkuk Shin; Eun Sun Lee; Jong Chul Ye (CoRR, 2021)

Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network. - Jaeyoung Huh; Shujaat Khan; Jong Chul Ye (ICASSP, 2022)

Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (CoRR, 2022)

AFP-SRC: identification of antifreeze proteins using sparse representation classifier. - Muhammad Usman; Shujaat Khan; Seongyong Park; Abdul Wahab 002 (Neural Comput. Appl., 2022)

Machine Learning-Based Heavy Metal Ion Detection Using Surface-Enhanced Raman Spectroscopy. - Seongyong Park; Jaeseok Lee; Shujaat Khan; Abdul Wahab 002; Minseok Kim (Sensors, 2022)

Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound. - Shujaat Khan; Jaeyoung Huh; Jong Chul Ye (IEEE Trans. Medical Imaging, 2022)

Performance Analysis of Fractional Learning Algorithms. - Abdul Wahab 002; Shujaat Khan; Imran Naseem; Jong Chul Ye (IEEE Trans. Signal Process., 2022)

Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN. - Jaeyoung Huh; Shujaat Khan; Eun Sun Lee; Jong Chul Ye (ICASSP, 2023)

A novel quantum calculus-based complex least mean square algorithm (q-CLMS). - Alishba Sadiq; Imran Naseem; Shujaat Khan; Muhammad Moinuddin; Roberto Togneri; Mohammed Bennamoun (Appl. Intell., 2023)

Tunable image quality control of 3-D ultrasound using switchable CycleGAN. - Jaeyoung Huh; Shujaat Khan; Sungjin Choi; Dongkuk Shin; Jeong Eun Lee; Eun Sun Lee; Jong Chul Ye (Medical Image Anal., 2023)

Multipolar Acoustic Source Reconstruction From Sparse Far-Field Data Using ALOHA. - Yukun Guo; Shujaat Khan; Abdul Wahab 002; Xianchao Wang (IEEE Signal Process. Lett., 2023)

GMDM: A generalized multi-dimensional distribution overlap metric for data and model quality evaluation. - Seongyong Park; Muhammad Sohail Ibrahim; Abdul Wahab 002; Shujaat Khan (Digit. Signal Process., 2023)

Multi-Kernel Fusion for RBF Neural Networks. - Syed Muhammad Atif; Shujaat Khan; Imran Naseem; Roberto Togneri; Mohammed Bennamoun (Neural Process. Lett., 2023)

Anticancer Peptides Classification with High-Accuracy Feature Representation Using Long Short-Term Memory. - Nazer Al Tahifah; Muhammad Sohail Ibrahim; Shujaat Khan (BIBM, 2024)

Generating Anticancer Peptides Sequences Using Seq2Seq Modeling and Machine Learning Methods. - Muhammad Sohail Ibrahim; Saheed A. Bello; Yunsang Kwak; Minseok Kim; Shujaat Khan (IEEE Access, 2025)

Improving Face Presentation Attack Detection Through Deformable Convolution and Transfer Learning. - Shakeel Muhammad Ibrahim; Muhammad Sohail Ibrahim; Shujaat Khan; Young Woong Ko; Jeong-Gun Lee (IEEE Access, 2025)

Anticancer Peptides Classification Using Long-Short-Term Memory With Novel Feature Representation. - Nazer Al Tahifah; Muhammad Sohail Ibrahim; Erum Rehman; Naveed Ahmed 004; Abdul Wahab 002; Shujaat Khan (IEEE Access, 2025)

Spatio-temporal deep learning for improved face presentation attack detection. - Shujaat Khan; Taha Hasan Masood Siddique; Muhammad Sohail Ibrahim; Abdul Jabbar Siddiqui; Kejie Huang (Knowl. Based Syst., 2025)

AdvSpoofGuard: Optimal transport driven robust face presentation attack detection system. - Taha Hasan Masood Siddique; Shujaat Khan; Zeyu Wang 010; Kejie Huang (Knowl. Based Syst., 2025)

Deep learning frameworks for MRI-based diagnosis of neurological disorders: a systematic review and meta-analysis. - Syed Saad Azhar Ali; Khuhed Memon; Norashikin Yahya; Shujaat Khan (Artif. Intell. Rev., 2025)