44 citations · 88 across the 13 of their papers we have counts for
21 papers
Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning
Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
Ultrasound (US) is widely used for clinical imaging applications thanks to its real-time and non-invasive nature. However, its lesion detectability is often limited in many applica…
A Novel Quantum Calculus-based Complex Least Mean Square Algorithm (q-CLMS)
Alishba Sadiq, Imran Naseem, Shujaat Khan +3
In this research, a novel adaptive filtering algorithm is proposed for complex domain signal processing. The proposed algorithm is based on Wirtinger calculus and is called as q-Co…
GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications
Seongyong Park, Shujaat Khan, Muhammad Moinuddin +1
In many biological applications, the primary objective of study is to quantify the magnitude of treatment effect between two groups. Cohens'd or strictly standardized mean differen…
Comments on "Generalization of the gradient method with fractional order gradient direction"
Abdul Wahab, Shujaat Khan
In this paper, a detrimental mathematical mistake is pointed out in the proof of \textit{Theorem 1} presented in the paper\textit{ [Generalization of the gradient method with fract…
Switchable Deep Beamformer
Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
Recent proposals of deep beamformers using deep neural networks have attracted significant attention as computational efficient alternatives to adaptive and compressive beamformers…
Comments on "Design of momentum fractional LMS for Hammerstein nonlinear system identification with application to electrically stimulated muscle model"
Abdul Wahab, Shujaat Khan, Farrukh Zeeshan Khan
The purpose of this article is to discuss some aspects of the convergence analysis performed in the paper [Design of momentum fractional LMS for Hammerstein nonlinear system identi…