45 citations · 196 across the 31 of their papers we have counts for
11 papers · 1 filter
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…
AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier
Shujaat Khan, Muhammad Usman, Abdul Wahab
Species living in the extreme cold environment fight against the harsh conditions using antifreeze proteins (AFPs), that manipulates the freezing mechanism of water in more than on…
OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN
Jaeyoung Huh, Shujaat Khan, Jong Chul Ye
Ultrasound imaging (US) often suffers from distinct image artifacts from various sources. Classic approaches for solving these problems are usually model-based iterative approaches…
Multi-Kernel Fusion for RBF Neural Networks
Syed Muhammad Atif, Shujaat Khan, Imran Naseem +2
A simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generatio…
E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding
Seongyong Park, Shujaat Khan, Abdul Wahab
Understanding E3 ligase and target substrate interactions are important for cell biology and therapeutic development. However, experimental identification of E3 target relationship…
Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal
Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
Ultrasound (US) imaging is a fast and non-invasive imaging modality which is widely used for real-time clinical imaging applications without concerning about radiation hazard. Unfo…
Comments on "A new computing approach for power signal modeling using fractional adaptive algorithms"
Abdul Wahab, Shujaat Khan, Farrukh Zeeshan Khan
In this paper, some points to the convergence analysis performed in the paper [A new computing approach for power signal modeling using fractional adaptive algorithms, ISA Transact…
GSSMD: New metric for robust and interpretable assay quality assessment and hit selection
Seongyong Park, Shujaat Khan
In the high-throughput screening (HTS) campaigns, the Z'-factor and strictly standardized mean difference (SSMD) are commonly used to assess the quality of assays and to select hit…