activity
20202026
most citedWavelet based multivariate signal denoising using Mahalanobis distance and EDF statistics

27 citations · 40 across the 8 of their papers we have counts for

collaborators

11 papers

eess.IV2026

HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography

Khuram Naveed, Ruben Pauwels

Cone-beam computed tomography (CBCT) is widely used in dental and maxillofacial imaging, but low-dose acquisition introduces strong, spatially varying noise that degrades soft-tiss…

eess.SP2025

A Fully Multivariate Multifractal Detrended Fluctuation Analysis Method for Fault Diagnosis

Khuram Naveed, Naveed ur Rehman

We propose a fully multivariate generalization of multifractal detrended fluctuation analysis (MFDFA) and leverage it to develop a fault diagnosis framework for multichannel machin…

cs.CV2025

A Contrastive Learning Framework for Breast Cancer Detection

Samia Saeed, Khuram Naveed

Breast cancer, the second leading cause of cancer-related deaths globally, accounts for a quarter of all cancer cases [1]. To lower this death rate, it is crucial to detect tumors…

cs.LG2025

InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation

Sanyam Jain, Khuram Naveed, Illia Oleksiienko +2

This work introduces InJecteD, a framework for interpreting Denoising Diffusion Probabilistic Models (DDPMs) by analyzing sample trajectories during the denoising process of 2D poi…

eess.IV2025★ 4 cited

Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning

Johan Andreas Balle Rubak, Khuram Naveed, Sanyam Jain +3

Objectives: Federated learning (FL) may mitigate privacy constraints, heterogeneous data quality, and inconsistent labeling in dental diagnostic AI. We compared FL with centralized…

eess.IV2025

NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs

Khuram Naveed, Bruna Neves de Freitas, Ruben Pauwels

Convolutional denoising autoencoders (DAEs) are powerful tools for image restoration. However, they inherit a key limitation of convolutional neural networks (CNNs): they tend to r…

eess.IV2023★ 1 cited

EDDense-Net: Fully Dense Encoder Decoder Network for Joint Segmentation of Optic Cup and Disc

Mehwish Mehmood, Khuram Naveed, Khursheed Aurangzeb +3

Glaucoma is an eye disease that causes damage to the optic nerve, which can lead to visual loss and permanent blindness. Early glaucoma detection is therefore critical in order to…

eess.SP2023

A Tutorial on Modeling and Control of Slippage in Wheeled Mobile Robots

Khuram Naveed

This tutorial intends to present a deep insight of the slip and skid problem in WMRs. Specifically, we present a brief introduction to slippage and the limitations it imposes on WM…

eess.SP2020★ 8 cited

Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis

Khuram Naveed, Sidra Mukhtar, Naveed ur Rehman

We propose a novel multivariate signal denoising method that performs long-range correlation analysis of multiple modes in input data by considering inherent inter-channel dependen…

eess.SP2020

A Statistical Approach to Signal Denoising Based on Data-driven Multiscale Representation

Khuram Naveed, Muhammad Tahir Akhtar, Muhammad Faisal Siddiqui +1

We develop a data-driven approach for signal denoising that utilizes variational mode decomposition (VMD) algorithm and Cramer Von Misses (CVM) statistic. In comparison with the cl…

eess.SP2020★ 27 cited

Wavelet based multivariate signal denoising using Mahalanobis distance and EDF statistics

Khuram Naveed, Naveed ur Rehman

A multivariate signal denoising method is proposed which employs a novel multivariate goodness of fit (GoF) test that is applied at multiple data scales obtained from discrete wave…