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Author

Iftikhar Naseer

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Open access Oct 2026

Ensemble Feature selection with Adaptive Weighted voting for Robust Breast Cancer Diagnosis

Breast cancer is a significant disease prevalent in many women around the globe and one of the most common causes of cancer death worldwide, this underscores the demand for trustworthy and precise computer-aided diagnostic tools. Typically, high-dimensional medical datasets possess redundant and irrelevant features whi...

Muhammad Umair, Hafiz Muhammad Tayyab Khushi, Tehreem Masood et al. · 0 citations
Open access Sep 2026

A Staged Deep Learning Framework for Endometriosis-Aware Pelvic MRI Analysis Using UT-EndoMRI

Endometriosis remains challenging to assess on pelvic MRI because lesions are often small, heterogeneous, and poorly distinguished from surrounding anatomy. This study developed a reproducible two-stage framework using the public UT-EndoMRI dataset to investigate whether lesion-aware segmentation can provide informativ...

Mursleen M, Iftikhar Naseer · 0 citations
Open access Sep 2026

Early Detection and Multi-class Classification of Pigmented Skin Lesions Using Deep Learning and Explainable AI

Pigmented skin lesions must be detected early and accurately: the chances of survival from melanoma are greater than 90% if it is detected early. Manual dermoscopic analysis is, however, time-consuming and subjective. In this paper, the authors propose a novel network-level fusion deep learning model with Explainable A...

Fatima Abbas, Iftikhar Naseer · 0 citations
Aug 2026

FusionNetX: A Deep Feature Fusion Model Leveraging MRI and Deep Learning for Enhanced Brain Tumor Detection.

Results from various performance evaluation metrics indicate that the proposed fusion-fusion-based DL model (FusionNetX) can accurately detect and predict brain tumors and help health practitioners make timely decisions.

Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Iftikhar Naseer et al. · 0 citations

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