Fazal Hadi

According to our database, Fazal Hadi authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

BreastUS-Net: An Attention-Guided Dual-Branch Network With Feature Fusion for Fine-Grained Breast Tumor Classification in Ultrasound Imaging.

Sohaib Asif, Di Ou, Fazal Hadi, Yuqi Yan, Enyu Wang, Yang Zhang, Dong Xu

IEEE J. Biomed. Health Informatics, May, 2026

The impact of large language models on medical research and patient care: A systematic review of current trends, challenges, and future innovations.

Sohaib Asif, Fazal Hadi, Qurrat-ul-ain, Yuqi Yan, Vicky Yang Wang, Dong Xu

Comput. Sci. Rev., 2026

MACSENet: A novel lightweight CNN with multi-scale atrous convolutions and attention mechanism for accurate lung cancer detection.

Fazal Hadi, Omair Bilal, Sohaib Asif

Appl. Soft Comput., 2026

2025

JuryFusionNet: a Condorcet's jury theorem-based CNN ensemble for enhanced monkeypox detection from skin lesion images.

Sohaib Asif, Fazal Hadi

Health Inf. Sci. Syst., December, 2025

DSSFT: Dual branch spectral-spatial feature fusion transformer network for hyperspectral image unmixing.

Fazal Hadi, Ghulam Farooque, Yuantian Shao, Jingxiang Yang, Liang Xiao

Earth Sci. Informatics, April, 2025

Integrating in vitro, network pharmacology, and molecular docking approaches to uncover the antidiabetic potential of Tylophora hirsuta.

Fazal Hadi, Fatima Noor, Haseeba Sardar, Hany W. Darwish, Usman Ali Ashfaq, Ashraf Ali Khan, Maria Daglia, Haroon Khan

Comput. Biol. Chem., 2025

2024

MSTSENet: Multiscale Spectral-Spatial Transformer with Squeeze and Excitation network for hyperspectral image classification.

Irfan Ahmad, Ghulam Farooque, Qichao Liu, Fazal Hadi, Liang Xiao

Eng. Appl. Artif. Intell., 2024

2023

PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method.

Matee Ullah, Fazal Hadi, Jiangning Song, Dong-Jun Yu

Bioinform., January, 2023

2022

DHCAE: Deep Hybrid Convolutional Autoencoder Approach for Robust Supervised Hyperspectral Unmixing.

Fazal Hadi, Jingxiang Yang, Matee Ullah, Irfan Ahmad, Ghulam Farooque, Liang Xiao

Remote. Sens., 2022

PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data.

Matee Ullah, Fazal Hadi, Jiangning Song, Dong-Jun Yu

Bioinform., 2022

2021

PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection.

Matee Ullah, Ke Han, Fazal Hadi, Jian Xu, Jiangning Song, Dong-Jun Yu

Briefings Bioinform., 2021