A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space. - Najah Alsubaie 001; Nicholas Trahearn; Shan-E-Ahmed Raza; Nasir M. Rajpoot (MIUA, 2015)

Stain deconvolution of histology images via independent component analysis in the wavelet domain. - Najah Alsubaie 001; Shan-E-Ahmed Raza; Nasir M. Rajpoot (ISBI, 2016)

A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma. - Najah Alsubaie 001; Korsuk Sirinukunwattana; Shan E Ahmed Raza; David R. J. Snead; Nasir M. Rajpoot (Digital Pathology, 2018)

A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification. - Najah Alsubaie 001; Muhammad Shaban; David R. J. Snead; Syed Ali Khurram; Nasir M. Rajpoot (MIUA, 2018)

Automatic analysis of lung adenocarcinoma histology whole slide images. - Najah Mohammed Alsubaie (2018)

Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. - Najah M. Alsubaie 001; David R. J. Snead; Nasir M. Rajpoot (IEEE Access, 2021)

Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival. - Najah Alsubaie 001; Shan-E-Ahmed Raza; David R. J. Snead; Nasir M. Rajpoot (IEEE Access, 2023)

Automated Segmentation of Brain Tumor MRI Images Using Deep Learning. - Surendran Rajendran; Sureshkumar Rajagopal; Tamilvizhi Thanarajan; K. Shankar 002; Sachin Kumar 001; Najah M. Alsubaie 001; Mohamad Khairi Ishak; Samih Mohemmed Mostafa (IEEE Access, 2023)

Dual-Modality UAV Detection and Classification under Low-Visibility: A Synth-Real RGB-IR Dataset and Benchmark for Aerial Surveillance. - Hatoun Alshoail; Sarah Alruwais; Juri Alqorashi; Najah Alsubaie 001 (BDCAT, 2025)

Enhancing Object Detection in Assistive Technology for the Visually Impaired: A DETR-Based Approach. - Sunnia Ikram; Imran Sarwar Bajwa; Sujan Gyawali; Amna Ikram; Najah Alsubaie 001 (IEEE Access, 2025)

Drug Efficacy Recommendation System of Glioblastoma (GBM) Using Deep Learning. - Sajid Naveed; Mujtaba Husnain; Ali Samad; Amna Ikram; Hina Afreen; Ghulam Gilanie; Najah Alsubaie 001 (IEEE Access, 2025)

HybridDLDR: A hybrid deep learning-based drug resistance prediction system of Glioblastoma (GBM) using molecular descriptors and gene expression data. - Sajid Naveed; Mujtaba Husnain; Najah Alsubaie 001 (Comput. Methods Programs Biomed., 2025)

Transformer-Inspired Deep Learning Framework for Multi-Label Drug Recommendation Using Clinical Notes: A Step Toward Personalized Medicine. - Sajid Naveed; Mujtaba Husnain; Amna Ikram; Sunnia Ikram; Muhammad Jawad Babar; Najah Alsubaie 001 (IEEE Access, 2026)

HybridDeepSynergy: A hybrid deep learning model integrating CNN, LSTM, and attention mechanisms for cancer drug synergy prediction. - Sajid Naveed; Mujtaba Husnain; Najah Alsubaie 001 (Comput. Biol. Medicine, 2026)