Najah Alsubaie

According to our database, Najah Alsubaie authored at least 14 papers between 2015 and 2026.

Collaborative distances:

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

2026

HybridDeepSynergy: A hybrid deep learning model integrating CNN, LSTM, and attention mechanisms for cancer drug synergy prediction.

Sajid Naveed, Mujtaba Husnain, Najah Alsubaie

Comput. Biol. Medicine, 2026

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

IEEE Access, 2026

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

Comput. Methods Programs Biomed., 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

IEEE Access, 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

IEEE Access, 2025

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

Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, 2025

2023

Automated Segmentation of Brain Tumor MRI Images Using Deep Learning.

Surendran Rajendran, Sureshkumar Rajagopal, Tamilvizhi Thanarajan, K. Shankar, Sachin Kumar, Najah M. Alsubaie, Mohamad Khairi Ishak, Samih Mohemmed Mostafa

IEEE Access, 2023

Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival.

Najah Alsubaie, Shan-E-Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot

IEEE Access, 2023

2021

Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma.

Najah M. Alsubaie, David R. J. Snead, Nasir M. Rajpoot

IEEE Access, 2021

2018

Automatic analysis of lung adenocarcinoma histology whole slide images.

Najah Mohammed Alsubaie

PhD thesis, 2018

A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification.

Najah Alsubaie, Muhammad Shaban, David R. J. Snead, Syed Ali Khurram, Nasir M. Rajpoot

Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma.

Najah Alsubaie, Korsuk Sirinukunwattana, Shan E Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

2016

Stain deconvolution of histology images via independent component analysis in the wavelet domain.

Najah Alsubaie, Shan-E-Ahmed Raza, Nasir M. Rajpoot

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space.

Najah Alsubaie, Nicholas Trahearn, Shan-E-Ahmed Raza, Nasir M. Rajpoot

Proceedings of the Medical Image Understanding and Analysis, 2015