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Najah Alsubaie 0001
Person information
- affiliation: Princess Nourah bint Abdulrahman University (PNU), Department of Computer Sciences, College of Computer and Information Sciences, Saudi Arabia
- affiliation (PhD 2018): University of Warwick, Department of Computer Science, Tissue Image Analytics (TIA) Laboratory, Coventry, UK
Other persons with the same name
- Najah Alsubaie — disambiguation page
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2020 – today
- 2026
- [j8]Sajid Naveed
, Mujtaba Husnain
, Amna Ikram
, Sunnia Ikram
, Muhammad Jawad Babar
, Najah Alsubaie
:
Transformer-Inspired Deep Learning Framework for Multi-Label Drug Recommendation Using Clinical Notes: A Step Toward Personalized Medicine. IEEE Access 14: 46590-46606 (2026) - [j7]Sajid Naveed
, Mujtaba Husnain
, Najah Alsubaie:
HybridDeepSynergy: A hybrid deep learning model integrating CNN, LSTM, and attention mechanisms for cancer drug synergy prediction. Comput. Biol. Medicine 203: 111471 (2026) - 2025
- [j6]Sajid Naveed
, Mujtaba Husnain
, Ali Samad, Amna Ikram
, Hina Afreen
, Ghulam Gilanie
, Najah Alsubaie
:
Drug Efficacy Recommendation System of Glioblastoma (GBM) Using Deep Learning. IEEE Access 13: 10398-10411 (2025) - [j5]Sunnia Ikram
, Imran Sarwar Bajwa, Sujan Gyawali
, Amna Ikram
, Najah Alsubaie
:
Enhancing Object Detection in Assistive Technology for the Visually Impaired: A DETR-Based Approach. IEEE Access 13: 71647-71661 (2025) - [j4]Sajid Naveed
, Mujtaba Husnain, Najah Alsubaie:
HybridDLDR: A hybrid deep learning-based drug resistance prediction system of Glioblastoma (GBM) using molecular descriptors and gene expression data. Comput. Methods Programs Biomed. 270: 108913 (2025) - [c5]Hatoun Alshoail
, Sarah Alruwais
, Juri Alqorashi
, Najah Alsubaie
:
Dual-Modality UAV Detection and Classification under Low-Visibility: A Synth-Real RGB-IR Dataset and Benchmark for Aerial Surveillance. BDCAT 2025: 12:1-12:7 - 2023
- [j3]Najah Alsubaie
, Shan-E-Ahmed Raza
, David R. J. Snead, Nasir M. Rajpoot:
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival. IEEE Access 11: 23335-23346 (2023) - [j2]Surendran Rajendran
, Sureshkumar Rajagopal
, Tamilvizhi Thanarajan
, K. Shankar
, Sachin Kumar
, Najah M. Alsubaie, Mohamad Khairi Ishak
, Samih Mohemmed Mostafa
:
Automated Segmentation of Brain Tumor MRI Images Using Deep Learning. IEEE Access 11: 64758-64768 (2023) - 2021
- [j1]Najah M. Alsubaie
, David R. J. Snead, Nasir M. Rajpoot:
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. IEEE Access 9: 12322-12331 (2021)
2010 – 2019
- 2018
- [b1]Najah Mohammed Alsubaie:
Automatic analysis of lung adenocarcinoma histology whole slide images. University of Warwick, Coventry, UK, 2018 - [c4]Najah Alsubaie, Korsuk Sirinukunwattana, Shan E Ahmed Raza
, David R. J. Snead, Nasir M. Rajpoot
:
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma. Digital Pathology 2018: 105810E - [c3]Najah Alsubaie, Muhammad Shaban
, David R. J. Snead, Syed Ali Khurram, Nasir M. Rajpoot
:
A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification. MIUA 2018: 3-11 - 2016
- [c2]Najah Alsubaie, Shan-E-Ahmed Raza
, Nasir M. Rajpoot
:
Stain deconvolution of histology images via independent component analysis in the wavelet domain. ISBI 2016: 803-806 - 2015
- [c1]Najah Alsubaie, Nicholas Trahearn, Shan-E-Ahmed Raza, Nasir M. Rajpoot:
A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space. MIUA 2015: 132-137
Coauthor Index
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last updated on 2026-04-16 01:59 CEST by the dblp team
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