Najah Alsubaie
Najah Alsubaie
Princess Nourah bint Abdulrahman University
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A novel digital score for abundance of tumour infiltrating lymphocytes predicts disease free survival in oral squamous cell carcinoma
M Shaban, SA Khurram, MM Fraz, N Alsubaie, I Masood, S Mushtaq, ...
Scientific reports 9 (1), 13341, 2019
Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
H Aljuaid, N Alturki, N Alsubaie, L Cavallaro, A Liotta
Computer Methods and Programs in Biomedicine 223, 106951, 2022
Stain deconvolution using statistical analysis of multi-resolution stain colour representation
N Alsubaie, N Trahearn, SEA Raza, D Snead, NM Rajpoot
PloS one 12 (1), e0169875, 2017
Copy-move forgery detection using dyadic wavelet transform
N Muhammad, M Hussain, G Muhammad, G Bebis
2011 Eighth international conference computer graphics, imaging and …, 2011
A non-intrusive method for copy-move forgery detection
N Muhammad, M Hussain, G Muhamad, G Bebis
International Symposium on Visual Computing, 516-525, 2011
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma
N Alsubaie, K Sirinukunwattana, SEA Raza, D Snead, N Rajpoot
Medical Imaging 2018: Digital Pathology 10581, 104-113, 2018
A multi-resolution deep learning framework for lung adenocarcinoma growth pattern classification
N Alsubaie, M Shaban, D Snead, A Khurram, N Rajpoot
Medical Image Understanding and Analysis: 22nd Conference, MIUA 2018 …, 2018
Stain deconvolution of histology images via independent component analysis in the wavelet domain
N Alsubaie, SEA Raza, N Rajpoot
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 803-806, 2016
EffiMob-Net: A deep learning-based hybrid model for detection and identification of tomato diseases using leaf images
Z Ullah, N Alsubaie, M Jamjoom, SH Alajmani, F Saleem
Agriculture 13 (3), 737, 2023
A novel deep learning-based mitosis recognition approach and dataset for uterine leiomyosarcoma histopathology
T Zehra, S Anjum, T Mahmood, M Shams, BA Sultan, Z Ahmad, ...
Cancers 14 (15), 3785, 2022
Tumour nuclear morphometrics predict survival in lung adenocarcinoma
NM Alsubaie, D Snead, NM Rajpoot
IEEE Access 9, 12322-12331, 2021
Automated segmentation of brain tumor MRI images using deep learning
S Rajendran, SK Rajagopal, T Thanarajan, K Shankar, S Kumar, ...
IEEE Access, 2023
Automatic detection of diabetic hypertensive retinopathy in fundus images using transfer learning
D Nagpal, N Alsubaie, BO Soufiene, MS Alqahtani, M Abbas, HM Almohiy
Applied Sciences 13 (8), 4695, 2023
Advanced deep learning approaches for accurate brain tumor classification in medical imaging
A Mahmoud, NA Awad, N Alsubaie, SI Ansarullah, MS Alqahtani, ...
Symmetry 15 (3), 571, 2023
A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space.
N Alsubaie, N Trahearn, Shan-E-Ahmed Raza, NM Rajpoot
MIUA, 132-137, 2015
EEG-based epileptic seizure detection using binary dragonfly algorithm and deep neural network
G Yogarajan, N Alsubaie, G Rajasekaran, T Revathi, MS Alqahtani, ...
Scientific Reports 13 (1), 17710, 2023
Use of a novel deep learning open-source model for quantification of Ki-67 in breast cancer patients in Pakistan: a comparative study between the manual and automated methods
T Zehra, N Jaffar, M Shams, Q Chundriger, A Ahmed, F Anum, N Alsubaie, ...
Diagnostics 13 (19), 3105, 2023
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival
N Alsubaie, SEA Raza, D Snead, NM Rajpoot
IEEE Access 11, 23335-23346, 2023
Machine learning-based intelligent security framework for secure cloud key management
S Ahmad, S Mehfuz, S Urooj, N Alsubaie
Cluster Computing, 1-27, 2024
TVFx–CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique
ST Ahmed, SM Basha, M Venkatesan, SK Mathivanan, S Mallik, ...
BMC Medical Imaging 23 (1), 146, 2023
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