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), 1-13, 2019
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 Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification
N Alsubaie, M Shaban, D Snead, A Khurram, N Rajpoot
Annual Conference on Medical Image Understanding and Analysis, 3-11, 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
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, 105810E, 2018
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
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma
NM Alsubaie, D Snead, NM Rajpoot
IEEE Access 9, 12322-12331, 2021
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