Najah M. Alsubaie

According to our database, Najah M. Alsubaie authored at least 7 papers between 2015 and 2023.

Collaborative distances:

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

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 M. 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

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

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

Proceedings of the Medical Image Understanding and Analysis, 2015