Maliazurina Saad

According to our database, Maliazurina Saad authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

PD-L1 Expression Prediction Using Scalable Multi Instance Transformer.

Eman Showkatian, Amgad Muneer, Maliazurina B. Saad, Lingzhi Hong, John V. Heymach, Jianjun Zhang, Jia Wu

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024

Estimating the Average Treatment Effect Using Weighting Methods in Lung Cancer Immunotherapy.

Maliazurina B. Saad, Qasem Al-Tashi, Lingzhi Hong, Wentao Li, Shenduo Li, John V. Heymach, Yanyan Lou, Natalie I. Vokes, Jianjun Zhang, Jia Wu

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024

2023

SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers.

Qasem Al-Tashi, Maliazurina B. Saad, Ajay Sheshadri, Carol C. Wu, Joe Y. Chang, Bissan Al-Lazikani, Christopher Gibbons, Natalie I. Vokes, Jianjun Zhang, J. Jack Lee, John V. Heymach, David A. Jaffray, Seyedali Mirjalili, Jia Wu

Patterns, August, 2023

Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection.

Qasem Al-Tashi, Tareq M. Shami, Said Jadid Abdulkadir, Emelia Akashah Patah Akhir, Ayed Alwadain, Hitham Alhussain, Alawi Alqushaibi, Helmi Md Rais, Amgad Muneer, Maliazurina B. Saad, Jia Wu, Seyedali Mirjalili

Comput. Syst. Sci. Eng., 2023

2022

Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma.

Pingjun Chen, Maliazurina B. Saad, Frank R. Rojas, Morteza Salehjahromi, Muhammad Aminu, Rukhmini Bandyopadhyay, Lingzhi Hong, Kingsley Ebare, Carmen Behrens, Don L. Gibbons, Neda Kalhor, John V. Heymach, Ignacio I. Wistuba, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

2020

Leveraging hybrid biomarkers in clinical endpoint prediction.

Maliazurina Saad, Ikhyun Lee

BMC Medical Informatics Decis. Mak., 2020

2019

Automated delineation of non-small cell lung cancer: A step toward quantitative reasoning in medical decision science.

Maliazurina Saad, Ikhyun Lee, Tae-Sun Choi

Int. J. Imaging Syst. Technol., 2019

Automated integrated system for stained neuron detection: An end-to-end framework with a high negative predictive rate.

Jiseok Yoon, Eun Young Choi, Maliazurina Saad, Tae-Sun Choi

Comput. Methods Programs Biomed., 2019

2018

Computer-assisted subtyping and prognosis for non-small cell lung cancer patients with unresectable tumor.

Maliazurina Saad, Tae-Sun Choi

Comput. Medical Imaging Graph., 2018

2017

Deciphering unclassified tumors of non-small-cell lung cancer through radiomics.

Maliazurina Saad, Tae-Sun Choi

Comput. Biol. Medicine, 2017