Deciphering unclassified tumors of non-small-cell lung cancer through radiomics. - Maliazurina Saad; Tae-Sun Choi (Comput. Biol. Medicine, 2017)

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)

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)

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)

Leveraging hybrid biomarkers in clinical endpoint prediction. - Maliazurina Saad; Ikhyun Lee (BMC Medical Informatics Decis. Mak., 2020)

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 002; Rukhmini Bandyopadhyay; Lingzhi Hong; Kingsley Ebare; Carmen Behrens; Don L. Gibbons; Neda Kalhor; John V. Heymach; et al. (CMMCA@MICCAI, 2022)

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 009; Seyedali Mirjalili (Comput. Syst. Sci. Eng., 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; et al. (Patterns, 2023)

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 009 (CMMCA@MICCAI, 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 009 (CMMCA@MICCAI, 2024)

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research. - Amgad Muneer; Muhammad Waqas 007; Maliazurina B. Saad; Eman Showkatian; Rukhmini Bandyopadhyay; Hui Xu; Wentao Li; Joe Y. Chang; Zhongxing Liao; Cara Haymaker; Luisa Solis-Soto; Carol C. Wu; et al. (CoRR, 2025)