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Journal for Immunotherapy of Cancer|October 6, 2025
Causal AI-based clinical and radiomic analysis for optimizing patient selection in combined immunotherapy and SABR in early-stage NSCLC: a secondary analysis of the phase II I-SABR trialMaliazurina B Saad, Eman Showkatian, Vivek Verma, et al.
JCO Global Oncology|July 20, 2023
Addressing the Global Expertise Gap in Radiation Oncology: The Radiation Planning AssistantLaurence Court, Ajay Aggarwal, Hester Burger, et al.
Medrxiv : the Preprint Server for Health Sciences|May 4, 2026
CT-Based Deep Foundation Model for Predicting Immune Checkpoint Inhibitor-Induced Pneumonitis Risk in Lung CancerAmgad Muneer, Eman Showkatian, Yuliya Kitsel, et al.
JCO Clinical Cancer Informatics|December 6, 2023
Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence-Ready Informatics Ecosystem for Radiation OncologyDanielle S Bitterman, Michael F Gensheimer, David Jaffray, et al.
Cancers|January 8, 2023
Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19Muhammad Aminu, Divya Yadav, Lingzhi Hong, et al.
Cancers|November 13, 2025
Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible PatientsMorteza Salehjahromi, Hui Li, Eman Showkatian, et al.
Cancer Letters|June 18, 2026
Deep Learning of CT Imaging Predicts PD-L1 Expression and Immunotherapy Response in Metastatic NSCLC: A Multi-Center StudyAmgad Muneer, Eman Showkatian, Maliazurina B Saad, et al.
Cell Reports. Medicine|March 12, 2024
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of conceptMorteza Salehjahromi, Tatiana V Karpinets, Sheeba J Sujit, et al.
Nature Communications|July 24, 2025
Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLCMaliazurina B Saad, Qasem Al-Tashi, Lingzhi Hong, et al.
The Lancet. Digital Health|June 2, 2023
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective studyMaliazurina B Saad, Lingzhi Hong, Muhammad Aminu, et al.
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