Morteza Salehjahromi

The University of Texas MD Anderson Cancer Center — United States

Medicine · Health Sciences

8h-index340citations32works7.82yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(18), Medical Imaging Techniques and Applications(13), Advanced X-ray and CT Imaging(13), Lung Cancer Diagnosis and Treatment(12), Lung Cancer Treatments and Mutations(6)

Publications32 total

Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients
Cancers·2025Open Access
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 trial
Journal for ImmunoTherapy of Cancer·2025· 1 citedOpen Access
EP.04.31 Nomogram for Predicting Lung Cancer-Free Survival in Patients With Persistent Pulmonary Nodules
Journal of Thoracic Oncology·2025
P2.02.36 Canakinumab Interception Trial and Preclinical Studies Reveal Stage-Dependent Biology in Lung Cancer and Precancers
Journal of Thoracic Oncology·2025· 1 cited
Lung Cancer Risk Prediction in Patients with Persistent Pulmonary Nodules Using the Brock Model and Sybil Model
Cancers·2025· 4 citedOpen Access
1238 Predicting lung cancer risk with CT radiomics: implications for immunoprevention
Regular and Young Investigator Award Abstracts·2024Open Access
1244 Deep learning prediction of immune checkpoint inhibitor induced pneumonitis from baseline CT scans in lung cancer
Regular and Young Investigator Award Abstracts·2024Open Access
1227 Predicting PD-L1 expression from CT scans using deep learning to guide immunotherapy in metastatic non-small-cell lung cancer
Regular and Young Investigator Award Abstracts·2024Open Access
P1.01A.03 Can-Prevent-Lung Trial-Canakinumab for the Prevention of Lung Cancer: Updated Interim Clinical and Biomarker Analysis
Journal of Thoracic Oncology·2024· 1 citedOpen Access
OA13.05 I-SABR-SELECT: A Radiomics-Based Model for Personalized Immunotherapy for Early-Stage Non-Small Cell Lung Cancer
Journal of Thoracic Oncology·2024Open Access
I-SABR-SELECT: A Radiomics-Based Model for Personalized Immunotherapy for Early-Stage Non-Small Cell Lung Cancer
International Journal of Radiation Oncology*Biology*Physics·2024· 1 cited
Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights
Nature Communications·2024· 67 citedOpen Access
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept
Cell Reports Medicine·2024· 27 citedOpen Access
MA03.10 The Interim Analysis of Can-Prevent-Lung Trial: Canakinumab for The Prevention of Lung Cancer
Journal of Thoracic Oncology·2023· 5 citedOpen Access
Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis
Cancers·2023· 4 citedOpen Access
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study
The Lancet Digital Health·2023· 99 citedOpen Access
Abstract 5443: Pathomics reveals the molecular and immune evolution from lung preneoplasia to invasive adenocarcinoma
Cancer Research·2023
Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19
Cancers·2022· 9 citedOpen Access
Identification of Nodular Lymphocyte-Predominant Hodgkin Lymphoma Variant Morphology Using Artificial Intelligence
Blood·2022
Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma
Lecture notes in computer science·2022· 4 cited
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Frequent Co-authors

John V. Heymach(18), Muhammad Aminu(14), Sheeba J. Sujit(13), Maliazurina B. Saad(12), Lingzhi Hong(12), Natalie I. Vokes(12), J. Jack Lee(12), Jia Wu(12), Carol C. Wu(10), Mara B. Antonoff(10), David A. Jaffray(10), Don L. Gibbons(10), Hengyong Yu(10), Pingjun Chen(9), Caroline Chung(9), Ara A. Vaporciyan(9), Jianjun Zhang(9), Edwin J. Ostrin(8), Xiuning Le(7), Tina Cascone(7)