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The British Journal of Radiology|September 21, 2019
RadiationGeneSigDB: a database of oxic and hypoxic radiation response gene signatures and their utility in pre-clinical researchVenkata Sk Manem, Andrew DhawanBMC Cancer|May 3, 2024
Advances in personalized radiotherapyVenkata Sk Manem, Farzad Taghizadeh-HesaryScientific Reports|January 11, 2025
A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohortYifan Jiang, Leyla Ebrahimpour, Philippe Després, et al.Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|September 24, 2025
Whole-Slide Imaging and Radiological Features Predict Clinical Outcomes in Patients With Neuroendocrine Tumors of the LungSevinj Yolchuyeva, Leyla Ebrahimpour, Yannick Lemaréchal, et al.Journal of Imaging Informatics in Medicine|January 12, 2026
Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0Mohammad R Salmanpour, Seyed Mohammad Piri, Somayeh Sadat Mehrnia, et al.Journal of Translational Medicine|January 10, 2024
Multi-institutional prognostic modeling of survival outcomes in NSCLC patients treated with first-line immunotherapy using radiomicsSevinj Yolchuyeva, Leyla Ebrahimpour, Marion Tonneau, et al.Cancer Research|September 28, 2019
Modeling Cellular Response in Large-Scale Radiogenomic Databases to Advance Precision RadiotherapyVenkata Sk Manem, Meghan Lambie, Ian Smith, et al.Journal of Translational Medicine|May 6, 2025
Computational analysis of whole slide images predicts PD-L1 expression and progression-free survival in immunotherapy-treated non-small cell lung cancer patientsAbdou Khadir Dia, Alona Kolnohuz, Sevinj Yolchuyeva, et al.Pageof 1