A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort.
- Published in:
- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-024-84193-7
- By:
- Publication type:
- Article
Works by Ebrahimpour, Leyla
Results: 7
1
2
Multi-institutional prognostic modeling of survival outcomes in NSCLC patients treated with first-line immunotherapy using radiomics.
- Published in:
- Journal of Translational Medicine, 2024, v. 22, n. 1, p. 1, doi. 10.1186/s12967-024-04854-z
- By:
- Publication type:
- Article
3
Differential Radiomics‐Based Signature Predicts Lung Cancer Risk Accounting for Imaging Parameters in NLST Cohort.
- Published in:
- Cancer Medicine, 2024, v. 13, n. 20, p. 1, doi. 10.1002/cam4.70359
- By:
- Publication type:
- Article
4
The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study.
- Published in:
- Cancers, 2024, v. 16, n. 2, p. 348, doi. 10.3390/cancers16020348
- By:
- Publication type:
- Article
5
A Radiomics-Clinical Model Predicts Overall Survival of Non-Small Cell Lung Cancer Patients Treated with Immunotherapy: A Multicenter Study.
- Published in:
- Cancers, 2023, v. 15, n. 15, p. 3829, doi. 10.3390/cancers15153829
- By:
- Publication type:
- Article
6
Sensitivity of CT-derived radiomic features to extraction libraries and gray-level discretization in the context of immune biomarker discovery.
- Published in:
- British Journal of Radiology, 2024, v. 97, n. 1164, p. 1982, doi. 10.1093/bjr/tqae187
- By:
- Publication type:
- Article
7
Gene expression signature predicts radiation sensitivity in cell lines using the integral of dose–response curve.
- Published in:
- BMC Cancer, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12885-023-11634-3
- By:
- Publication type:
- Article