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Leyla Ebrahimpour

Has grant

Senior Research Scientist

Memorial Sloan Kettering Cancer Center

United States

Research Interests

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Recent Grants

Grant: Close

VMAT failure determination through programming of a Neural Network

Open Date: 2021-01-01

Close Date: 2021-12-01

Grant: Close

Statistical analysis of galaxy clusters data

Open Date: 2018-10-01

Close Date: 2018-12-01

Grant: Close

Characterizing dark energy with EUCLID data on galaxy clusters

Open Date: 2013-11-01

Close Date: 2017-10-01

Grant: Close

Investigation of Longitudinal Structure of Extensive Air Showers of Cosmic Rays in Different Secondary Particles

Open Date: 2009-09-01

Close Date: 2011-09-01

Articles (14)

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

Year:

2023

Collaborators (4)

John Stott

University of Lancaster

UNITED KINGDOM

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Reese Wilkinson

University of Sussex

UNITED KINGDOM

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Philippe Joubert

Pathologist/Researcher

Institut universitaire de cardiologie et de pneumologie de Québec

CANADA

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Philippe Després

Professeur titulaire

Institut universitaire de cardiologie et de pneumologie de Québec

CANADA

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Leyla Ebrahimpour

Research Interests

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Recent Grants

Articles (14)

Immune infiltration features relative to cancer cell clumps as predictors of survival in triple-negative breast cancer.

PSG copy number amplification and association with poor survival in early-stage female lung adenocarcinoma patients.

Copy number amplification of PSG is associated with poor survival in female lung adenocarcinoma patients

Whole-Slide Imaging and Radiological Features Predict Clinical Outcomes in Patients With Neuroendocrine Tumors of the Lung

Radiomics‐based kidney lesion classification: Mitigating batch effect with nested combat harmonization

PARADIM: A Platform to Support Research at the Interface of Data Science and Medical Imaging

A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort

The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study

Sensitivity of CT-derived radiomic features to extraction libraries and gray-level discretization in the context of immune biomarker discovery

Differential Radiomics‐Based Signature Predicts Lung Cancer Risk Accounting for Imaging Parameters in NLST Cohort

Multi-institutional prognostic modeling of survival outcomes in NSCLC patients treated with first-line immunotherapy using radiomics

Gene expression signature predicts radiation sensitivity in cell lines using the integral of dose–response curve

The XMM cluster survey: exploring scaling relations and completeness of the dark energy survey year 3 redMaPPer cluster catalogue

A Radiomics-Clinical Model Predicts Overall Survival of Non-Small Cell Lung Cancer Patients Treated with Immunotherapy: A Multicenter Study

Collaborators (4)

John Stott

Reese Wilkinson

Philippe Joubert

Philippe Després

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