Olivier Gevaert

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Assistant Professor

Stanford University

United States

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Recent Grants

Grant: Close

Identification of Cooperative Genetic Alterations in the Pathogenesis of Oral Cancer

Open Date: 2015-07-01

Close Date: 2019-04-30

Grant: Close

Radiogenomics Framework for Non-Invasive Personalized Medicine

Open Date: 2015-02-15

Close Date: 2019-01-31

Articles (15)

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2024

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2022

Collaborators (11)

Christoph Sadée

Stanford University

UNITED STATES

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Michael Zeineh

UNITED STATES

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Emma Welsh

Dana-Farber Cancer Institute

UNITED STATES

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Gerald Grant

Duke University

UNITED STATES

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Luis Javier Herrera

SPAIN

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Tina Hernandez-Boussard

Associate Dean of Research | Professor of Medicine | C-Suite & NIH Advisor | Board Director | Corporate Governance & Digital Health Strategy

Stanford University

UNITED STATES

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Or Gozani

Stanford University

UNITED STATES

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Ignacio Rojas

Universidad de Granada

SPAIN

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Albert Chiou

Clinical Assistant Professor

Stanford University School of Medicine

UNITED STATES

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Roberto Novoa

Stanford University

UNITED STATES

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Daniel Castillo-Secilla

SPAIN

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Olivier Gevaert

Research Interests

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Recent Grants

Articles (15)

AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction

Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types

Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models

A 3D lung lesion variational autoencoder

GeNNius: an ultrafast drug–target interaction inference method based on graph neural networks

Targeting KDM2A Enhances T-cell Infiltration in NSD1-Deficient Head and Neck Squamous Cell Carcinoma

Multimodal data fusion for cancer biomarker discovery with deep learning

Spatial cellular architecture predicts prognosis in glioblastoma

Best Practices for Clinical Skin Image Acquisition in Translational Artificial Intelligence Research

EpiMix is an integrative tool for epigenomic subtyping using DNA methylation

Multimodal deep learning to predict prognosis in adult and pediatric brain tumors

Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis

Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction

Disparities in dermatology AI performance on a diverse, curated clinical image set

Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis

Collaborators (11)

Christoph Sadée

Michael Zeineh

Emma Welsh

Gerald Grant

Luis Javier Herrera

Tina Hernandez-Boussard

Or Gozani

Ignacio Rojas

Albert Chiou

Roberto Novoa

Daniel Castillo-Secilla

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