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Ronald Boellaard

Has grant

Head imaging methodology

VU medisch centrum

Netherlands

Research Interests

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Professors in Netherlands Professors in Medical Imaging Medical Imaging professors in Netherlands

About

Ronald Boellaard is the Head of Imaging Methodology at VU Medisch Centrum in the Netherlands. His research focuses on the application of advanced imaging techniques in oncology and neurology, with recent articles exploring prognostic information from PET imaging in various cancers, the correlation of education and amyloid burden in cognitive decline, and the standardization of radiomic features for clinical use. His work aims to improve outcome prediction and treatment assessment using innovative radiological methods.

Recent Grants

Grant: Open

Radiomics: extracting tumor characteristics from PET/CT images for better understanding of heterogeneity and prediction of outcome in Follicular lymphoma patients.

Open Date: 2024-01-01

Close Date: 2028-01-01

Grant: Close

Artificial intelligence and machine learning for FDG PET/CT response prediction in diffuse large B cell lymphoma

Open Date: 2021-07-01

Close Date: 2025-06-01

Grant: Close

Radiomics: extracting new tumor characteristics from baseline PET-CT images for better prediction of outcome in DLBCL patients

Open Date: 2019-01-01

Close Date:

Grant: Close

Imaging Biomarkers (IBs) for Safer Drugs: Validation of Translational Imaging Methods in Drug Safety Assessment (IB4SD-TRISTAN)

Open Date: 2017-03-10

Close Date: 2021-12-31

Grant: Close

“Multimodality and multi-parametric PET/MRI analysis for enhancing diagnosis, prognosis and response prediction in advanced stage head and neck cancer

Open Date: 2015-06-01

Close Date: 2019-06-01

Articles (13)

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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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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (15)

Daniele Altomare

University of Brescia

ITALY

Ronald Boellaard

Research Interests

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About

Recent Grants

Articles (13)

Can we obtain prognostic information from healthy tissue uptake and volume in baseline 18F-FDG PET/CT imaging in diffuse large B-cell lymphoma?

Automated segmentation of the sacro-iliac joints, posterior spinal joints and discovertebral units on low-dose computed tomography for Na[18F]F PET lesion detection in spondyloarthritis patients

An exploratory assessment of early and delta PET radiomic features for outcome prediction in locally advanced cervical cancer

The Image Biomarker Standardization Initiative

Baseline and on Treatment Biodistribution Variability of 18F-FLT Uptake in Patients With Advanced Melanoma: Brief Communication

Association Between Years of Education and Amyloid Burden in Patients With Subjective Cognitive Decline, MCI, and Alzheimer Disease

Meta-Analysis of the Test–Retest Repeatability of [18F]-Fluorodeoxyglucose Standardized Uptake Values: Implications for Assessment of Tumor Response

Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor

Prognostic Model using 18F-FDG PET Radiomics Predicts Progression-Free Survival in Relapsed/Refractory Hodgkin Lymphoma

18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma

Blood‐circulating EV‐miRNAs, serum TARC, and quantitative FDG‐PET features in classical Hodgkin lymphoma

Alzheimer's disease pattern derived from relative cerebral flow as an alternative for the metabolic pattern using SSM/PCA

Targeting PSMA Revolutionizes the Role of Nuclear Medicine in Diagnosis and Treatment of Prostate Cancer

Collaborators (15)

Daniele Altomare

Elisabeth de Vries

Heiko Schoder

Josée M. Zijlstra

Daphne de Jong

Janine Doorduin

Pieternella J. Lugtenburg

Floris van Velden

Otto S Hoekstra

Emiliano Spezi

Henrica de Vet

John Haanen

Vincent Andrearczyk

Gary Cook

Gerben JC Zwezerijnen

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