Elies Fuster-Garcia

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Associate Professor (Profesor Titular)

Universitat Politècnica de València

Spain

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About

Elies Fuster-Garcia is an Associate Professor at Universitat Politècnica de València, Spain. His research focuses on advanced imaging techniques and molecular profiling in glioma characterization and treatment, as reflected in his recent publications. Key areas of interest include MRI generation for diffuse glioma growth prediction, predictive biomarkers for enhanced survival in glioblastoma patients, and the application of deep learning models in survival classification.

Recent Grants

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Evaluación multiparamétrica de la progresión de los tumores cerebrales basada en la IA

Open Date: 2022-01-01

Close Date: 2025-01-01

Grant: Close

CHRONOS: Predicting glioma tumor progression and their relationship with proliferation, invasion and angiogenesis

Open Date: 2021-06-01

Close Date: 2024-06-01

Grant: Close

Multiparametric imaging of glioblastoma tumour heterogeneity for supporting treatment decisions and accurate prognostic estimation

Open Date: 2019-06-01

Close Date: 2021-05-31

Grant: Close

Multiparametric Nosological Images

Open Date: 2017-10-01

Close Date: 2018-05-01

Grant: Close

FORCE - Functional imaging Of vascular Restrictions in CancEr

Open Date: 2017-01-01

Close Date: 2019-12-31

Elies Fuster-Garcia

Research Interests

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Recent Grants

Articles (17)

Treatment-Aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction

Diffuse glioma molecular profiling with arterial spin labeling and dynamic susceptibility contrast perfusion MRI: A comparative study

Abnormal vascular structure and function within brain metastases is linked to pembrolizumab resistance

Exploring the Trade-Off between generalist and specialized Models: A center-based comparative analysis for glioblastoma segmentation

The prognostic relevance of a gene expression signature in MRI-defined highly vascularized glioblastoma

Advanced MR Techniques for Preoperative Glioma Characterization: Part 2

Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

MR elastography identifies regions of extracellular matrix reorganization associated with shorter survival in glioblastoma patients

Unlocking Bevacizumab’s Potential: rCBV<sub>max</sub> as a Predictive Biomarker for Enhanced Survival in Glioblastoma IDH-Wildtype Patients

Interpreting deep learning models for glioma survival classification using visualization and textual explanations

Decreased tissue stiffness in glioblastoma by MR elastography is associated with increased cerebral blood flow

Quantification of Tissue Compression Identifies High-Grade Glioma Patients with Reduced Survival

Local detection of microvessels in IDH-wildtype glioblastoma using relative cerebral blood volume: an imaging marker useful for astrocytoma grade 4 classification.

Lack of Benefit of Extending Temozolomide Treatment in Patients with High Vascular Glioblastoma with Methylated MGMT

Glioblastoma versus solitary brain metastasis: MRI differentiation using the edema perfusion gradient.

Differential effect of vascularity between long‐ and short‐term survivors with IDH1/2 wild‐type glioblastoma

MGMT methylation may benefit overall survival in patients with moderately vascularized glioblastomas

Collaborators (17)

Johan Koekkoek

Kyrre Eeg Emblem

Sverre Holm

Joan Carreres Polo

Einar O Vik-Mo

Juan M Garcia-Gomez

Ece Ercan

Jakub Otáhal

Lydiane Hirschler

Gilbert Hangel

Carmen Balaña

Nico Sollmann

Jan Petr

Ralph Sinkus

Matthew Grech-Sollars

Marta Calvo-Imirizaldu

Vera C. Keil

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