Christian Mata

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Assistant Professor

Universitat Politècnica de Catalunya

Spain

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About

Christian Mata is an Assistant Professor at Universitat Politècnica de Catalunya, Spain. His research focuses on digital image processing, particularly in the fields of medical imaging and characterization of brain structures through advanced techniques. Recently, he has published work on topics such as brain vascular tortuosity, automatic segmentation in MRI and ultrasound images, and the evaluation of fire tests in experimental settings.

Recent Grants

Grant: Close

Desarrollo de una nueva metodología basada en IA y CFD para una gestión y planificación dinámica de las emergencias

Open Date: 2021-09-01

Close Date: 2024-08-01

Grant: Close

Análisis computacional del impacto de riesgos genéticos y clínicos en la señalización molecular y disfunciones electrofisiológicas en fibrilación auricular

Open Date: 2021-09-01

Close Date: 2024-08-01

Grant: Close

SPIOMET4HEALTH_PCOS in adolescent girls and young women: Toward a treatment guided by pathopsysiology

Open Date: 2021-04-01

Close Date: 2026-03-01

Grant: Close

Análisis de datos multiescala en cardiologia traslacional

Open Date: 2021-01-01

Close Date: 2021-12-01

Grant: Close

Comprehensive Transversal Programme in Medical Image Post Processing: 3D Printing and Artificial Intelligence

Open Date: 2019-09-01

Close Date: 2021-12-01

Articles (14)

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2025

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2022

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2022

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2021

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2021

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2021

Collaborators (3)

Elsa Pastor

Associate Professor

Universitat Politècnica de Catalunya

SPAIN

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Raúl Benítez

Associate Professor

Universitat Politècnica de Catalunya

SPAIN

View details

VALERIO COZZANI

Professor

University of Bologna

ITALY

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Christian Mata

Research Interests

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About

Recent Grants

Articles (14)

Digital image processing for the advanced characterization and simulation of experimental fire tests

Novel classification of brain vascular tortuosity measures: A systematic review

Automatic Segmentation of Sylvian Fissure in Brain Ultrasound Images of Pre-Term Infants Using Deep Learning Models

Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images

A Semi-Automatic GUI Platform for the Morphometric Characterization of Brain Ultrasound Images in Preterm Children

Experimental analysis of real-scale burning tests of artificial fuel packs at the Wildland-Urban Interface

MedicalSeg: A Medical GUI Application for Image Segmentation Management

Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures

Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation

Usefulness of Collaborative Work in the Evaluation of Prostate Cancer from MRI

An Experimental Study on Geometrical Features of Horizontal Sonic and Subsonic Jet Fires

Thermal effects of a sonic jet fire impingement on a pipe

Assessing the applicability of deep learning methods for segmenting geometrical features in large-scale jet flames from infrared images

Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones

Collaborators (3)

Elsa Pastor

Raúl Benítez

VALERIO COZZANI

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