Ruben Usamentiaga

Professor

University of Oviedo

Spain

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Ruben Usamentiaga is a Professor at the University of Oviedo, Spain. His research focuses on areas such as deep learning for surface defect detection, infrared thermography applications in sports injury prevention, and the evaluation of composite materials using advanced imaging techniques. He has contributed to significant advancements in automated systems for material analysis and remote sensing applications.

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2022

Collaborators (9)

Daniel F. García

University of Oviedo

SPAIN

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Gunther Steenackers

University of Antwerp

BELGIUM

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Hai Zhang

Université Laval

CANADA

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Pengfei Zhu

Université Laval

CANADA

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Francisco Javier de la Calle Herrero

Profesor Ayudante Doctor

University of Oviedo

SPAIN

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Oscar D. Pedrayes

University of Oviedo

SPAIN

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Darío González Lema

University of Oviedo

SPAIN

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Clemente Ibarra-Castanedo

Professional researcher

Université Laval

CANADA

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Mohammed Shahait

UNITED ARAB EMIRATES

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Ruben Usamentiaga

Research Interests

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About

Articles (28)

Automatic system for deformation measurement of anodes in an electrolytic process

A comprehensive evaluation of the low-velocity impact behaviour of intraply hybrid flax/basalt composites using infrared thermography and terahertz time-domain spectroscopy techniques

Benchmarking deep learning models for surface defect detection: a reproducible and statistically-rigorous approach

Advancing knee injury prevention and anomaly detection in rugby players through automated processing of infrared thermography: A novel biothermodynamics approach

IBERBIRDS: A dataset of flying bird species present in the Iberian Peninsula

Enhanced temperature measurement using infrared thermography in dynamic environments through an automated robust detection-tracking approach

Multi-scale contrast-to-noise ratio (MS-CNR): a novel metric for quantitative defect characterisation without manual region specification

Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning

THz-Super-Resolution Generative Adversarial Network: Deep-Learning-Based Super-Resolution Imaging Using Terahertz Time-Domain Spectroscopy

Unipolar Square Wave Excitation Delayed Sampling Thermal Signal Reconstruction Detection Based on Beam Homogenization

Enhancing automated inspection in metal industries: zero-shot segmentation of surface defects using bounding box prompts

Contactless and nondestructive evaluation of residual stress distribution in modified and pure HDPE materials using a novel terahertz method and line-scan thermographic technique

Location Monitoring System to Prevent Falls of Cathodes in Industrial Electrolysis Facilities

Rail Flatness Measurement Based on Dual Laser Triangulation

Enhancing resistance to low-velocity impact of electrospun-manufactured interlayer-strengthened CFRP by using infrared thermography

Quantitative comparison and performance evaluation of deep learning-based object detection models on edge computing devices

Quantitative comparison and performance evaluation of deep learning-based object detection models on edge computing devices

Evaluation of multispectral data for recent manure application: A case study in northern Spain

MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy

Improved detection of subsurface defects through active thermography and ensembling techniques

Fully automated method to estimate opacity in stack and fugitive emissions: A case study in industrial environments

Satellite imagery dataset of manure application on pasture fields

Semiautonomous Pipeline Inspection Using Infrared Thermography and Unmanned Aerial Vehicles

A Method to Extract Rail Flatness Profile and Analysis of Different Noise Sources

Semantic segmentation for non-destructive testing with step-heating thermography for composite laminates

CPU and GPU real-time filtering methods for dense surface metrology using general matrix to matrix multiplications

Automated Surface Defect Detection in Metals: A Comparative Review of Object Detection and Semantic Segmentation Using Deep Learning

Automated Detection of Subsurface Defects Using Active Thermography and Deep Learning Object Detectors

Collaborators (9)

Daniel F. García

Gunther Steenackers

Hai Zhang

Pengfei Zhu

Francisco Javier de la Calle Herrero

Oscar D. Pedrayes

Darío González Lema

Clemente Ibarra-Castanedo

Mohammed Shahait

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