Natalia Arteaga-Marrero

ORCID: 0000-0002-1645-0810
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About
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Research Areas
  • Infrared Thermography in Medicine
  • Electron and X-Ray Spectroscopy Techniques
  • Radiation Therapy and Dosimetry
  • Diabetic Foot Ulcer Assessment and Management
  • Nuclear Physics and Applications
  • X-ray Spectroscopy and Fluorescence Analysis
  • Effects of Radiation Exposure
  • Medical Imaging Techniques and Applications
  • Lung Cancer Diagnosis and Treatment
  • Ion-surface interactions and analysis
  • Radiomics and Machine Learning in Medical Imaging
  • MRI in cancer diagnosis
  • Ultrasound and Hyperthermia Applications
  • Advanced Radiotherapy Techniques
  • Advanced MRI Techniques and Applications
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Radiation Effects in Electronics
  • Ultrasound in Clinical Applications
  • Wireless Body Area Networks
  • Microwave Imaging and Scattering Analysis
  • Particle Detector Development and Performance
  • Integrated Circuits and Semiconductor Failure Analysis
  • Radiation Effects and Dosimetry
  • Photoacoustic and Ultrasonic Imaging
  • Prostate Cancer Diagnosis and Treatment

Instituto de Astrofísica de Canarias
2019-2024

University of Bergen
2015-2018

Umeå University
2018

Lund University
2006-2011

Institute of Nuclear Physics
2006-2010

Université Paris Cité
2002

Laboratoire de Physique Nucléaire et de Hautes Énergies
2002

Sorbonne Université
2002

Centre National de la Recherche Scientifique
2002

Collège de France
1995-1996

Data scarcity is a common and challenging issue when working with Artificial Intelligence solutions, especially those including Deep Learning (DL) models for tasks such as image classification. This particularly relevant in healthcare scenarios, which data collection requires long-lasting process, involving specific control protocols. The performance of DL usually quantified by different classification metrics, may provide biased results, due to the lack sufficient data. In this paper, an...

10.1109/access.2022.3225107 article EN cc-by IEEE Access 2022-01-01

Thermography enables non-invasive, accessible, and easily repeated foot temperature measurements for diabetic patients, promoting early detection regular monitoring protocols, that limit the incidence of disabling conditions associated with disorders. The establishment this application into standard care protocols requires to overcome technical issues, particularly sole segmentation. In work we implemented evaluated several segmentation approaches which include conventional Deep Learning...

10.3390/s21030934 article EN cc-by Sensors 2021-01-30

Diabetes mellitus presents a high prevalence around the world. A common and long-term derived complication is diabetic foot ulcers (DFUs), which have global of roughly 6.3%, lifetime incidence up to 34%. Infrared thermograms, covering entire plantar aspect both feet, can be employed monitor risk developing ulcer, because patients exhibit an abnormal pattern that may indicate disorder. In this study, publicly available INAOE dataset composed thermogram images healthy subjects was extract...

10.3390/s23020757 article EN cc-by Sensors 2023-01-09

Diabetic foot ulcers represent the most frequently recognized and highest risk factor among patients affected by diabetes mellitus. The associated recurrent rate is high, amputation of or lower limb often required due to infection. Analysis infrared thermograms covering entire plantar aspect both feet considered an emerging area research focused on identifying at early stage underlying conditions that sustain skin tissue damage prior onset superficial wounds. identification disorders using...

10.3390/biomedicines11123209 article EN cc-by Biomedicines 2023-12-02

10.1016/j.nimb.2009.03.030 article EN Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms 2009-03-13

The aim of this work is to provide a methodology model the dielectric properties human tissues based on phantoms prepared with an aqueous solution, in semi-solid form, by using off-the-shelf components. Polyvinyl alcohol cryogel (PVA-C) has been employed as novel gelling agent fabrication for microwave applications wide frequency range, from 500 MHz 20 GHz. Agar-based and deionized water have also manufactured comparison purposes. Mathematical models dependent sucrose concentration are...

10.1371/journal.pone.0219997 article EN cc-by PLoS ONE 2019-07-25

Abstract A precise and thorough methodology is presented for the design fabrication of bimodal phantoms to be used in medical microwave ultrasound applications. Dielectric acoustic properties human soft tissues were simultaneously mimicked. The fabricated using polyvinyl alcohol cryogel (PVA-C) as gelling agent at a 10% concentration. Sucrose was employed control dielectric spectrum, whereas cellulose scatterer ultrasound. For microwaves, mathematical model extracted calculate complex...

10.1038/s41598-020-77368-5 article EN cc-by Scientific Reports 2020-11-23

This work presents a revision of four different registration methods for thermal infrared and visible images captured by camera-based prototype the remote monitoring diabetic foot. uses low cost off-the-shelf available sensors in spectra. Four (Geometric Optical Translation, Homography, Iterative Closest Point, Affine transform with Gradient Descent) have been implemented analyzed obtained from both sensors. All algorithms’ performances were evaluated using Simultaneous Truth Performance...

10.3390/s21072264 article EN cc-by Sensors 2021-03-24

10.1016/j.nimb.2009.03.036 article EN Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms 2009-03-13

10.1016/j.nimb.2010.02.119 article EN Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms 2010-03-02

10.1016/j.nimb.2007.01.255 article EN Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms 2007-02-12

Infrared thermography is a non-invasive and accessible tool that maps the surface temperature of body. This technology particularly useful for diabetic foot disorders, since it facilitates identification higher risk patients by frequent monitoring therefore limits incidence disabling conditions. The aim this work to provide methodology explore entire plantar aspects both feet, based on infrared thermography, assessment anomalies. A was established identify areas track their progress via...

10.3390/app11167396 article EN cc-by Applied Sciences 2021-08-11

10.1016/j.nimb.2006.03.134 article EN Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms 2006-05-17

The aim of this study was to compare intratumoural heterogeneity and longitudinal changes assessed by dynamic contrast‐enhanced ultrasound (DCE‐US) magnetic resonance imaging (DCE‐MRI) in prostate tumour xenografts. In vivo DCE‐US DCE‐MRI were obtained 24 h pre‐ (day 0) post‐ 2) radiation treatment with a single dose 7.5 Gy. Characterization the vasculature determined Brix pharmacokinetic analysis time–intensity curves. Histogram voxels showed significant ( p < 0.001) from day 0 2 both...

10.1002/cmmi.1645 article EN Contrast Media & Molecular Imaging 2015-05-26

10.1016/j.nimb.2007.06.012 article EN Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms 2007-06-23

Background Longitudinal monitoring of potential radiotherapy treatment effects can be determined by dynamic contrast-enhanced ultrasound (DCE-US). Purpose To assess functional parameters means DCE-US in a murine subcutaneous model human prostate cancer, and their relationship to dose deposition time-frame after treatment. A special focus has been placed evaluate the vascular heterogeneity tumor on most suitable data analysis approach that reflects this heterogeneity. Material Methods In vivo...

10.1177/0284185118798167 article EN Acta Radiologica 2018-09-19
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