Inés Alejandro Cruz-Guerrero received the B.S. degree in Biomedical Engineering and the Master's degree in Electronics Engineering with emphasis in Bioelectronics from Universidad Autónoma de San Luis Potosí (UASLP) in 2017 and 2019, respectively. He is currently working towards the PhD degree of Engineering Sciences from Universidad Autónoma de San Luis Potosí. His doctoral work is focused on the study of advanced methods of blind decomposition in medical imaging. He has published one peer-reviewed paper in scientific journal, and two in national congresses. His research interests include image processing, optimization algorithms, machine learning and artificial intelligence algorithms, biomedical signal processing, and pattern recognition. M.I.E. Cruz Guerrero is member of the Mexican Society of Biomedical Engineering. In 2017, he was the first place in the "InnovaHealth Challenge" contest, and in 2020, he was the second place of the student contest "Ing. Teófila Cadena Alfaro" at graduate level, both by the Mexican Society of Biomedical Engineering.
Work
Anschutz Medical Campus, University of Colorado
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Postdoctoral Fellow
US
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Education
Universidad Autónoma de San Luis Potosí
Mexico
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PhD in Engineering Sciences
Universidad Autónoma de San Luis Potosí
Mexico
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Master's Degree in Electronic Engineering
Universidad Autónoma de San Luis Potosí
Mexico
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Bachelor's Degree (Biomedical Engineering)
Publications
Early Outcomes of Endoscopic Spring-Assisted Repair of Metopic Craniosynostosis
Journal of Craniofacial Surgery
journal-article
Blind non-linear spectral unmixing with spatial coherence for hyper and multispectral images
Journal of the Franklin Institute
journal-article
Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks
Healthcare Technology Letters
journal-article
Hyperspectral Imaging Benchmark based on Machine Learning for Intraoperative Brain Tumour Detection
preprint
Hyperspectral Imaging Benchmark based on Machine Learning for Intraoperative Brain Tumour Detection
preprint
Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection
npj Precision Oncology
journal-article
Glioblastoma Classification in Hyperspectral Images by Reflectance Calibration with Normalization Correction and Nonlinear Unmixing
book-chapter
Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction
Journal of the Franklin Institute
journal-article
Glioblastoma Classification in Hyperspectral Images by Nonlinear Unmixing
conference-paper
Reflectance Calibration with Normalization Correction in Hyperspectral Imaging
conference-paper
Nonlinear extended blind end-member and abundance extraction for hyperspectral images
Signal Processing
journal-article
Estimation of deoxygenated and oxygenated hemoglobin by multispectral blind linear unmixing
conference-paper
Extended Blind End-member and Abundance Estimation with Spatial Total Variation for Hyperspectral Imaging
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
supervised-student-publication
Extended Blind End-member and Abundance Estimation with Spatial Total Variation for Hyperspectral Imaging
Annual International Conference of the IEEE Engineering in Medicine and Biology
conference-paper
Algoritmo de Descomposición Ciega Basado en el Modelo de Mezcla Multi-Lineal
Memorias del Congreso Nacional de Ingenieŕıa Biomédica
conference-paper
Enfoqué H́ıbrido para la Clasificación de Muestras Histológicas para la Detección de Tumores Cerebrales: Descomposición lineal y Redes Neuronales
Memorias del Congreso Nacional de Ingenieŕıa Biomédica
conference-paper
Classification of Hyperspectral In Vivo Brain Tissue Based on Linear Unmixing
Applied Sciences
journal-article
Classification of Hyperspectral In Vivo Brain Tissue Based on Linear Unmixing
Applied Sciences
journal-article
Classification of Hyperspectral In Vivo Brain Tissue Based on Linear Unmixing
Applied Sciences
journal-article
3D Kidney Reconstruction from 2D Ultrasound Images
book-chapter
3D Kidney Reconstruction from 2D Ultrasound Images
IFMBE Proceedings
journal-article
Estimación Ciega de Perfiles y Abundancias con Variación Total para Imágenes Hiperespectrales de Uso Cĺınico
Memorias del Congreso Nacional de Ingenieŕıa Biomédica