Samuel Ortega
Orcid: 0000-0002-7519-954X
According to our database1,
Samuel Ortega
authored at least 70 papers
between 2016 and 2024.
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Bibliography
2024
Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening.
IEEE Trans. Instrum. Meas., 2024
Blind non-linear spectral unmixing with spatial coherence for hyper and multispectral images.
J. Frankl. Inst., 2024
CoRR, 2024
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.
CoRR, 2024
Assessing Processing Strategies on Data from Medical Hyperspectral Acquisition Systems.
Proceedings of the 27th Euromicro Conference on Digital System Design, 2024
2023
Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction.
J. Frankl. Inst., October, 2023
Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets.
IEEE J. Biomed. Health Informatics, June, 2023
Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples.
Sensors, February, 2023
YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Analysis of the Behavior of Ozone Therapy in Chemotherapy-Induced Neuropathy Using Hyperspectral Imaging Technology.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023
Evaluation of Hyperspectral Imaging Fusion for in-vivo Brain Tumor Identification and Delineation.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023
2022
Dataset: Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications.
Dataset, May, 2022
Nonlinear extended blind end-member and abundance extraction for hyperspectral images.
Signal Process., 2022
Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application.
Sensors, 2022
Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images.
Sensors, 2022
Sensors, 2022
Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis.
Sensors, 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
In the use of artificial intelligence and hyperspectral imaging in digital pathology for breast cancer cell identification.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Development of a Hyperspectral Colposcope for Early Detection and Assessment of Cervical Dysplasia.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022
Towards Skin Cancer Self-Monitoring through an Optimized MobileNet with Coordinate Attention.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022
Proceedings of the Computing in Cardiology, 2022
2021
Influence of the change of methodology in the practical laboratories of the power electronics subject.
Comput. Appl. Eng. Educ., 2021
Blur-Specific No-Reference Image Quality Assesment for Microscopic Hyperspectral Image Focus Quantification.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Empirical Mode Decomposition Based Hyperspectral Data Analysis for Brain Tumor Classification.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Oxygen Saturation Measurement using Hyperspectral Imaging targeting Real-Time Monitoring.
Proceedings of the 24th Euromicro Conference on Digital System Design, 2021
Instrumentation Evaluation for Hyperspectral Microscopy Targeting Enhanced Medical Histology.
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021
Hyperspectral VNIR and NIR Sensors for the Analysis of Human Normal Brain and Tumor Tissue.
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021
2020
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks.
Sensors, 2020
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach.
Sensors, 2020
Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms.
IEEE Access, 2020
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing.
Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020
Can Hyperspectral Images be used to detect Brain tumor pixels and their malignant phenotypes?
Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020
Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020
Novel Methodology for Alzheimer's Disease Biomarker Identification in Plasma using Hyperspectral Microscopy.
Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020
2019
Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing.
J. Signal Process. Syst., 2019
Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging.
Sensors, 2019
Deep Learning-Based Framework for <i>In Vivo</i> Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain.
Sensors, 2019
IEEE Access, 2019
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications.
IEEE Access, 2019
IEEE Access, 2019
Extended Blind End-Member and Abundance Extraction for Biomedical Imaging Applications.
IEEE Access, 2019
Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Proceedings of the XXXIV Conference on Design of Circuits and Integrated Systems, 2019
2018
Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images.
Sensors, 2018
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.
Sensors, 2018
SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples.
Sensors, 2018
Acceleration of brain cancer detection algorithms during surgery procedures using GPUs.
Microprocess. Microsystems, 2018
2017
J. Syst. Archit., 2017
Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture.
J. Syst. Archit., 2017
High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier.
Proceedings of the 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip, 2017
Proceedings of the Euromicro Conference on Digital System Design, 2017
Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier.
Proceedings of the 2017 Conference on Design and Architectures for Signal and Image Processing, 2017
Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform.
Proceedings of the 2017 Conference on Design and Architectures for Signal and Image Processing, 2017
HELICoiD: interdisciplinary and collaborative project for real-time brain cancer detection: Invited Paper.
Proceedings of the Computing Frontiers Conference, 2017
2016
Hyperspectral database of pathological in-vitro human brain samples to detect carcinogenic tissues.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016
Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform.
Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016
A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using in-Vivo Samples.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016