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Samuel Ortega
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2020 – today
- 2024
- [j27]Juan N. Mendoza-Chavarría
, Inés A. Cruz-Guerrero
Blind non-linear spectral unmixing with spatial coherence for hyper and multispectral images. J. Frankl. Inst. 361(18): 107282 (2024) - [j26]Daniel Enériz
Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - [c39]Laura Quintana, Carlos Vega, Raquel León, Guillermo V. Socorro-Marrero, Samuel Ortega, Gustavo M. Callicó:
Assessing Processing Strategies on Data from Medical Hyperspectral Acquisition Systems. DSD 2024: 464-471 - [i3]Himar Fabelo, Samuel Ortega, D. Ravi, B. R. Kiran, C. Sosa, Diederik Bulters, Gustavo M. Callicó, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Silvester Kabwama, Daniel Madroñal, Raquel Lazcano, Aruma J. O'Shanahan, Sara Bisshopp, M. Hernandez, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, R. Salvador, E. Juarez, R. Sarmiento:
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations. CoRR abs/2402.07192 (2024) - [i2]Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Piñeiro, Silvester Kabwama, Aruma J. O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. R. Kiran, D. Ravi, Raquel Lazcano, Daniel Madroñal, C. Sosa, Carlos Espino Palma, M. Marquez, Maria De La Luz Plaza, R. Camacho, D. Carrera, M. Hernandez, Gustavo M. Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez, César Sanz, R. Sarmiento:
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. CoRR abs/2402.10776 (2024) - [i1]Raquel Lazcano, Daniel Madroñal, Giordana Florimbi, Jaime Sancho, Sergio Sánchez Ramírez, Raquel León, Himar Fabelo, Samuel Ortega, Emanuele Torti, Rubén Salvador, Margarita Marrero-Martin, Francesco Leporati, Eduardo Juárez, Gustavo M. Callicó, César Sanz:
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. CoRR abs/2404.10631 (2024) - 2023
- [j25]Inés A. Cruz-Guerrero
Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction. J. Frankl. Inst. 360(15): 11165-11196 (2023) - [j24]Carlos Urbina Ortega
Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples. Sensors 23(4): 1863 (2023) - [j23]Antonio J. Rodríguez-Almeida
Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. IEEE J. Biomed. Health Informatics 27(6): 2670-2680 (2023) - [c38]Raquel León, Himar Fabelo
Evaluation of Hyperspectral Imaging Fusion for in-vivo Brain Tumor Identification and Delineation. DSD 2023: 493-499 - [c37]Beatriz Martínez-Vega, Raquel León, Himar Fabelo
Analysis of the Behavior of Ozone Therapy in Chemotherapy-Induced Neuropathy Using Hyperspectral Imaging Technology. DSD 2023: 500-506 - [c36]Inés A. Cruz-Guerrero, Juan N. Mendoza-Chavarría, Daniel U. Campos-Delgado, Himar Fabelo
Classification of Brain Tissues in Hyperspectral Images Using Vision Transformers. ISBI 2023: 1-4 - [c35]Carlos Vega, Laura Quintana, Samuel Ortega, Himar Fabelo, Esther Sauras, Noèlia Gallardo, Daniel Mata Cano, Marylène Lejeune, Carlos López, Gustavo M. Callicó:
YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images. Digital and Computational Pathology 2023 - 2022
- [j22]Alejandro Morales
Laboratory Hyperspectral Image Acquisition System Setup and Validation. Sensors 22(6): 2159 (2022) - [j21]Marco La Salvia
Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application. Sensors 22(16): 6145 (2022) - [j20]Marco La Salvia
Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images. Sensors 22(19): 7139 (2022) - [j19]Beatriz Martínez-Vega
Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis. Sensors 22(22): 8917 (2022) - [j18]Daniel U. Campos-Delgado
Nonlinear extended blind end-member and abundance extraction for hyperspectral images. Signal Process. 201: 108718 (2022) - [c34]Daniel Enériz, Antonio J. Rodríguez-Almeida, Himar Fabelo
Exploring a Segmentation-Classification Deep Learning-based Heart Murmurs Detector. CinC 2022: 1-4 - [c33]María Castro-Fernández
Towards Skin Cancer Self-Monitoring through an Optimized MobileNet with Coordinate Attention. DSD 2022: 607-614 - [c32]Juan N. Mendoza-Chavarría, Eric R. Zavala-Sánchez, Liliana Granados-Castro
Glioblastoma Classification in Hyperspectral Images by Nonlinear Unmixing. DSD 2022: 843-848 - [c31]Inés A. Cruz-Guerrero
Reflectance Calibration with Normalization Correction in Hyperspectral Imaging. DSD 2022: 855-862 - [c30]Carlos Vega
Development of a Hyperspectral Colposcope for Early Detection and Assessment of Cervical Dysplasia. DSD 2022: 863-870 - [c29]Marco La Salvia, Emanuele Torti, Marco Gazzoni, Elisa Marenzi
Attention-based Skin Cancer Classification Through Hyperspectral Imaging. DSD 2022: 871-876 - [c28]Himar Fabelo
Message from the Program Chairs: DSD 2022. DSD 2022: xxiii-xxiv - [c27]Laura Quintana, Samuel Ortega, Raquel León, Himar Fabelo, Francisco Javier Balea-Fernández, Esther Sauras, Marylène Lejeune, Ramón Bosch, Carlos López, Gustavo M. Callicó:
In the use of artificial intelligence and hyperspectral imaging in digital pathology for breast cancer cell identification. Digital and Computational Pathology 2022 - [c26]Raquel León
Hyperspectral imaging for in-vivo/ex-vivo tissue analysis of human brain cancer. Image-Guided Procedures 2022 - [d2]Himar Fabelo
Dataset: Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. IEEE DataPort, 2022 - [d1]Laura Quintana
Hyperspectral Image Dataset for Focus Analysis (HIDFA). IEEE DataPort, 2022 - 2021
- [j17]Jose. M. Cabrera-Peña, Eduardo Quevedo
Influence of the change of methodology in the practical laboratories of the power electronics subject. Comput. Appl. Eng. Educ. 29(5): 1358-1371 (2021) - [c25]Himar Fabelo
Evaluating the use of Hyperspectral Imaging as Complementary Blood Sample Tests. DCIS 2021: 1-6 - [c24]Raquel León
Hyperspectral VNIR and NIR Sensors for the Analysis of Human Normal Brain and Tumor Tissue. DCIS 2021: 1-6 - [c23]Laura Quintana
Instrumentation Evaluation for Hyperspectral Microscopy Targeting Enhanced Medical Histology. DCIS 2021: 1-6 - [c22]Beatriz Martínez-Vega
Oxygen Saturation Measurement using Hyperspectral Imaging targeting Real-Time Monitoring. DSD 2021: 480-487 - [c21]Nauman Baig, Himar Fabelo
Empirical Mode Decomposition Based Hyperspectral Data Analysis for Brain Tumor Classification. EMBC 2021: 2274-2277 - [c20]Francesca Manni, Chuchen Cai, Fons van der Sommen
Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach. Image-Guided Procedures 2021 - [c19]Laura Quintana
Blur-Specific No-Reference Image Quality Assesment for Microscopic Hyperspectral Image Focus Quantification. WHISPERS 2021: 1-5 - 2020
- [j16]Giordana Florimbi
Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms. IEEE Access 8: 8485-8501 (2020) - [j15]Samuel Ortega
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. Sensors 20(7): 1911 (2020) - [j14]Francesca Manni
Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach. Sensors 20(23): 6955 (2020) - [c18]Himar Fabelo
Novel Methodology for Alzheimer's Disease Biomarker Identification in Plasma using Hyperspectral Microscopy. DCIS 2020: 1-6 - [c17]Raquel León
Hyperspectral Imaging for Major Neurocognitive Disorder Detection in Plasma Samples. DCIS 2020: 1-6 - [c16]Alicia Martínez-González, Ana Del Valle, Himar Fabelo
Can Hyperspectral Images be used to detect Brain tumor pixels and their malignant phenotypes? DCIS 2020: 1-5 - [c15]Beatriz Martínez-Vega
Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing. DCIS 2020: 1-6 - [c14]Martin T. Halicek, Samuel Ortega, Himar Fabelo
Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology. Digital Pathology 2020: 113200U - [c13]Samuel Ortega, Martin T. Halicek, Himar Fabelo
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. Digital Pathology 2020: 113200V
2010 – 2019
- 2019
- [j13]Himar Fabelo
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. IEEE Access 7: 39098-39116 (2019) - [j12]Samuel Ortega
Hyperspectral Push-Broom Microscope Development and Characterization. IEEE Access 7: 122473-122491 (2019) - [j11]Raquel Lazcano, Daniel Madroñal, Giordana Florimbi, Jaime Sancho, Sergio Sánchez Ramírez, Raquel León, Himar Fabelo
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. IEEE Access 7: 152316-152333 (2019) - [j10]Daniel U. Campos-Delgado
Extended Blind End-Member and Abundance Extraction for Biomedical Imaging Applications. IEEE Access 7: 178539-178552 (2019) - [j9]Himar Fabelo
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. Sensors 19(4): 920 (2019) - [j8]Beatriz Martínez
Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging. Sensors 19(24): 5481 (2019) - [j7]Raquel Lazcano
Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing. J. Signal Process. Syst. 91(7): 759-771 (2019) - [c12]Himar Fabelo
Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance. DCIS 2019: 1-6 - [c11]Martin T. Halicek, Himar Fabelo
Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth. Image-Guided Procedures 2019: 109511A - [c10]Himar Fabelo
Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients. Image-Guided Procedures 2019: 1095110 - 2018
- [j6]Emanuele Torti
Acceleration of brain cancer detection algorithms during surgery procedures using GPUs. Microprocess. Microsystems 61: 171-178 (2018) - [j5]Himar Fabelo
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation. Sensors 18(2): 430 (2018) - [j4]Giordana Florimbi
Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. Sensors 18(7): 2314 (2018) - [j3]Himar Fabelo
SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples. Sensors 18(12): 4487 (2018) - 2017
- [j2]Raquel Lazcano, Daniel Madroñal
Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture. J. Syst. Archit. 77: 101-111 (2017) - [j1]Daniel Madroñal
SVM-based real-time hyperspectral image classifier on a manycore architecture. J. Syst. Archit. 80: 30-40 (2017) - [c9]Rubén Salvador
HELICoiD: interdisciplinary and collaborative project for real-time brain cancer detection: Invited Paper. Conf. Computing Frontiers 2017: 313-318 - [c8]Raquel Lazcano, Daniel Madroñal
Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform. DASIP 2017: 1-6 - [c7]Daniel Madroñal
Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier. DASIP 2017: 1-6 - [c6]Emanuele Torti
The HELICoiD Project: Parallel SVM for Brain Cancer Classification. DSD 2017: 445-450 - [c5]R. Domingo, Rubén Salvador
High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier. ReCoSoC 2017: 1-8 - 2016
- [c4]Himar Fabelo
A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using in-Vivo Samples. BIOSIGNALS 2016: 311-320 - [c3]Daniel Madroñal
Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform. DASIP 2016: 154-160 - [c2]Rubén Salvador
Demo: HELICoiD tool demonstrator for real-time brain cancer detection. DASIP 2016: 237-238 - [c1]Samuel Ortega
Hyperspectral database of pathological in-vitro human brain samples to detect carcinogenic tissues. ISBI 2016: 369-372
Coauthor Index
Gustavo M. Callicó
aka: Gustavo Marrero Callicó
aka: Gustavo Marrero Callicó
[j27] [j26] [c39] [i3] [i2] [i1] [j25] [j24] [j23] [c38] [c37] [c36] [c35] [j22] [j21] [j20] [j19] [j18] [c34] [c33] [c32] [c31] [c30] [c29] [c27] [c26] [d2] [d1] [j17] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j16] [j15] [j14] [c18] [c17] [c16] [c15] [c14] [c13] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c12] [c11] [c10] [j6] [j5] [j4] [j3] [j2] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Daniel U. Campos-Delgado
aka: Daniel Ulises Campos-Delgado
aka: Daniel Ulises Campos-Delgado
[j27] [j26] [i3] [i2] [i1] [j25] [j24] [j23] [c38] [c37] [c36] [c35] [j21] [j20] [j19] [j18] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [d2] [d1] [j17] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j16] [j15] [j14] [c18] [c17] [c16] [c15] [c14] [c13] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c12] [c11] [c10] [j6] [j5] [j4] [j3] [j2] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Beatriz Martínez 0002
aka: Beatriz Martínez-Vega
aka: Beatriz Martínez-Vega
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last updated on 2024-12-08 01:31 CET by the dblp team
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