Himar Fabelo

Orcid: 0000-0002-9794-490X

According to our database1, Himar Fabelo authored at least 71 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection.
CoRR, 2024

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.
CoRR, 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

Classification of Brain Tissues in Hyperspectral Images Using Vision Transformers.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Novel Approach for AI-Based Risk Calculator Development Using Transfer Learning Suitable for Embedded Systems.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

Acceleration of a CNN-based Heart Sound Segmenter: Implementation on Different Platforms Targeting a Wearable Device.
Proceedings of the 26th Euromicro Conference on Digital System Design, 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

Hyperspectral Image Dataset for Focus Analysis (HIDFA).
Dataset, February, 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

Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis.
Sensors, 2022

Performance Evaluation of Deep Learning Models for Image Classification Over Small Datasets: Diabetic Foot Case Study.
IEEE Access, 2022

Hyperspectral imaging for in-vivo/ex-vivo tissue analysis of human brain cancer.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 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

Attention-based Skin Cancer Classification Through Hyperspectral Imaging.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

Glioblastoma Classification in Hyperspectral Images by Nonlinear Unmixing.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

Message from the Program Chairs: DSD 2022.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

Reflectance Calibration with Normalization Correction in Hyperspectral Imaging.
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

Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2022

Exploring a Segmentation-Classification Deep Learning-based Heart Murmurs Detector.
Proceedings of the Computing in Cardiology, 2022

Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 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

Evaluating the use of Hyperspectral Imaging as Complementary Blood Sample Tests.
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

Hyperspectral Imaging for Major Neurocognitive Disorder Detection in Plasma Samples.
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

Hyperspectral Push-Broom Microscope Development and Characterization.
IEEE Access, 2019

Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications.
IEEE Access, 2019

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection.
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

Automatic Segmentation Based on Deep Learning Techniques for Diabetic Foot Monitoring Through Multimodal Images.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance.
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
Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging.
IEEE Trans. Medical Imaging, 2017

SVM-based real-time hyperspectral image classifier on a manycore architecture.
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

The HELICoiD Project: Parallel SVM for Brain Cancer Classification.
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

Demo: HELICoiD tool demonstrator for real-time brain cancer detection.
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


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