Faculty

Institution

Unit

Venue

Dr. Heidy Sierra

University of Puerto Rico--Mayaguez

Affiliations

Biomedical Engineering

College Of Computer Science And Technology

College of Engineering

Institute Of Research In Integrative Systems And Engineering

School Of Engineering

University of Puerto Rico--Mayaguez

NoneDr. Heidy Sierra is currently serving as a Biomedical Engineering faculty at University of Puerto Rico--Mayaguez.

Honors

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Experiences

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Education

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Dr. Heidy Sierra

University of Puerto Rico--Mayaguez

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digital image processing confocal microscopy dermatology biomedical imaging microscopy image analysis cancer imaging laser ablation biomedical engineering computational imaging hyperspectral imaging spectral imaging radiation oncology cancer research photomedicine oncology biological imaging medical imaging information fusion oncologic imaging cancer biology tissue imaging basal cell carcinomas epidemiology digital earth biomedical photonics optical imaging multimodal sensor fusion image representation clinical dermatology laser science microscopy methods multi-image fusion compressive sensing feature fusion soft computing medical image computing therapeutic imaging light microscopy biomedical optics sparse representations data fusion reflectance confocal microscopy basal cell carcinoma hyperspectral images contrast agent medical mycology histopathology nuclear medicine computational intelligence spectral theory luminescence electronic materials experimental dermatology gesture processing edge detection sign language novel imaging methods translational molecular imaging treatment effects satellite imaging material modeling material simulation image classification multi-focus image fusion ex vivo study visual guidance initial clinical experience prospective study confocal imaging ablation parameters novel approaches anex vivofeasibility study high spatial-spectral resolution carbon monoxide poisoning moore-penrose pseudoinverse

Notable Scholarly Works

Notable Federal Grants

Collaborators

Virtual Stain and Phase Estimation Using Encoder-Decoder Networks. Lecture notes in networks and systems (2025)

computational imagingsystems biologydigital image processingvirtual stainbioimage analysis

A Computational Framework to Analyze Time and Location-Dependent Nirs Readouts for Detecting Cytochrome C Oxidase. (2024)

Anastasia GoulopoulosMichael AlvarezHeidy SierraWalfre Franco

bioanalysisbiomedical engineeringcomputational frameworkbiomedical analysiscomputational biologyneurosciencelocation-dependent nirs readoutshealth sciences

LSTM Model for Sepsis Detection and Classification Using Ppg Signals. Lecture notes in networks and systems (2024)

sepsisbiosignal processinglstm model

Evolutive Screening of Candidates for New Materials Using Genetic Algorithms and Deep Learning. (2023)

materials scienceevolutive screeningmaterial selectiongenetic algorithmsevolutionary computationdeep learningadvanced materialsai foundationevolutionary intelligencecomputational materials scienceengineering

Multi-Source Imagery Fusion Using Deep Learning in a Cloud Computing Platform. arXiv (Cornell University) (2023)

machine learningmulti-source imagery fusionmultimodal sensor fusionmulti-image fusiondeep learningimage analysisdata sciencedata fusionimage representationfusion learningfeature fusioncomputer scienceinformation fusion

Optical, Flow, and Thermal Analysis of a Phototherapy Extracorporeal Membrane Oxygenator for Treating Carbon Monoxide Poisoning. Lasers in Surgery and Medicine (2023)

Anastasia GoulopoulosEdidiong EtimSandeep KorupoluWilliam FarinelliHeidy SierraR Rox AndersonAnna FischbachWalfre Franco

surgerybiomedical engineeringradiation oncologyphotomedicinelaser sciencelaserscarbon monoxide poisoning

Using Monte Carlo Simulated Ppgs Signals to Train a Deep Learning Model to Predict Hemoglobin Levels. Emerging Topics in Artificial Intelligence (ETAI) (2023)

predictive analyticsdata-driven predictionbiomedical informaticsmachine learningdeep learning modelppgs signalsmonte carlodeep learningbiostatisticsdata sciencecomputational biologyneural network (machine learning)

Hyperspectral and Multispectral Image Fusion Using a Multi-Level Propagation Learning Network. Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) (2021)

computational imagingsoft computingmultimodal sensor fusionmulti-image fusionmulti-focus image fusionmultispectral image fusionmedical image computingpattern recognitiondigital image processingimage analysisfeature fusiondata fusionmachine learninginformation fusion

Analyzing the Effects of Pixel-Scale Data Fusion in Hyperspectral Image Classification Performance. (2020)

digital earthpixel-scale data fusionhyperspectral imagingspectral imagingdigital image processingimage analysisearth sciencedata sciencefeature fusioninformation fusion

Residual Neural Network Architectures to Improve Prediction Accuracy of Properties of Materials. IEEE International Conference on Big Data (BigData) (2020)

materials sciencesoft computingmaterials engineeringmaterial modelingdeep learningneural computationcomputational materials sciencecomputational intelligencematerial simulationprediction accuracyneural network (machine learning)engineering

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Dr. Heidy Sierra

University of Puerto Rico--Mayaguez

Affiliations

Biomedical Engineering

College Of Computer Science And Technology

College of Engineering

Institute Of Research In Integrative Systems And Engineering

School Of Engineering

University of Puerto Rico--Mayaguez

NoneDr. Heidy Sierra is currently serving as a Biomedical Engineering faculty at University of Puerto Rico--Mayaguez.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dr. Heidy Sierra

University of Puerto Rico--Mayaguez

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Virtual Stain and Phase Estimation Using Encoder-Decoder Networks. Lecture notes in networks and systems (2025)

computational imagingsystems biologydigital image processingvirtual stainbioimage analysis

A Computational Framework to Analyze Time and Location-Dependent Nirs Readouts for Detecting Cytochrome C Oxidase. (2024)

Anastasia GoulopoulosMichael AlvarezHeidy SierraWalfre Franco

bioanalysisbiomedical engineeringcomputational frameworkbiomedical analysiscomputational biologyneurosciencelocation-dependent nirs readoutshealth sciences

LSTM Model for Sepsis Detection and Classification Using Ppg Signals. Lecture notes in networks and systems (2024)

sepsisbiosignal processinglstm model

Evolutive Screening of Candidates for New Materials Using Genetic Algorithms and Deep Learning. (2023)

Multi-Source Imagery Fusion Using Deep Learning in a Cloud Computing Platform. arXiv (Cornell University) (2023)

Optical, Flow, and Thermal Analysis of a Phototherapy Extracorporeal Membrane Oxygenator for Treating Carbon Monoxide Poisoning. Lasers in Surgery and Medicine (2023)

Anastasia GoulopoulosEdidiong EtimSandeep KorupoluWilliam FarinelliHeidy SierraR Rox AndersonAnna FischbachWalfre Franco

surgerybiomedical engineeringradiation oncologyphotomedicinelaser sciencelaserscarbon monoxide poisoning

Using Monte Carlo Simulated Ppgs Signals to Train a Deep Learning Model to Predict Hemoglobin Levels. Emerging Topics in Artificial Intelligence (ETAI) (2023)

Hyperspectral and Multispectral Image Fusion Using a Multi-Level Propagation Learning Network. Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) (2021)

Analyzing the Effects of Pixel-Scale Data Fusion in Hyperspectral Image Classification Performance. (2020)

digital earthpixel-scale data fusionhyperspectral imagingspectral imagingdigital image processingimage analysisearth sciencedata sciencefeature fusioninformation fusion

Residual Neural Network Architectures to Improve Prediction Accuracy of Properties of Materials. IEEE International Conference on Big Data (BigData) (2020)

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