Faculty

Institution

Unit

Venue

Stough, Joshua

Bucknell University

Affiliations

Bucknell University

Services Of Psychological

NoneStough, Joshua is currently serving as a Bucknell University faculty at Bucknell University.

Honors

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Experiences

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Education

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Stough, Joshua

Bucknell University

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cardiology health sciences machine learning echocardiography neurology neuroscience neuroimaging medical imaging mortality deep learning medical image computing medical image analysis medicine electrophysiology biomedical imaging respiratory medicine life prediction multi-modal feature classification predictive analytics cardiovascular imaging death studies intensive care deep neural networks thalamus parcellation echocardiography segmentation deep neural network heart failure populations scientific computing image representation machine learning research quantitative science studies biomedical informatics mobile computing prediction modelling failure prediction brain imaging diagnostic imaging optical engineering convolutional neural networks quality control moving object tracking parameter identification target prediction prognosis domain adaptation magnetic resonance imaging synthetic image generation generative models generative adversarial networks theoretical prediction disease risk assessment model comparison health outcomes multimodal learning model management computational medicine sensor calibration multivariate calibration mobile sensing automatic method age-matched cohort thalamus segmentation pilot study atrial segmentation thalamic nuclei priors random forest learning thalamic parcellation multi-modal data deep learning-based 2d

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Large-Scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment. IEEE Journal of Biomedical and Health Informatics (2025)

Alvaro E. Ulloa CernaDavid P. vanMaanenLinyuan JingJoshua V. StoughAalpen A. PatelChristopher M. HaggertyBrandon K. FornwaltMarios S. Pattichis

theoretical predictionsurvival analysisglobal healthmachine learning researchseparable risk assessmentpublic healthrisk managementmortality riskhealth informaticsdisease risk assessmentdeath studiesmodel comparisonmultiscale modelingquantitative science studieslow parameter modelsbiomedical informaticshealth outcomesstatisticsintensive caremultimodal learninglarge-scale multimodal studymortality

Co-Unet-Gan: A Co-Learning Domain Adaptation Model on Echocardiography Segmentation. Medical Imaging 2022: Image Processing (2023)

Junyang CaiChristopher M. HaggertyJoshua V. Stough

echocardiography segmentationdomain adaptationdeep learningechocardiographycomputer science

Fully Automated Multi-Heartbeat Echocardiography Video Segmentation and Motion Tracking. Medical Imaging 2022: Image Processing (2022)

Yida ChenXiaoyan ZhangChristopher M. HaggertyJoshua V. Stough

medicinemedical imagingmedical image computingechocardiographybiometricsbiomedical imagingmedical image analysismoving object trackinghealth sciencesmotion tracking

Generalizability and Quality Control of Deep Learning-Based 2D Echocardiography Segmentation Models in a Large Clinical Dataset. The International Journal of Cardiovascular Imaging (2022)

deep learning-based 2dradiologyconvolutional neural networkscardiovascular imagingechocardiography segmentation modelsmedical imagingdeep learningmedical image computingechocardiographydata sciencequality controlmedical image analysismachine learning

Perceptually Improved T1-T2 Mri Translations Using Conditional Generative Adversarial Networks. Medical Imaging 2022: Image Processing (2022)

magnetic resonance imagingradiologyneuroimagingt1-t2 mri translationsmedical imagingdeep learningsynthetic image generationmedical image computingdigital image processingimage analysisgenerative modelsgenerative adversarial networksbiomedical imagingmedical image analysisneuroscienceimage representation

Smartphone-Based Turbidity Estimation With Inherent Calibration. (2022)

sensor calibrationsmartphone-based turbidity estimationmobile computingmultivariate calibrationmeasurementcalibrationsensorsenvironmental monitoringstatisticsubiquitous computingmobile sensing

Assessing the Generalizability of Temporally Coherent Echocardiography Video Segmentation. (2021)

cardiologyradiologycardiovascular imagingmedical imagingdiagnostic imagingmedical image computingdigital image processingimage analysisechocardiographybiomedical imagingmedical image analysis

Bayesian Optimization of 2D Echocardiography Segmentation. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021)

Tung TranJoshua V. StoughXiaoyan ZhangChristopher M. Haggerty

cardiologyechocardiography segmentationbayesian optimizationechocardiographyhealth sciences

Abstract 15393: Automatic Multi-Structural Cardiac Segmentation of 2D Echocardiography With Convolutional Neural Networks. Circulation (2020)

Xiaoyan ZhangJoshua V StoughSushravya M RaghunathAlvaro Ulloa CernaDavid vanMaanenBrandon FornwaltChristopher M Haggerty

cardiologyhealth sciencesechocardiography

A Machine Learning Approach to Management of Heart Failure Populations. JACC Heart Failure (2020)

Linyuan JingAlvaro E. Ulloa CernaChristopher W. GoodNathan M. SauersGargi SchneiderDustin N. HartzelJoseph B. LeaderH. Lester KirchnerYirui HuDavid M. RivielloJoshua V. StoughSeth GazesAllyson HaggertySushravya RaghunathBrendan J. CarryChristopher M. HaggertyBrandon K. Fornwalt

heart failure populationsheart failuremachine learninghealth policy

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Stough, Joshua

Bucknell University

Affiliations

Bucknell University

Services Of Psychological

NoneStough, Joshua is currently serving as a Bucknell University faculty at Bucknell University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Stough, Joshua

Bucknell University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Large-Scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment. IEEE Journal of Biomedical and Health Informatics (2025)

Alvaro E. Ulloa CernaDavid P. vanMaanenLinyuan JingJoshua V. StoughAalpen A. PatelChristopher M. HaggertyBrandon K. FornwaltMarios S. Pattichis

Co-Unet-Gan: A Co-Learning Domain Adaptation Model on Echocardiography Segmentation. Medical Imaging 2022: Image Processing (2023)

Junyang CaiChristopher M. HaggertyJoshua V. Stough

echocardiography segmentationdomain adaptationdeep learningechocardiographycomputer science

Fully Automated Multi-Heartbeat Echocardiography Video Segmentation and Motion Tracking. Medical Imaging 2022: Image Processing (2022)

Yida ChenXiaoyan ZhangChristopher M. HaggertyJoshua V. Stough

medicinemedical imagingmedical image computingechocardiographybiometricsbiomedical imagingmedical image analysismoving object trackinghealth sciencesmotion tracking

Generalizability and Quality Control of Deep Learning-Based 2D Echocardiography Segmentation Models in a Large Clinical Dataset. The International Journal of Cardiovascular Imaging (2022)

Perceptually Improved T1-T2 Mri Translations Using Conditional Generative Adversarial Networks. Medical Imaging 2022: Image Processing (2022)

Smartphone-Based Turbidity Estimation With Inherent Calibration. (2022)

sensor calibrationsmartphone-based turbidity estimationmobile computingmultivariate calibrationmeasurementcalibrationsensorsenvironmental monitoringstatisticsubiquitous computingmobile sensing

Assessing the Generalizability of Temporally Coherent Echocardiography Video Segmentation. (2021)

cardiologyradiologycardiovascular imagingmedical imagingdiagnostic imagingmedical image computingdigital image processingimage analysisechocardiographybiomedical imagingmedical image analysis

Bayesian Optimization of 2D Echocardiography Segmentation. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021)

Tung TranJoshua V. StoughXiaoyan ZhangChristopher M. Haggerty

cardiologyechocardiography segmentationbayesian optimizationechocardiographyhealth sciences

Abstract 15393: Automatic Multi-Structural Cardiac Segmentation of 2D Echocardiography With Convolutional Neural Networks. Circulation (2020)

Xiaoyan ZhangJoshua V StoughSushravya M RaghunathAlvaro Ulloa CernaDavid vanMaanenBrandon FornwaltChristopher M Haggerty

cardiologyhealth sciencesechocardiography

A Machine Learning Approach to Management of Heart Failure Populations. JACC Heart Failure (2020)

heart failure populationsheart failuremachine learninghealth policy

1
2
3
10 / page