Match tier
Confirmed
Presence
Current · Arkansas
Last published
2024
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
J
Jason Causey
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
Also affiliated: National University of Defense Technology (2016); University of Arkansas Medical Center (2018)
12 h-index
37 pubs
559 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Jason Causey's research program investigates the application of advanced computational techniques, including deep learning and machine learning, to diverse scientific challenges. His work spans medical imaging analysis, such as segmenting kidney tumors from CT scans and classifying sex from 3D skull images, as well as agricultural applications like predicting rice yield variation using drone imagery. Causey has also contributed to studies on predicting COVID-19 diagnosis and hospitalization, and on genotype-by-environment interactions for maize yield estimation. His scholarship metrics include an h-index of 12, with 37 total publications and 512 citations. He frequently collaborates with researchers at Arkansas State University, including Jake Qualls, Jennifer Fowler, and Emily S. Bellis, with whom he has co-authored multiple publications.
Metrics
- h-index: 12
- Publications: 37
- Citations: 559
Positions
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Associate Professor 2023–presentArkansas State University Computer Science ORCID
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Assistant Professor 2018–2023Arkansas State University Computer Science ORCID
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Instructor 2003–2018Arkansas State University Computer Science ORCID
Selected Publications
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Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates (2024)
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Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction (2024)
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Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates (2024)
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Sex classification of 3D skull images using deep neural networks (2024)
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Single protein encapsulated SN38 for tumor-targeting treatment (2023)
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Single Protein Encapsulated SN38 for Tumor-Targeting Treatment (2023)
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Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray Images (2022)
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Study the combination of brain MRI imaging and other datatypes to improve Alzheimer’s disease diagnosis (2022)
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COVID19 Diagnosis Using Chest X-rays and Transfer Learning (2022)
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Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning (2022)
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Identify differentially expressed genes with large background samples (2021)
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A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization (2021)
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An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images (2021)
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Transfer learning with chest X-rays for ER patient classification (2020)
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Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection (2020)
Collaboration Network
Top Collaborators
Xiuzhen Huang
Cedars-Sinai Medical Center (US)
22 shared publications
- Highly accurate model for prediction of lung nodule malignancy with CT scans
- An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
Showing 5 of 22 shared publications
Jake Qualls
Arkansas State University
15 shared publications
In database
- Highly accurate model for prediction of lung nodule malignancy with CT scans
- An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
- Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
- Transfer learning with chest X-rays for ER patient classification
Showing 5 of 15 shared publications
Jonathan Stubblefield
Arkansas State University (US)
13 shared publications
- An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
- Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
- Transfer learning with chest X-rays for ER patient classification
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
Showing 5 of 13 shared publications
Karl Walker
University of Arkansas at Pine Bluff (US)
11 shared publications
- An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
- Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
- DNAp: A Pipeline for DNA-seq Data Analysis
- Transfer learning with chest X-rays for ER patient classification
Showing 5 of 11 shared publications
Emily S. Bellis
Arkansas State University
8 shared publications
In database
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
- Transfer learning with chest X-rays for ER patient classification
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
Showing 5 of 8 shared publications
Jennifer Fowler
Arkansas State University
7 shared publications
In database
- An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- Study the combination of brain MRI imaging and other datatypes to improve Alzheimer’s disease diagnosis
Showing 5 of 7 shared publications
Jason H. Moore
Cedars-Sinai Medical Center (US)
6 shared publications
- Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
- DNAp: A Pipeline for DNA-seq Data Analysis
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- Sex classification of 3D skull images using deep neural networks
Showing 5 of 6 shared publications
Shiqian Ma
University of California, Davis (US)
4 shared publications
- Highly accurate model for prediction of lung nodule malignancy with CT scans
- SparRec: An effective matrix completion framework of missing data imputation for GWAS
- Highly accurate model for prediction of lung nodule malignancy with CT scans
- Correction: Corrigendum: SparRec: An effective matrix completion framework of missing data imputation for GWAS
Shuzhong Zhang
University of Minnesota (US)
4 shared publications
- Highly accurate model for prediction of lung nodule malignancy with CT scans
- SparRec: An effective matrix completion framework of missing data imputation for GWAS
- Highly accurate model for prediction of lung nodule malignancy with CT scans
- Correction: Corrigendum: SparRec: An effective matrix completion framework of missing data imputation for GWAS
Yuanfang Guan
University of Michigan (US)
4 shared publications
- An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
- Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
- DNAp: A Pipeline for DNA-seq Data Analysis
- Identify differentially expressed genes with large background samples
Fred Prior
University of Arkansas Medical Center
3 shared publications
In database
- Highly accurate model for prediction of lung nodule malignancy with CT scans
- Highly accurate model for prediction of lung nodule malignancy with CT scans
- CNNcon: A Quantitative Imaging Tool for Lung CT Image Feature Analysis
Wei Zhou
Arkansas State University (US)
3 shared publications
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
- Minor QTLs mining through the combination of GWAS and machine learning feature selection
Wei Dong
Ann Arbor Center for Independent Living (US)
3 shared publications
- Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
Lingrui Cai
3 shared publications
- An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
Bo Jiang
University of Arkansas at Little Rock (US)
2 shared publications
- SparRec: An effective matrix completion framework of missing data imputation for GWAS
- Correction: Corrigendum: SparRec: An effective matrix completion framework of missing data imputation for GWAS
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