Jennifer Fowler
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Epidemiologist
Also affiliated: Arkansas Economic Development Commission (2024)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Jennifer Fowler's research focuses on the application of machine learning techniques, particularly deep learning and transfer learning, to medical imaging for disease diagnosis and classification. Her work includes developing ensemble U-Net models for kidney tumor segmentation using CT images and utilizing transfer learning with chest X-rays to classify patients in emergency departments, including for COVID-19 diagnosis and severity assessment. She also investigates the combination of brain MRI imaging with other data types to improve Alzheimer's disease diagnosis.
Fowler is involved in broader initiatives related to data science and research education. She is a co-PI on an NSF EPSCoR grant for a workshop focused on Artificial Intelligence (AI) with No-Boundary Thinking (NBT) to foster collaborations. Her recent publications also address the evolution of online training programs in data analytics and research for underrepresented students in STEM, and the development of statewide data science ecosystems.
Her scholarship metrics include an h-index of 4 with 11 total publications and 69 citations. Key collaborators include Jason Causey and Jake Qualls from Arkansas State University, with whom she shares multiple publications.
Metrics
- h-index: 4
- Publications: 9
- Citations: 69
Positions
-
Epidemiologist 2022–presentCenters for Disease Control and Prevention Department of the Deputy Director of Infectious Diseases (DDID) - National Center for Emerging Zoonotic and Infectious Diseases (NCEZID) - Division of Global Migration and Quarantine (DGMQ) - Quarantine and Border Health Services Branch (QBHSB) ORCID
-
Epidemiologist publications 2020–2024Arkansas State University ORCID
Selected Publications
-
Envisioning and Realizing a Statewide Data Science Ecosystem (2024)
-
Arkansas Summer Research Institute: The Evolution of an Engaging Online Training Program in Data Analytics and Research Targeting Underrepresented Students in STEM (2024)
-
Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray Images (2022)
-
Study the combination of brain MRI imaging and other datatypes to improve Alzheimer’s disease diagnosis (2022)
-
COVID19 Diagnosis Using Chest X-rays and Transfer Learning (2022)
-
Identify differentially expressed genes with large background samples (2021)
-
An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images (2021)
-
Transfer learning with chest X-rays for ER patient classification (2020)
-
Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification (2020)
Federal Grants 1 $49,999 total
Collaboration Network
Top Collaborators
- 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
- 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
- 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
- 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
- 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 6 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
- 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
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
- Identify differentially expressed genes with large background samples
- Identify differentially expressed genes with large background samples
- Identify differentially expressed genes with large background samples
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
Similar Researchers
Based on overlapping research topics