Jennifer Fowler Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Epidemiologist

Arkansas State University

faculty

3 h-index 11 pubs 60 cited

Research Areas

Advanced Neural Network Applications Medical Imaging Techniques and Applications Dementia and Cognitive Impairment Research SARS-CoV-2 and COVID-19 Research COVID-19 Clinical Research Studies Health Sciences Research and Education AI in cancer detection Bioinformatics and Genomic Networks

Links

ORCID Lab Website Research Group

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OverviewAI-generated summary

Jennifer Fowler's research focuses on the application of data science and artificial intelligence techniques to address complex problems in health and education. She has explored the use of ensemble U-Net models for kidney tumor segmentation in CT images and investigated the combination of brain MRI imaging with other data types to improve Alzheimer's disease diagnosis. Her work also extends to COVID-19 research, including studies on diagnosis using chest X-rays and assessing patient severity in emergency room admissions.

Fowler is involved in educational initiatives aimed at fostering data science skills and research engagement, particularly among underrepresented students in STEM. She has contributed to the development of online training programs and workshops focused on artificial intelligence, emphasizing collaboration and interdisciplinary thinking. Her scholarship metrics include an h-index of 3, with 11 total publications and 60 citations. She has received funding from the NSF EPSCoR program for a workshop on AI and no-boundary thinking to promote research collaborations.

Her collaborations include work with Jason Causey and Jake Qualls at Arkansas State University, with whom she shares multiple publications. She also collaborates with Emily S. Bellis at Arkansas State University and Dakota S. Dale at the University of Arkansas at Fayetteville.

Metrics

  • h-index: 3
  • Publications: 11
  • Citations: 60

Selected Publications

  • Envisioning and Realizing a Statewide Data Science Ecosystem (2024) DOI
  • Arkansas Summer Research Institute: The Evolution of an Engaging Online Training Program in Data Analytics and Research Targeting Underrepresented Students in STEM (2024) DOI
  • Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray Images (2022) DOI
  • Study the combination of brain MRI imaging and other datatypes to improve Alzheimer’s disease diagnosis (2022) DOI
  • COVID19 Diagnosis Using Chest X-rays and Transfer Learning (2022) DOI
  • Identify differentially expressed genes with large background samples (2021) DOI
  • An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images (2021) DOI

Federal Grants 1 $49,999 total

NSF Co-PI

NSF EPSCoR Workshop: Artificial Intelligence (AI) with No-Boundary Thinking (NBT) to Foster Collaborations in Research, Education and Training

EPSCoR Outreach and Workshops $49,999

Collaborators

Researchers in the database who share publications

Jason Causey Arkansas State University 5 shared publications Jake Qualls Arkansas State University 5 shared publications Emily S. Bellis Arkansas State University 1 shared publication Dakota S. Dale University of Arkansas at Fayetteville 1 shared publication Alan Kronberger Arkansas State University 1 shared publication Anna De Feria Arkansas State University 1 shared publication Abhijit Shivkumar Arkansas State University 1 shared publication Stephen R. Addison University of Central Arkansas 1 shared publication

Similar Researchers

Based on overlapping research topics

Jake Qualls Arkansas State University
Advanced Neural Network Applications Medical Imaging Techniques and Applications SARS-CoV-2 and COVID-19 Research
Good match 5 shared topics
Justin Zhan University of Arkansas
Advanced Neural Network Applications Medical Imaging Techniques and Applications AI in cancer detection
Good match 4 shared topics
Nidhi Gupta University of Arkansas at Fayetteville
Advanced Neural Network Applications Medical Imaging Techniques and Applications SARS-CoV-2 and COVID-19 Research
Good match 4 shared topics
Mahadevappa P. Badanavalu Arkansas State University
Advanced Neural Network Applications Medical Imaging Techniques and Applications Health Sciences Research and Education
Good match 3 shared topics
Rajanand Rajagopalan University of Arkansas at Fayetteville
Advanced Neural Network Applications Medical Imaging Techniques and Applications AI in cancer detection
Good match 3 shared topics
Shaozheng Jin University of Arkansas at Fayetteville
Advanced Neural Network Applications Medical Imaging Techniques and Applications AI in cancer detection
Good match 3 shared topics