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Arianna Bunnell

Arianna Bunnell

PhD Student

I’m a PhD student in the Computer Science (ICS) department at the University of Hawai’i. I have Bachelors degrees in Statistics and Computer Science, and am passionate about the application of data science to healthcare. I currently work as a Research Assistant in the UH Machine Learning Lab, working in applied ML. My work with the Shepherd Research Lab focuses on applying deep learning to breast ultrasound imaging.

Publications (6)

  • Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging
    Bunnell A, Cataldi D, Glaser Y, Wolfgruber T, Heymsfield SB, Zonderman AB, Kelly TL, Sadowski P, Shepherd J
    Lecture notes in computer science, 2025· doi:10.1007/978-3-032-06774-6_20
  • Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy
    Bunnell A, Valdez D, Strand F, Glaser Y, Sadowski P, Shepherd J
    PLOS Digital Health, 2025· doi:10.1371/journal.pdig.0001019
  • Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis
    Bunnell A, Valdez D, Wolfgruber T, Quon BK, Hung K, Hernandez BY, Seto TB, Killeen J, Miyoshi M, Sadowski P, Shepherd J
    The Lancet Regional Health - Americas, 2025· doi:10.1016/j.lana.2025.101096
  • BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI
    Bunnell A, Hung K, Shepherd JA, Sadowski P
    PLOS ONE, 2024· doi:10.1371/journal.pone.0315434
  • Performance of Progressive Generations of GPT on an Exam Designed for Certifying Physicians as Certified Clinical Densitometrists
    Valdez D, Bunnell A, Lim SY, Sadowski P, Shepherd J
    Journal of Clinical Densitometry, 2024· doi:10.1016/j.jocd.2024.101480
  • Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
    Bunnell A, Glaser Y, Valdez D, Wolfgruber T, Altamirano A, González CZ, Hernandez BY, Sadowski P, Shepherd J
    Lecture notes in computer science, 2024· doi:10.1007/978-3-031-72384-1_61

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