Arianna Bunnell

Computer Science PhD Student

I am studying for a Ph.D. in Computer Science in the Department of Information and Computer Sciences at the University of Hawaii at Manoa. My research interests are in deep learning for breast imaging, specifically in breast ultrasound. I'm also passionate about the study of healthcare AI ethics, particularly under feminist and intersectional frameworks.

Papers

Early Breast Cancer Diagnosis via Breast Ultrasound and Deep Learning

Arianna Bunnell (2023) Master’s Thesis, University of Hawaii at Manoa.

Full Article

The Effect of AI-Enhanced Breast Imaging on the Caring Radiologist-Patient Relationship

Arianna Bunnell and Sharon Rowe (2022) Pacific Symposium on Biocomputing, Kohala Coast Hawaii.

Full Article

Presentations

Fiducial Point Placement on Total-Body DXA Scans with Deep Learning 2024

I presented my work on the deep learning model I trained to place fiducial points on total-body DXA scans at the Biomedical Sciences & Health Disparities Symposium in Honolulu.

Oral DXA AI

Is AI-enhanced breast ultrasound ready for breast cancer screening in low-resource environments? A systematic review 2024

I presented my systematic review on the current state of the literature for AI-enhanced breast ultrasound in low-resource and rural contexts at the 2024 AACR Annual Meeting.

Poster Breast Cancer AI

Annotation Parsing in Clinical, Real-World Breast Ultrasound Imaging Data 2023

My undergraduate mentee Kailee Hung presented her work on the automatic pipeline she developed to parse sonographer annotations from clinical breast ultrasound data at the SURE Symposium in Honolulu.

Poster Breast Cancer AI