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

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Arianna Bunnell et. al (2024) 27th International Conference on Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco.

Full Article

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

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound 2024

I presented my work in an oral and poster on concept-bottleneck models using existing radiological ontologies in the main session of MICCAI 2024.

Oral Poster Breast Cancer AI

Customization of AI-Based Breast Cancer Risk Models for Validation in AANHPI Women 2024

My undergraduate mentee Cade Kane presented his work on the software customizations he made to adjust academic breast cancer risk models from mammography for use in the women in the HIPIMR at the SURE Symposium in Honolulu.

Oral Breast Cancer AI

Application of AI to Breast Cancer for Hawaiʻi & the USAPI 2024

I was honored to have been selected as a Honolulu ARCS Scholar for 2024!

Oral Breast Cancer AI