Our research has led to the development and design of AutoABI. Along the way, we have documented key-points in our research development through conference presentations and journal publications. Our work has been accepted by conferences from the Society for Vascular Surgery (SVS), Western Vascular Society (WVS), Medical Image Computing and Computer Assisted Interventions (MICCAI) Society, Institute of Electrical and Electronics Engineers (IEEE), and more.

Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning

MICCAI Workshop on Applications of Artificial Intelligence (AMAI) in 2022

Rao, A & Aalami, O.

AutoABI: Feasibility of a Smartphone-Enabled ABI and Waveform Phasicity Prediction Model Using Machine Learning for Rapid Point-of-Care Limb Perfusion Assessment

Society for Vascular Surgery (SVS) Vascular Annual Meeting (VAM) in 2021

Rao, A., Battenfield, K. G., Fereydooni, A., & Aalami, O.

Waveform Phasicity Prediction from Arterial Sounds through Spectrogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment

Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning