Embedded Files
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
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
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
Waveform Phasicity Prediction from Arterial Sounds through Spectrogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment
IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) in 2021
Rao, A., Battenfield, K., & Aalami, O.
Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning
Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning
MICCAI Workshop on Clinical Image-Based Procedures (CLIP) in 2021
Rao, A., Chaudhari, A., & Aalami, O.
Page updated
Google Sites
Report abuse