Oliver O. Aalami

Orcid: 0000-0002-7799-2429

According to our database1, Oliver O. Aalami authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications.
CoRR, 2024

Almanac Copilot: Towards Autonomous Electronic Health Record Navigation.
CoRR, 2024

LLM on FHIR - Demystifying Health Records.
CoRR, 2024

IMIL: Interactive Medical Image Learning Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
The Path to a Modular and Standards-based Digital Health Ecosystem.
CoRR, 2023

Studying the Impact of Augmentations on Medical Confidence Calibration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Comparative Utility Score for Digital Health Tools.
J. Medical Syst., 2022

Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning.
Proceedings of the Applications of Medical Artificial Intelligence, 2022

2021
Waveform Phasicity Prediction from Arterial Sounds through Spectogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment.
CoRR, 2021

Waveform Phasicity Prediction from Arterial Sounds through Spectrogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

Studying the Effects of Self-Attention for Medical Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

The Value of Visual Attention for COVID-19 Classification in CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

Vascular1: Development and Evaluation of a Virtual Reality Ultrasound Guided Vascular Access Training Module.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Author Correction: Clinical validation of smartphone-based activity tracking in peripheral artery disease patients.
npj Digit. Medicine, 2020

2018
Clinical validation of smartphone-based activity tracking in peripheral artery disease patients.
npj Digit. Medicine, 2018

Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition.
Proceedings of the AMIA 2017, 2017

A Cross-Sectional Study of Prominent US Mobile Health Applications: Evaluating the Current Landscape.
Proceedings of the AMIA 2017, 2017


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