Oliver O. Aalami

According to our database, Oliver O. Aalami authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications.

Philipp Zagar, Vishnu Ravi, Lauren Aalami, Stephan Krusche, Oliver O. Aalami, Paul Schmiedmayer

CoRR, 2024

Almanac Copilot: Towards Autonomous Electronic Health Record Navigation.

Cyril Zakka, Joseph Cho, Gracia Fahed, Rohan Shad, Michael Moor, Robyn Fong, Dhamanpreet Kaur, Vishnu Ravi, Oliver O. Aalami, Roxana Daneshjou, Akshay Chaudhari, William Hiesinger

CoRR, 2024

LLM on FHIR - Demystifying Health Records.

Paul Schmiedmayer, Adrit Rao, Philipp Zagar, Vishnu Ravi, Aydin Zahedivash, Arash Fereydooni, Oliver O. Aalami

CoRR, 2024

2023

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

Paul Schmiedmayer, Vishnu Ravi, Oliver O. Aalami

CoRR, 2023

Studying the Impact of Augmentations on Medical Confidence Calibration.

Adrit Rao, Joon-Young Lee, Oliver O. Aalami

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Comparative Utility Score for Digital Health Tools.

Joshua C. Burton, Samantha Regala, Deonte Williams, Aditi Desai, Han He, Oliver O. Aalami, Edward R. Mariano, Randall S. Stafford, Seshadri C. Mudumbai

J. Medical Syst., 2022

Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning.

Adrit Rao, Oliver O. Aalami

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.

Adrit Rao, Kevin Battenfield, Oliver O. Aalami

CoRR, 2021

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

Adrit Rao, Kevin Battenfield, Oliver O. Aalami

Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

Studying the Effects of Self-Attention for Medical Image Analysis.

Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

The Value of Visual Attention for COVID-19 Classification in CT Scans.

Adrit Rao, Jongchan Park, Oliver O. Aalami

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.

Adrit Rao, Akshay Chaudhari, Oliver O. Aalami

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.

Vishal Shenoy, Suleman I. Khan, Edmund Lee, Oliver O. Aalami

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.

Raheel Ata, Neil Gandhi, Hannah Rasmussen, Osama El-Gabalawy, Santiago Gutierrez, Alizeh Ahmad, Siddharth Suresh, Roshini Ravi, Kara Rothenberg, Oliver O. Aalami

npj Digit. Medicine, 2020

2018

Clinical validation of smartphone-based activity tracking in peripheral artery disease patients.

Raheel Ata, Neil Gandhi, Hannah Rasmussen, Osama El-Gabalawy, Santiago Gutierrez, Alizeh Ahmad, Siddharth Suresh, Roshini Ravi, Kara Rothenberg, Oliver O. Aalami

npj Digit. Medicine, 2018

Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks.

Varun N. Shenoy, Elizabeth Foster, Lauren Aalami, Bakar Majeed, Oliver O. Aalami

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.

Varun N. Shenoy, Oliver O. Aalami

Proceedings of the AMIA 2017, 2017

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

Pierre-Antoine Fougerouse, Mobin Yasini, Guillaume Marchand, Oliver O. Aalami

Proceedings of the AMIA 2017, 2017