A Cross-Sectional Study of Prominent US Mobile Health Applications: Evaluating the Current Landscape. - Pierre-Antoine Fougerouse; Mobin Yasini; Guillaume Marchand; Oliver O. Aalami (AMIA, 2017)

Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition. - Varun N. Shenoy; Oliver O. Aalami (AMIA, 2017)

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 (BIBM, 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)

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)

Vascular1: Development and Evaluation of a Virtual Reality Ultrasound Guided Vascular Access Training Module. - Vishal Shenoy; Suleman I. Khan; Edmund Lee 003; Oliver O. Aalami (BIBM, 2021)

Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning. - Adrit Rao; Akshay Chaudhari; Oliver O. Aalami (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

The Value of Visual Attention for COVID-19 Classification in CT Scans. - Adrit Rao; Jongchan Park; Oliver O. Aalami (ICCVW, 2021)

Studying the Effects of Self-Attention for Medical Image Analysis. - Adrit Rao; Jongchan Park; Sanghyun Woo; Joon-Young Lee; Oliver O. Aalami (ICCVW, 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 (MWSCAS, 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)

Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning. - Adrit Rao; Oliver O. Aalami (AMAI@MICCAI, 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)

Studying the Impact of Augmentations on Medical Confidence Calibration. - Adrit Rao; Joon-Young Lee; Oliver O. Aalami (ICCV (Workshops), 2023)

The Path to a Modular and Standards-based Digital Health Ecosystem. - Paul Schmiedmayer; Vishnu Ravi; Oliver O. Aalami (CoRR, 2023)

IMIL: Interactive Medical Image Learning Framework. - Adrit Rao; Andrea Fisher; Ken Chang; John Christopher Panagides; Katherine McNamara; Joon-Young Lee; Oliver O. Aalami (CVPR Workshops, 2024)

LLM on FHIR - Demystifying Health Records. - Paul Schmiedmayer; Adrit Rao; Philipp Zagar; Vishnu Ravi; Aydin Zahedivash; Arash Fereydooni; Oliver O. Aalami (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)

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)

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning. - Leon Nissen; Philipp Zagar; Vishnu Ravi; Aydin Zahedivash; Lara Marie Reimer; Stephan M. Jonas; Oliver O. Aalami; Paul Schmiedmayer (CoRR, 2025)

Toward Scalable Access to Neurodevelopmental Screening: Insights, Implementation, and Challenges. - Andreas Bauer; William Bosl; Oliver O. Aalami; Paul Schmiedmayer (CoRR, 2025)