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ORCIDOliver O. Aalami
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2020 – today
- 2026
[i14]Adrit Rao, Malte E. K. Jensen, Andrea Fisher, Louis Blankemeier, Pauline Berens, Arash Fereydooni, Seth Lirette, Eren Alkan, Felipe C. Kitamura, Juan Manuel Zambrano Chaves, Eduardo Pontes Reis, Arjun D. Desai, Marc H. Willis, Jason Hom, Andrew Johnston, Leon Lenchik, Robert D. Boutin, Eduardo Moreno Júdice de Mattos Farina, Augusto Sarquis Serpa, Marcelo Straus Takahashi, Jordan Perchik, Steven Rothenberg, Jamie Lee Schroeder, Ross W. Filice, Leonardo Kayat Bittencourt, Hari Trivedi, Marly van Assen, John Mongan, Kimberly Kallianos, Oliver O. Aalami, Akshay S. Chaudhari:
Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis. CoRR abs/2602.10364 (2026)- [i13]Fan Wu
, Tsai-Ning Wang, Nicolas Zumarraga, Ning Wang, Markus Kreft, Kevin O'Sullivan, Elgar Fleisch, Oliver O. Aalami, Paul Schmiedmayer, Robert Jakob, Patrick Langer:
Patient-Level Multimodal Question Answering from Multi-Site Auscultation Recordings. CoRR abs/2603.13362 (2026) - 2025
- [c12]Paul Heidekrüger, Bernd Brügge, Oliver O. Aalami, Paul Schmiedmayer:
Spatial Continuity: Investigating Use Cases of Spatial Computing for Users with Low Vision. ASSETS 2025: 1-4 - [i12]Leon Nissen, Philipp Zagar, Vishnu Ravi, Aydin Zahedivash, Lara Marie Reimer, Stephan M. Jonas, Oliver O. Aalami, Paul Schmiedmayer:
Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning. CoRR abs/2502.08954 (2025) - [i11]Andreas Bauer, William Bosl, Oliver O. Aalami, Paul Schmiedmayer:
Toward Scalable Access to Neurodevelopmental Screening: Insights, Implementation, and Challenges. CoRR abs/2503.13472 (2025) - [i10]Vasiliki Bikia, Paul Schmiedmayer, Aydin Zahedivash, Lauren Aalami, Adrit Rao, Vishnu Ravi, Matthew Turk, Scott R. Ceresnak, Oliver O. Aalami:
Spezi Data Pipeline: Streamlining FHIR-based Interoperable Digital Health Data Workflows. CoRR abs/2509.14296 (2025) - [i9]Patrick Langer, Thomas Kaar, Max Rosenblattl, Maxwell A. Xu, Winnie Chow, Martin Maritsch, Aradhana Verma, Brian Han, Daniel Seung Kim, Henry Chubb, Scott R. Ceresnak, Aydin Zahedivash, Alexander T. Sandhu, Fátima Rodriguez, Daniel McDuff, Elgar Fleisch, Oliver O. Aalami, Filipe Barata, Paul Schmiedmayer:
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data. CoRR abs/2510.02410 (2025) - 2024
- [c11]Adrit Rao, Andrea Fisher, Ken Chang, John Christopher Panagides, Katherine McNamara, Joon-Young Lee, Oliver O. Aalami:
IMIL: Interactive Medical Image Learning Framework. CVPR Workshops 2024: 5241-5250 - [i8]Paul Schmiedmayer, Adrit Rao, Philipp Zagar, Vishnu Ravi, Aydin Zahedivash, Arash Fereydooni, Oliver O. Aalami:
LLM on FHIR - Demystifying Health Records. CoRR abs/2402.01711 (2024) - [i7]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:
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation. CoRR abs/2405.07896 (2024) - [i6]Philipp Zagar, Vishnu Ravi, Lauren Aalami, Stephan Krusche, Oliver O. Aalami, Paul Schmiedmayer:
Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications. CoRR abs/2408.04680 (2024) - 2023
- [c10]Adrit Rao, Joon-Young Lee, Oliver O. Aalami:
Studying the Impact of Augmentations on Medical Confidence Calibration. ICCV (Workshops) 2023: 2454-2464 - [i5]Paul Schmiedmayer, Vishnu Ravi, Oliver O. Aalami:
The Path to a Modular and Standards-based Digital Health Ecosystem. CoRR abs/2311.03363 (2023) - 2022
- [j3]Joshua C. Burton, Samantha Regala, Deonte Williams, Aditi Desai, Han He, Oliver O. Aalami, Edward R. Mariano, Randall S. Stafford, Seshadri C. Mudumbai:
A Comparative Utility Score for Digital Health Tools. J. Medical Syst. 46(6): 34 (2022) - [c9]Adrit Rao, Oliver O. Aalami:
Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning. AMAI@MICCAI 2022: 1-7 - 2021
- [c8]Vishal Shenoy, Suleman I. Khan, Edmund Lee, Oliver O. Aalami:
Vascular1: Development and Evaluation of a Virtual Reality Ultrasound Guided Vascular Access Training Module. BIBM 2021: 1519-1523 - [c7]Adrit Rao, Akshay Chaudhari, Oliver O. Aalami:
Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 56-67 - [c6]Adrit Rao, Jongchan Park, Oliver O. Aalami:
The Value of Visual Attention for COVID-19 Classification in CT Scans. ICCVW 2021: 433-438 - [c5]Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami:
Studying the Effects of Self-Attention for Medical Image Analysis. ICCVW 2021: 3409-3418 - [c4]Adrit Rao, Kevin Battenfield, Oliver O. Aalami:
Waveform Phasicity Prediction from Arterial Sounds through Spectrogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment. MWSCAS 2021: 462-466 - [i4]Adrit Rao, Kevin Battenfield, Oliver O. Aalami:
Waveform Phasicity Prediction from Arterial Sounds through Spectogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment. CoRR abs/2104.09748 (2021) - [i3]Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami:
Studying the Effects of Self-Attention for Medical Image Analysis. CoRR abs/2109.01486 (2021) - 2020
- [j2]Raheel Ata, Neil Gandhi, Hannah Rasmussen, Osama El-Gabalawy, Santiago Gutierrez, Alizeh Ahmad, Siddharth Suresh, Roshini Ravi, Kara Rothenberg, Oliver O. Aalami:
Author Correction: Clinical validation of smartphone-based activity tracking in peripheral artery disease patients. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2018
- [j1]Raheel Ata, Neil Gandhi, Hannah Rasmussen, Osama El-Gabalawy, Santiago Gutierrez, Alizeh Ahmad, Siddharth Suresh, Roshini Ravi, Kara Rothenberg, Oliver O. Aalami:
Clinical validation of smartphone-based activity tracking in peripheral artery disease patients. npj Digit. Medicine 1 (2018) - [c3]Varun N. Shenoy, Elizabeth Foster, Lauren Aalami, Bakar Majeed, Oliver O. Aalami:
Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks. BIBM 2018: 1017-1021 - [i2]Varun N. Shenoy, Elizabeth Foster, Lauren Aalami, Bakar Majeed, Oliver O. Aalami:
Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks. CoRR abs/1807.04355 (2018) - [i1]Varun N. Shenoy, Oliver O. Aalami:
Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition. CoRR abs/1807.04888 (2018) - 2017
- [c2]Pierre-Antoine Fougerouse, Mobin Yasini, Guillaume Marchand, Oliver O. Aalami:
A Cross-Sectional Study of Prominent US Mobile Health Applications: Evaluating the Current Landscape. AMIA 2017 - [c1]Varun N. Shenoy, Oliver O. Aalami:
Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition. AMIA 2017
Coauthor Index
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last updated on 2026-04-27 23:25 CEST by the dblp team
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