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Oliver O. Aalami
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2020 – today
- 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 2024-10-11 17:31 CEST by the dblp team
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