Adrit Rao

According to our database, Adrit Rao authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

LLM on FHIR - Demystifying Health Records.

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

CoRR, 2024

IMIL: Interactive Medical Image Learning Framework.

Adrit Rao, Andrea Fisher, Ken Chang, John Christopher Panagides, Katherine McNamara, Joon-Young Lee, Oliver O. Aalami

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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

OCTAI: Smartphone-based Optical Coherence Tomography Image Analysis System.

Adrit Rao, Harvey A. Fishman

Proceedings of the IEEE World AI IoT Congress, 2021