Rima Arnaout

According to our database, Rima Arnaout authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Grade Inflation in Generative Models.

Phuc Nguyen, Miao Li, Alexandra Morgan, Rima Arnaout, Ramy Arnaout

CoRR, January, 2025

2024

Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning.

Josiah Couch, Rima Arnaout, Ramy Arnaout

CoRR, 2024

2023

ENRICHing medical imaging training sets enables more efficient machine learning.

Erin Chinn, Rohit Arora, Ramy Arnaout, Rima Arnaout

J. Am. Medical Informatics Assoc., 2023

Are foundation models efficient for medical image segmentation?

Danielle L. Ferreira, Rima Arnaout

CoRR, 2023

2022

Label-free segmentation from cardiac ultrasound using self-supervised learning.

Danielle L. Ferreira, Zaynaf Salaymang, Rima Arnaout

CoRR, 2022

Domain-guided data augmentation for deep learning on medical imaging.

Chinmayee Athalye, Rima Arnaout

CoRR, 2022

2020

Best practices for authors of healthcare-related artificial intelligence manuscripts.

Sujay Kakarmath, Andre Esteva, Rima Arnaout, Hugh Harvey, Santosh Kumar, Evan D. Muse, Feng Dong, Leia Wedlund, Joseph C. Kvedar

npj Digit. Medicine, 2020

2018

Fast and accurate view classification of echocardiograms using deep learning.

Ali Madani, Ramy Arnaout, Mohammad R. K. Mofrad, Rima Arnaout

npj Digit. Medicine, 2018

Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions.

Rima Arnaout, Lara Curran, Erin Chinn, Yili Zhao, Anita Moon-Grady

CoRR, 2018

2017

Fast and accurate classification of echocardiograms using deep learning.

Ali Madani, Ramy Arnaout, Mohammad R. K. Mofrad, Rima Arnaout

CoRR, 2017