Rima Arnaout

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Medical Image Segmentation

Top Venues

npj Digit. Medicine

J. Am. Medical Informatics Assoc.

Publications

Josiah Couch, Rima Arnaout, Ramy Arnaout
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning. CoRR (2024)
Danielle L. Ferreira, Rima Arnaout
Are foundation models efficient for medical image segmentation? CoRR (2023)
Erin Chinn, Rohit Arora, Ramy Arnaout, Rima Arnaout
ENRICHing medical imaging training sets enables more efficient machine learning. J. Am. Medical Informatics Assoc. 30 (6) (2023)
Danielle L. Ferreira, Zaynaf Salaymang, Rima Arnaout
Label-free segmentation from cardiac ultrasound using self-supervised learning. CoRR (2022)
Chinmayee Athalye, Rima Arnaout
Domain-guided data augmentation for deep learning on medical imaging. CoRR (2022)
Sujay Kakarmath, Andre Esteva, Rima Arnaout, Hugh Harvey, Santosh Kumar, Evan Muse, Feng Dong, Leia Wedlund, Joseph C. Kvedar
Best practices for authors of healthcare-related artificial intelligence manuscripts. npj Digit. Medicine 3 (2020)
Rima Arnaout, Lara Curran, Erin Chinn, Yili Zhao, Anita Moon-Grady
Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions. CoRR (2018)
Ali Madani, Ramy Arnaout, Mohammad R. K. Mofrad, Rima Arnaout
Fast and accurate view classification of echocardiograms using deep learning. npj Digit. Medicine 1 (2018)
Ali Madani, Ramy Arnaout, Mohammad Mofrad, Rima Arnaout
Fast and accurate classification of echocardiograms using deep learning. CoRR (2017)