Rachel Lea Draelos

According to our database, Rachel Lea Draelos authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare.

Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, Rüdiger Pryss

Artif. Intell. Medicine, September, 2023

The Cydoc smart patient intake form accelerates medical note writing.

Angela Hemesath, Kenyon Wright, Matthew Michael Draelos, Rachel Lea Draelos

CoRR, 2023

2022

Explainable multiple abnormality classification of chest CT volumes.

Rachel Lea Draelos, Lawrence Carin

Artif. Intell. Medicine, 2022

2021

Towards Fully Automated Interpretation of Volumetric Medical Images with Deep Learning.

Rachel Lea Draelos

PhD thesis, 2021

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.

Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin

Medical Image Anal., 2021

Playing Codenames with Language Graphs and Word Embeddings.

Divya Koyyalagunta, Anna Y. Sun, Rachel Lea Draelos, Cynthia Rudin

J. Artif. Intell. Res., 2021

Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM.

Rachel Lea Draelos, Lawrence Carin

CoRR, 2021

2020

HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images.

Rachel Lea Draelos, Lawrence Carin

CoRR, 2020

Metaphor Detection Using Contextual Word Embeddings From Transformers.

Jerry Liu, Nathan O'Hara, Alexander Rubin, Rachel Lea Draelos, Cynthia Rudin

Proceedings of the Second Workshop on Figurative Language Processing, 2020

A Transformer Approach to Contextual Sarcasm Detection in Twitter.

Hunter Gregory, Steven Li, Pouya Mohammadi, Natalie Tarn, Rachel Lea Draelos, Cynthia Rudin

Proceedings of the Second Workshop on Figurative Language Processing, 2020