A Transformer Approach to Contextual Sarcasm Detection in Twitter. - Hunter Gregory; Steven Li; Pouya Mohammadi 002; Natalie Tarn; Rachel Lea Draelos; Cynthia Rudin (Fig-Lang@ACL, 2020)

Metaphor Detection Using Contextual Word Embeddings From Transformers. - Jerry Liu; Nathan O'Hara; Alexander Rubin; Rachel Lea Draelos; Cynthia Rudin (Fig-Lang@ACL, 2020)

HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images. - Rachel Lea Draelos; Lawrence Carin (CoRR, 2020)

Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM. - Rachel Lea Draelos; Lawrence Carin (CoRR, 2021)

Playing Codenames with Language Graphs and Word Embeddings. - Divya Koyyalagunta; Anna Y. Sun; Rachel Lea Draelos; Cynthia Rudin (J. Artif. Intell. Res., 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)

Towards Fully Automated Interpretation of Volumetric Medical Images with Deep Learning. - Rachel Lea Draelos (2021)

Explainable multiple abnormality classification of chest CT volumes. - Rachel Lea Draelos; Lawrence Carin (Artif. Intell. Medicine, 2022)

The Cydoc smart patient intake form accelerates medical note writing. - Angela Hemesath; Kenyon Wright; Matthew Michael Draelos; Rachel Lea Draelos (CoRR, 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, 2023)