Rachel Lea Draelos

12 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare. Artif. Intell. Medicine Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, Rüdiger Pryss
2023	J	`jnl`	The Cydoc smart patient intake form accelerates medical note writing. CoRR Angela Hemesath, Kenyon Wright, Matthew Michael Draelos, Rachel Lea Draelos
2022	J	`jnl`	Explainable multiple abnormality classification of chest CT volumes. Artif. Intell. Medicine Rachel Lea Draelos, Lawrence Carin
2021	J	`jnl`	Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM. CoRR Rachel Lea Draelos, Lawrence Carin
2021	J	`jnl`	Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
2021	J	`jnl`	Playing Codenames with Language Graphs and Word Embeddings. CoRR Divya Koyyalagunta, Anna Y. Sun, Rachel Lea Draelos, Cynthia Rudin
2021	J	`jnl`	Playing Codenames with Language Graphs and Word Embeddings. J. Artif. Intell. Res. Divya Koyyalagunta, Anna Y. Sun, Rachel Lea Draelos, Cynthia Rudin
2021	—	`—`	Towards Fully Automated Interpretation of Volumetric Medical Images with Deep Learning. Rachel Lea Draelos
2020	—	`conf`	A Transformer Approach to Contextual Sarcasm Detection in Twitter. Fig-Lang@ACL Hunter Gregory, Steven Li, Pouya Mohammadi, Natalie Tarn, Rachel Lea Draelos, Cynthia Rudin
2020	J	`jnl`	HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images. CoRR Rachel Lea Draelos, Lawrence Carin
2020	J	`jnl`	Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. CoRR Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
2020	—	`conf`	Metaphor Detection Using Contextual Word Embeddings From Transformers. Fig-Lang@ACL Jerry W. Liu, Nathan O'Hara, Alexander Rubin, Rachel Lea Draelos, Cynthia Rudin