| Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks RL Draelos, L Carin arXiv preprint arxiv:2011.08891, 2020 | 88* | 2020 |
| Tissue-specific RNA-Seq in human evoked inflammation identifies blood and adipose LincRNA signatures of cardiometabolic diseases Y Liu, JF Ferguson, C Xue, RL Ballantyne, IM Silverman, SJ Gosai, ... Arteriosclerosis, thrombosis, and vascular biology 34 (4), 902-912, 2014 | 78 | 2014 |
| Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes RL Draelos, D Dov, MA Mazurowski, JY Lo, R Henao, GD Rubin, L Carin Medical Image Analysis, 2021 | 49 | 2021 |
| Genome-wide interrogation reveals hundreds of long intergenic noncoding RNAs that associate with cardiometabolic traits RL Ballantyne, X Zhang, S Nunez, C Xue, W Zhao, E Reed, D Salaheen, ... Human molecular genetics 25 (14), 3125-3141, 2016 | 37 | 2016 |
| Machine Learning Algorithms to Predict Mortality and Allocate Palliative Care for Older Patients With Hip Fracture MP Cary, F Zhuang, RL Draelos, W Pan, S Amarasekara, BJ Douthit, ... Journal of the American Medical Directors Association, 2020 | 24 | 2020 |
| A transformer approach to contextual sarcasm detection in twitter H Gregory, S Li, P Mohammadi, N Tarn, R Draelos, C Rudin Proceedings of the second workshop on figurative language processing, 270-275, 2020 | 23 | 2020 |
| Metaphor detection using contextual word embeddings from transformers J Liu, N O’Hara, A Rubin, R Draelos, C Rudin Proceedings of the Second Workshop on Figurative Language Processing, 250-255, 2020 | 22 | 2020 |
| Best use of train/val/test splits, with tips for medical data R Draelos Glass Box: Artificial Intelligence+ Medicine 3, 2019 | 21 | 2019 |
| How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare J Allgaier, L Mulansky, RL Draelos, R Pryss Artificial Intelligence in Medicine 143, 102616, 2023 | 17 | 2023 |
| GENESIS: gene-specific machine learning models for variants of uncertain significance found in catecholaminergic polymorphic ventricular tachycardia and long QT syndrome … RL Draelos, JE Ezekian, F Zhuang, ME Moya-Mendez, Z Zhang, ... Circulation: Arrhythmia and Electrophysiology 15 (4), e010326, 2022 | 16 | 2022 |
| Measuring performance: Auc (auroc) R Draelos Glass Box, 2019 | 15 | 2019 |
| Explainable multiple abnormality classification of chest CT volumes RL Draelos, L Carin Artificial Intelligence in Medicine 132, 102372, 2022 | 12 | 2022 |
| Playing Codenames with Language Graphs and Word Embeddings D Koyyalagunta, A Sun, RL Draelos, C Rudin Journal of Artificial Intelligence Research (JAIR), 2021 | 10 | 2021 |
| Measuring performance: The confusion matrix R Draelos Glass Box 1, 2019-2021, 2019 | 8 | 2019 |
| The Cydoc smart patient intake form accelerates medical note writing A Hemesath, K Wright, MM Draelos, RL Draelos arXiv preprint arXiv:2306.13680, 2023 | | 2023 |
| Towards Fully Automated Interpretation of Volumetric Medical Images with Deep Learning RLB Draelos Duke University, 2021 | | 2021 |
| Predicting Pathogenicity Of Long QT Syndrome-Associated Variants Of Uncertain Significance Using A Functionally And Prospectively Validated Machine-Learning Platform J Ezekian, R Draelos, F Zhuang, Z Zhang, R Manivannan, W Eisner, ... HRS 2020, 2020 | | 2020 |
| Novel Long Intergenic Noncoding RNAs Modulate Adipose Functions in Human X Zhang, R Ballantyne, C Xue, JF Ferguson, B Gregory, M Li, MP Reilly Circulation 130 (suppl_2), A20439-A20439, 2014 | | 2014 |
| Tissue-Specific RNAseq Identifies Novel and Cardiometabolic Disease--Associated Long Intergenic Noncoding RNAs in Human Adipose X Zhang, R Ballantyne, JF Ferguson, C Xue, S Gosai, B Gregory, M Li, ... Arteriosclerosis, Thrombosis, and Vascular Biology 34 (suppl_1), A219-A219, 2014 | | 2014 |
| Modulation of Novel Long Intergenic Noncoding RNAs in Human Macrophage Polarization H Zhang, C Xue, RL Ballantyne, R Shah, K Bermingham, C Hinkle, ... Arteriosclerosis, Thrombosis, and Vascular Biology 34 (suppl_1), A364-A364, 2014 | | 2014 |
