Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical ImagingNishanth Arun, Jayashree Kalpathy–Cramer, Julius Adebayo et al.|Radiology Artificial Intelligence|2021Cited by 286
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking ResultsRaghav Mehta, Elizabeth R. Gerstner, Angelos Filos et al.|The Journal of Machine Learning for Biomedical Imaging|2022Cited by 56
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical ImagingNishanth Arun, Jayashree Kalpathy–Cramer, Nathan Gaw et al.|medRxiv|2020Cited by 41
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical ImagingNishanth Arun, Jayashree Kalpathy–Cramer, Nathan Gaw et al.|arXiv (Cornell University)|2020Cited by 19
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19Matthew Li, Jayashree Kalpathy–Cramer, Nishanth Arun et al.|Medicine|2022Cited by 19