Nishanth Arun

Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging

Nishanth Arun, Nathan Gaw, Praveer Singh et al. · Radiology Artificial Intelligence · 2021 · 270 citations · Full text

Medicine, Health Informatics, Radiology +14

Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks

Matthew Li, Nishanth Arun, Mishka Gidwani et al. · Radiology Artificial Intelligence · 2020 · 157 citations · Full text

Medicine, Health Informatics, Radiology +16

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

Raghav Mehta, Angelos Filos, Ujjwal Baid et al. · The Journal of Machine Learning for Biomedical Imaging · 2022 · 53 citations · Full text

Computing, Oncology, Radiology +17

Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density

Ken Chang, Andrew Beers, Laura Brink et al. · Journal of the American College of Radiology · 2020 · 51 citations · Full text

Computing, Biomedical Engineering, Computer Science +17

Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging

Nishanth Arun, Nathan Gaw, Praveer Singh et al. · medRxiv · 2020 · 41 citations · Full text

Computing, Computer Science, Radiology +13