Sanity checks for saliency maps J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim Advances in neural information processing systems 31, 2018 | 2034 | 2018 |
Debugging tests for model explanations J Adebayo, M Muelly, I Liccardi, B Kim arXiv preprint arXiv:2011.05429, 2020 | 175 | 2020 |
Post hoc explanations may be ineffective for detecting unknown spurious correlation J Adebayo, M Muelly, H Abelson, B Kim International conference on learning representations, 2021 | 82 | 2021 |
Generative modeling for small-data object detection L Liu, M Muelly, J Deng, T Pfister, LJ Li Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 73 | 2019 |
Sanity checks for saliency maps. arXiv 2018 J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim, G Brain arXiv preprint arXiv:1810.03292, 2018 | 20 | 2018 |
Using machine learning with dynamic exam block lengths to decrease patient wait time and optimize MRI schedule fill rate M Muelly, PB Stoddard, SS Vasanwala International Society for Magnetic Resonance in Medicine, 2017 | 11 | 2017 |
MRI schedule optimization through discrete event simulation and neural networks as a means of increasing scanner productivity M Muelly, SS Vasanawala Radiology Society of North America, 102nd Scientific Assembly and Annual Meeting, 2016 | 8 | 2016 |
View‐Sharing Artifact Reduction With Retrospective Compressed Sensing Reconstruction in the Context of Contrast‐Enhanced Liver MRI for Hepatocellular Carcinoma (HCC) Screening J Shaikh, PB Stoddard, EG Levine, AT Roh, M Saranathan, ST Chang, ... Journal of Magnetic Resonance Imaging 49 (4), 984-993, 2019 | 6 | 2019 |
Spotting brain bleeding after sparse training MC Muelly, L Peng Nature Biomedical Engineering 3 (3), 161-162, 2019 | 6 | 2019 |
Development and validation of a CT-based deep learning algorithm to augment non-invasive diagnosis of idiopathic pulmonary fibrosis MV Maddali, A Kalra, M Muelly, JJ Reicher Respiratory Medicine 219, 107428, 2023 | 4 | 2023 |
Automated quality control of MR images using deep convolutional neural networks MC Muelly, PB Stoddard, SS Vasanwala Proceedings of international society for magnetic resonance in medicine …, 2017 | 3 | 2017 |
Creation of an iOS and Android Mobile Application for Inferior Vena Cava (IVC) Filters: A Powerful Tool to Optimize Care of Patients with IVC Filters SE Deso, IA Idakoji, MC Muelly, WT Kuo Seminars in Interventional Radiology 33 (02), 137-143, 2016 | 3 | 2016 |
Computer-Aided Pulmonary Fibrosis Detection Leveraging an Advanced Artificial Intelligence Triage and Notification Software KC Selvan, A Kalra, J Reicher, M Muelly, A Adegunsoye Journal of Clinical Medicine Research 15 (8-9), 423, 2023 | 1 | 2023 |
Comparison of multi nuclear coil designs for 1H and 23Na in the human knee M Muelly, R Watkins, C Jordan, N Bangerter, G Gold Proceedings of the International Society for Magnetic Resonance in Medicine …, 2013 | 1 | 2013 |
A Machine Learning System to Indicate Diagnosis of Idiopathic Pulmonary Fibrosis Non-Invasively in Challenging Cases Y Ahmad, J Mooney, IE Allen, J Seaman, A Kalra, M Muelly, J Reicher Diagnostics 14 (8), 830, 2024 | | 2024 |
Machine learning models for automated diagnosis of disease database entities J Reicher, M Muelly US Patent App. 17/862,529, 2024 | | 2024 |
Machine learning models for automated diagnosis of disease database entities J Reicher, M Muelly US Patent App. 17/862,553, 2024 | | 2024 |
Analysis of Validation Performance of a Machine Learning Classifier in Interstitial Lung Disease Cases Without Definite or Probable Usual Interstitial Pneumonia Pattern on CT … M Chang, JJ Reicher, A Kalra, M Muelly, Y Ahmad Journal of Imaging Informatics in Medicine, 1-11, 2024 | | 2024 |
ARTIFICIAL INTELLIGENCE IN INCIDENTAL DETECTION OF LUNG FIBROSIS BY COMPUTED TOMOGRAPHY N Touloumes, A Kalra, JA Bradley, G Gagianas, M Muelly, J Reicher CHEST 164 (4), A3085-A3086, 2023 | | 2023 |
EE68 Cost-Effectiveness of Using a Novel Machine Learning Algorithm to Diagnose Idiopathic Pulmonary Fibrosis C Cadham, J Reicher, M Muelly, DW Hutton Value in Health 26 (6), S72, 2023 | | 2023 |