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Michael C. Muelly
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Cited by
Year
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
20332018
Debugging tests for model explanations
J Adebayo, M Muelly, I Liccardi, B Kim
arXiv preprint arXiv:2011.05429, 2020
1752020
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
822021
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
732019
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
202018
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
112017
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
82016
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
62019
Spotting brain bleeding after sparse training
MC Muelly, L Peng
Nature Biomedical Engineering 3 (3), 161-162, 2019
62019
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
42023
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
32017
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
32016
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
12023
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
12013
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
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