13 results on '"J. Erickson"'
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2. A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI.
3. Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning.
4. Deep Learning Improves the Temporal Reproducibility of Aortic Measurement.
5. RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
6. Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI.
7. Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.
8. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.
9. Toolkits and Libraries for Deep Learning.
10. Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence.
11. Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
12. Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data.
13. Machine Learning: Discovering the Future of Medical Imaging.
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