Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI-Reference-Cited by-同舟云学术

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Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI

Published:2021-05-01 Issue:3 Volume:3 Page:e190169
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Baur Christoph^ORCID,Wiestler Benedikt^ORCID,Muehlau Mark^ORCID,Zimmer Claus,Navab Nassir,Albarqouni Shadi^ORCID

Funder

Deutsche Forschungsgemeinschaft

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2021190169

Reference14 articles.

1. Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction

2. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

3. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

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1. Insights and Considerations in Development and Performance Evaluation of Generative Adversarial Networks (GANs): What Radiologists Need to Know;Diagnostics;2024-08-13

2. Generative adversarial network–based reconstruction of healthy anatomy for anomaly detection in brain CT scans;Journal of Medical Imaging;2024-08-09

3. Investigating the discrimination ability of 3D convolutional neural networks applied to altered brain MRI parametric maps;Artificial Intelligence in Medicine;2024-07

4. Clinical applications of deep learning in neuroinflammatory diseases: A scoping review;Revue Neurologique;2024-05

5. Distance Analysis and Dimensionality Reduction using PCA on Brain Tumour MRI Scans;EAI Endorsed Transactions on Pervasive Health and Technology;2024-04-04

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