Detecting amyloid positivity from MRI scans using comprehensible convolutional neural networks
Fedor Levin, Qingyue Li, Devesh Singh, Katharina Buerger, Klaus Fliessbach, Michael T Heneka, Luca Kleineidam, Christoph Laske, Robert Perneczky, Oliver Peters, Josef Priller, Alfredo Ramirez, Anja Schneider, Annika Spottke, Michael Wagner, Jens Wiltfang, Emrah Düzel, Frank Jessen, Stefan Teipel, Ma · 2025
Read Detecting amyloid positivity from MRI scans using comprehensible convolutional neural networks by Fedor Levin, Qingyue Li, Devesh Singh, Katharina Buerger, Klaus Fliessbach, Michael T Heneka, Luca Kleineidam, Christoph Laske, Robert Perneczky, Oliver Peters, Josef Priller, Alfredo Ramirez, Anja Schneider, Annika Spottke, Michael Wagner, Jens Wiltfang, Emrah Düzel, Frank Jessen, Stefan Teipel, Ma (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11714449.txt.
Description
Fedor Levin and co-authors test in 2025 whether a neural network can spot signs of Alzheimer's disease in a standard MRI scan. The cheap, common scan does not show the amyloid protein that marks the disease. A network that could infer its presence would save costly special scans.
The team had earlier built a network that flags the disease from MRI and shows which image traits drove its call. Here they ask if the same approach can flag amyloid itself. The work sits in a large German study of aging and dementia. A clear network, whose reasons a doctor can inspect, is more likely to be trusted in a clinic. If MRI based flags prove sound, they could sort who needs the dearer scan.
Catalog record
| CREATOR | Fedor Levin, Qingyue Li, Devesh Singh, Katharina Buerger, Klaus Fliessbach, Michael T Heneka, Luca Kleineidam, Christoph Laske, Robert Perneczky, Oliver Peters, Josef Priller, Alfredo Ramirez, Anja Schneider, Annika Spottke, Michael Wagner, Jens Wiltfang, Emrah Düzel, Frank Jessen, Stefan Teipel, Ma |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |