2026-02-03 10:29 |
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2026-02-03 10:26 |
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2026-02-03 10:25 |
[DZNE-2026-00140]
Journal Article
Franz, J. ; Reichmann, J. ; Eckermann, M. ; et al
3D imaging of neuronal inclusions and protein aggregates in human neurodegeneration by multiscale x-ray phase-contrast tomography.
This study leverages x-ray phase-contrast tomography (XPCT) for detailed analysis of neurodegenerative diseases, focusing on the three-dimensional (3D) visualization and quantification of neuropathological features within fixed human postmortem tissue. XPCT with synchrotron radiation offers micrometer and even sub-micron resolution, enabling us to examine intra- and extraneuronal aggregates and inclusions such as Lewy bodies (LBs), granulovacuolar degeneration (GvD), Hirano bodies (HBs), neurofibrillary tangles (NFTs), β-amyloid plaques, and vascular amyloid deposits in three dimensions. [...]
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2026-02-02 11:42 |
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2026-02-02 11:30 |
[DZNE-2026-00138]
Journal Article
Li, C. ; Jiao, F. ; Wu, S. ; et al
Enhancing interpretability of AI with radiomics-based deep neural network: proof of concept in the classification of Parkinsonian syndromes with 18F-FDG PET imaging.
Interpretability and reproducibility remain major challenges in applying deep neural network (DNN) to neuroimaging-based diagnosis. This study proposes a radiomics-guided dual-channel deep neural network (RDDNN) to improve feature transparency and enhance clinical understanding in the classification of Parkinsonian syndromes.In this bi-centric study, we analysed two independent cohorts comprising 1,275 patients with idiopathic Parkinson's disease (IPD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP), alongside 223 healthy controls from Huashan Hospital and 90 patients with IPD, MSA, and PSP (34IPD, 17MSA, 39PSP) from the University Hospital Munich. [...]
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2026-02-02 11:28 |
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2026-02-02 11:17 |
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2026-02-02 11:14 |
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2026-01-30 15:30 |
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2026-01-30 15:26 |
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