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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Preprint Sep 2026

Ischemic Stroke Segmentation and Net Water Uptake Quantification on Multicenter Non-Contrast CT Using Supervised Target-Domain Adaptation

The approach enabled low-error NWU quantification from baseline NCCT without advanced imaging, supporting further prospective clinical evaluation and targeting NCCT-only infarct segmentation across heterogeneous external cohorts, although performance varied across domains.

Linus Britt, M. Nielsen, S. Klapproth et al. · 0 citations
Aug 2026

Detection of Vascular Pathologies in Non-contrast Magnetic Resonance Images for Early Screening

Practical recommendations for automated segmentation and future validation requirements are outlined: favor self-configuring frameworks like nnU-Net when compute resources permit, consider lightweight 2D models such as YOLOv8 for fast screening, and ensure rigorous cross-site validation before potential clinical use.

Patricia García-Berlanga, Juan Zapata, J. Martínez-Alajarín et al. · 0 citations
Open access Aug 2026

Development and validation of a DWI-based intra- and peri-infarction radiomics model for predicting neurological deterioration in acute ischemic stroke

Introduction Early prediction of neurological deterioration (ND) in acute ischemic stroke (AIS) remains challenging. We aimed to develop a diffusion-weighted imaging (DWI)-based radiomic model that integrates intra- and peri-infarction radiomic signatures with clinical characteristics to improve ND prediction. Methods...

Pan Si, C. Zong, Li Liu et al. · 0 citations
#diffusion models Open access Sep 2026

White matter hyperintensity radiomics predicts 90-day diffusion-weighted imaging-confirmed acute ischemic stroke after diffusion-weighted imaging-negative transient ischemic attack: preliminary findings from a retrospective machine-learning study

Preliminary findings indicate that T2-FLAIR WMH radiomics may provide promising internal discrimination for predicting 90-day DWI-confirmed AIS after DWI-negative TIA in this selected high-risk cohort.

Lian Liu, Yunyun Lyu, Zhi-Ping Li et al. · 0 citations
Open access Sep 2026

Evaluation of accelerated whole-body diffusion weighted imaging with deep learning reconstruction in patients with metastatic prostate cancer: assessment of image quality and ADC estimates.

DL-based reconstruction enables faster WB-DWI acquisition without compromising image quality or ADC quantification, supporting clinical implementation in metastatic prostate cancer staging and therapy assessment.

E. Kousi, M. Rata, Doh-Mu Koh et al. · 0 citations

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