Rehabilitation is the cornerstone of clinical care following spinal cord injury (SCI) and is frequently incorporated into preclinical studies to evaluate emerging therapies. However, the variables that influence the effectiveness of rehabilitation interventions in rodent models remain poorly characterized, limiting the...
Jarred M. Griffin, P. Papaioannou, Rohan Menon et al.· bioRxiv· 0 citations
A diffusion-based framework for robust and accurate semantic segmentation of lumbar spine MRI scans from patients with low back pain, regardless of whether the scans are T1- or T2-weighted, showed a segmentation performance comparable to that of the state-of-the-art non-diffusion nnUnet.
Maria Monzon, Thomas Iff, E. Konukoglu et al.· 0 citations
An architecture-agnostic framework is proposed that augments VLM inputs with spatially localized, disc-level anomaly heatmaps generated by a semi-supervised U-Net++ model that improves anatomical sensitivity through explicit visual grounding and provides an independent interpretability output for clinical oversight, mo...
Bruno Palau, Franziska Vogt, Daria Laslo et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.