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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Daniel Rueckert

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Review Open access Aug 2026

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review.

DL models demonstrate proof-of-concept for predicting KOA progression but require substantial improvements before clinical deployment, including rigorous multi-site validation and models that effectively leverage multimodal and longitudinal data.

Amna Gillani, R. von Eisenhart-Rothe, K. Woertler et al. · 1 citation
Preprint Aug 2026

NISF++: Geometrically-grounded implicit representations of 3D+time cardiac function from 2D short- and long-axis MR views

The in-plane segmentation performance is on-par with existing CMR segmentation methods and the majority of failure cases arise from limitations in the ground-truth segmentation, for which the representations make predictions with better anatomical accuracy than its original training data are explored.

Nil Stolt-Ans'o, Maik Dannecker, Steven Jia et al. · 3 citations
Jul 2026

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping

PRIME-SVR is presented, the first implicit neural representation (INR) framework for joint HR reconstruction from multi-echo MRI, which improves reconstruction sharpness, anatomical accuracy, and cross-TE structural consistency by 14%, and accelerates quantitative imaging by reducing the data needed for multi-TE recons...

Busra Bulut, Maik Dannecker, Thomas Sanchez et al. · 0 citations

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