Non-rigid point cloud registration is central to soft-tissue shape analysis, but large deformations, noise, and outliers make correspondence estimation challenging. Most learning-based methods rely on local objectives such as Chamfer distance, which encourage point-wise proximity but do not constrain the global plausib...
Sara Monji-Azad, Rohit Beer, Marvin Kinz et al.· arXiv.org· 0 citations
Q-space trajectory imaging (QTI) provides promising markers of tissue microstructure, but clinical translation requires shorter acquisitions, faster analysis, and more robust parameter estimation at high spatial resolution. To address these barriers, we trained a voxel-wise multilayer perceptron (MLP) to infer QTI-deri...
Oliver Gödicke, Jin-Yang Yu, F. Laun et al.· Magnetic Resonance Imaging· 0 citations
Fast dMRI protocols for obtaining rotational invariants of the cumulant expansion were paired with constrained weighted linear least squares (CWLLS) to stabilize the more fragile WLLS fit, yielding high-quality parameter maps at an online-ready computational cost.
Jin-Yang Yu, Oliver Gödicke, F. Laun et al.· 0 citations
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