Showing 2026 · cs.CVShow all
2 papers · 2 filters
cs.CV2026
Enabling Vision and Cross-Modal Learning for Multimodal Stroke Recurrence Prediction: An Interpretable Two-Step Framework
Christian Gapp, Elias Tappeiner, Martin Welk +8
Multimodal stroke recurrence prediction requires effective integration of heterogeneous clinical and imaging data, yet modality imbalance often causes models to over-rely on domina…
cs.CV2026
Schrödinger-Inspired Time-Evolution for 4D Deformation Forecasting
Ahsan Raza Siyal, Markus Haltmeier, Ruth Steiger +2
Spatiotemporal forecasting of complex three-dimensional phenomena (4D: 3D + time) is fundamental to applications in medical imaging, fluid and material dynamics, and geophysics. In…