A Stochastic Minimum-Norm Approach to Image and Texture Interpolation

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A Stochastic Minimum-Norm Approach to Image and Texture Interpolation

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Interpolation and Quantifiers in Ortholattices

Aggregating Spatial and Photometric Context for Photometric Stereo

Accessible and highly observable gastrointestinal organoid model systems for studying host-pathogen interactions

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Bioengineering functional organoid models across scales

Clinically compliant cryopreservation of differentiated retinal pigment epithelial cells

Towards Trustworthy Deep Learning for Image Reconstruction

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Development and clinical validation of computational imaging biomarkers for neurodegenerative diseases

Characterization of the gut-bone marrow axis through bile acid signaling

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: Application to cardiac electromechanics

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Stable Nonconvex-Nonconcave Training via Linear Interpolation

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation

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The Antioxidant and Proapoptotic Effects of Sternbergia clusiana Bulb Ethanolic Extract on Triple-Negative and Estrogen-Dependent Breast Cancer Cells In Vitro

A single-cell-based characterization of mammalian adipose stem and progenitor cell heterogeneity and function