State-of-the-art machine learning methods for constitutive modeling typically require many tensorial stress–strain pairs, which can be challenging to acquire. Noncontact model identification ...
This important work describes a set of parameters that give a robust description of shape features of cells in tissues. The evidence for the usefulness of these parameters is solid. The work should be ...
A natural image often contains components of different scales. This project provides a powerful tool to decompose N-dimensional numpy.ndarray or torch.Tensor data into its constituent scale components ...
Central European Institute of Technology, Masaryk University, Kamenice 5, CZ-62500 Brno, Czech Republic National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 5, ...
During the peer-review process the editor and reviewers write an eLife assessment that summarises the significance of the findings reported in the article (on a scale ranging from landmark to useful) ...
Prostate cancer (PCa) is a major world-wide health concern. Current diagnostic methods involve Prostate-Specific Antigen (PSA) blood tests, biopsies, and Magnetic Resonance Imaging (MRI) to assess ...
The computational neuroscience field has heavily concentrated on the modeling of neuronal functions, largely ignoring other brain cells, including one type of glial cell, the astrocytes. Despite the ...
Gradient-based inverse design of nanophotonic devices with differentiable electromagnetic solvers built in PyTorch. Note: DiffNano is an early-stage personal research project. It is not ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results