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Found 9 papers, 2 papers with code
Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection
Reevaluating these regions in 10% of all cases with higher AI-predicted risk could have resulted in up to 33% early detections by a radiologist.
Single-Integrator Consensus Dynamics over Minimally Reactive Networks
A new concept of structural reactivity is introduced which measures how much a given network is far from becoming minimally reactive by link perturbations.
Fast algorithm to identify cluster synchrony through fibration symmetries in large information-processing networks
Recent studies revealed an important interplay between the detailed structure of fibration symmetric circuits and the functionality of biological and non-biological networks within which they have be identified.
Why polls fail to predict elections
In the past decade we have witnessed the failure of traditional polls in predicting presidential election outcomes across the world.
Social and Information Networks
Radiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans
Conclusion: When trained on a sufficiently large dataset, the developed 3D U-Net performed as well as fellowship-trained radiologists in detailed 2D segmentation of breast cancers at routine clinical MRI.
Circuits with broken fibration symmetries perform core logic computations in biological networks
We show that logic computational circuits in gene regulatory networks arise from a fibration symmetry breaking in the network structure.
Fibration symmetries uncover the building blocks of biological networks
Thus, symmetry fibrations describe how complex networks are built from the bottom up to process information through the synchronization of their constitutive building blocks.
High-resolution of particle contacts via fluorophore exclusion in deep-imaging of jammed colloidal packings
Understanding the structural properties of random packings of jammed colloids requires an unprecedented high-resolution determination of the contact network providing mechanical stability to the packing.
Soft Condensed Matter
Influence maximization in complex networks through optimal percolation
The whole frame of interconnections in complex networks hinges on a specific set of structural nodes, much smaller than the total size, which, if activated, would cause the spread of information to the whole network [1]; or, if immunized, would prevent the diffusion of a large scale epidemic [2, 3].
Physics and Society Disordered Systems and Neural Networks Social and Information Networks
