Distribution of cross correlations in functional connectivity in ABIDE sample. by Alexandria M. Jensen (6494957)

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Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

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Visual depiction of the MSA algorithm. by Kayson Fakhar (12890364)

Examples of four simulated networks and adjacency matrices. by Alexandria M. Jensen (6494957)

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Similarity between the hierarchical community structure of structural and functional brain graphs. by Arian Ashourvan (6685232)

Multi-scale detection of hierarchical community architecture in structural and functional brain networks by Arian Ashourvan (6685232)

“…<div><p>Community detection algorithms have been widely used to study the organization of complex networks like the brain. …”

Local topological scales of hierarchical community organization in structural and functional brain graphs. by Arian Ashourvan (6685232)

Consistency of model-derived predictive patterns as a function of sample diversity. by Oualid Benkarim (9707986)

Out-of-distribution prediction and performance of predictive models as a function of sample diversity. by Oualid Benkarim (9707986)

Examples of between- and within-community Beta distributions. by Alexandria M. Jensen (6494957)

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The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

Generated blended data using mouse brain cells and human embryonic heart cells, labeled as <i>Mix</i>[<i>a</i>,<i>b</i>,<i>c</i>], indicates the proportion of mouse brain cells fou... by Nuray Sogunmez Erdogan (21533872)

Application of multi-scale community detection to subject-level and group-level resting state functional brain networks. by Arian Ashourvan (6685232)

The SSIM for the different algorithms. by Bingbing Li (461702)

“…Different types of noise require different denoising algorithms and techniques to maintain image quality and fidelity. …”

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

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Workflow of algorithm for whole brain flow simulation. by Erlend Hodneland (391541)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…For proper execution, this folder must be placed within the <b>KrakenOS</b> directory, at the same level as the <b>Examples</b> folder.…”

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

“…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”