Data_Sheet_2_Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri).pdf by Niklas Pallast (6796196)

“…Following a modular structure developed in Python scripting language, the pipeline integrates established and newly developed algorithms. …”

Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”

Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

Influence of the number of runs and iterations on the TF shape and quality. by Ali-Kemal Aydin (10968731)

Reconstruction errors and their variability due to stochastic steps in the algorithms. by Hanane Omichessan (4991552)

Impact of breath-detection algorithms on main MBW outcomes. by Marc-Alexander Oestreich (13961375)

S1 File - by Yuh-Chin T. Huang (17867207)

“…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”

S1 Dataset - by Yuh-Chin T. Huang (17867207)

“…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Screening and diagnosis pipeline for the Challenge. by Matthew A. Reyna (16965038)

EEG Data Pre Stimulation/Sham (All Three Tasks) by Tristan Bless (6449501)

“…</div><div>Next, an Independent Component Analysis (ICA) was applied (RUNICA uses the infomax ICA algorithm of Bell & Sejnowski (1995), with the natural gradient feature of Amari, Cichocki & Yang (1999), and the extended-ICA algorithm of Lee, Girolami & Sejnowski (1999). …”

A comparison of the original images with the filtered images with the uniform window. by Abeer Aljohani (18497914)

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Confusion matrix values for different size of test samples and different choice of random states. by Abeer Aljohani (18497914)

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Comparison of the results obtained with the proposed method with other methods in literature. by Abeer Aljohani (18497914)

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A comparison of the spectral component of normal and abnormal images combined with the uniform window. by Abeer Aljohani (18497914)

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A visual representation of the windows used in the study. by Abeer Aljohani (18497914)

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The spectral component of normal peoples and Covid-19 infected peoples. by Abeer Aljohani (18497914)

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A comparison of the original images with the filtered images with the binomial window. by Abeer Aljohani (18497914)

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The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. by Abeer Aljohani (18497914)

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Graphical illustration of a spectral approach for training support vector machine. by Abeer Aljohani (18497914)

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