Assignment of signal to individual cell candidates in the third dimension. Saggital sections (i.e. orthogonal to acquisition) shown. by Adam L. Tyson (10892822)

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Total number of cells in each region, per brain, projecting to layer 2/3 neurons in primary visual cortex. by Adam L. Tyson (10892822)

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Architecture of the 3D ResNet. by Adam L. Tyson (10892822)

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Overview of the initial cell candidate detection steps, from raw data to a cuboid of data fed into the classification network. by Adam L. Tyson (10892822)

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Illustration of the cell detection process. by Adam L. Tyson (10892822)

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Architecture of the bottleneck 3D ResNet. by Adam L. Tyson (10892822)

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Simplified schematic diagram of the serial two-photon microscope and data acquisition process. by Adam L. Tyson (10892822)

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Cell classification. by Adam L. Tyson (10892822)

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Exploration of Bioinspired Algorithms in Multithreshold Image Segmentation for Medical Images by Fernando Ramírez sarmiento (18359679)

“…<p dir="ltr">The brain is essential for human functioning, but it is vulnerable to multiple pathologies, including strokes, brain tumors, and other disorders that compromise its structure and function. …”

Data_Sheet_1_Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri).docx by Niklas Pallast (6796196)

“…The AIDAmri pipeline includes automated pre-processing steps, such as raw data conversion, skull-stripping and bias-field correction as well as image registration with the Allen Mouse Brain Reference Atlas (ARA). Following a modular structure developed in Python scripting language, the pipeline integrates established and newly developed algorithms. …”

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

“…The AIDAmri pipeline includes automated pre-processing steps, such as raw data conversion, skull-stripping and bias-field correction as well as image registration with the Allen Mouse Brain Reference Atlas (ARA). Following a modular structure developed in Python scripting language, the pipeline integrates established and newly developed algorithms. …”

Fractal dimension of cortical functional connectivity networks & severity of disorders of consciousness by Thomas F. Varley (8446899)

“…<div><p>Recent evidence suggests that the quantity and quality of conscious experience may be a function of the complexity of activity in the brain and that consciousness emerges in a critical zone between low and high-entropy states. …”

Spreadsheets containing the graph parameters, brain areas and network values. by Jafar Zamani (12902504)

Phase diagram for global archetype model as a function of temperature. by Giulio Ruffini (383994)

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Studies with ML classification algorithms for distinguishing ASD and ADHD groups described in subsection 1.2. by Caroline L. Alves (14271413)

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

Binary Networks (Threshold = 0.4) by Majid Saberi (11796824)

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Model parameter estimates and standard errors for pooled-ERGM analysis of brain functional connectivity networks. by Fan Yin (170408)

MAP estimates and posterior standard deviations, conjugate Bayesian analysis of brain functional connectivity networks. by Fan Yin (170408)

BNA Neuromarker scores as a function of LEDD. by Sharon Hassin-Baer (420354)

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