Data_Sheet_1_Cognitive Status Predicts Return to Functional Independence After Minor Stroke: A Decision Tree Analysis.docx by Mirjam R. Heldner (4476799)

“…The algorithm may help clinicians to tailor planning of patients' discharge.…”

Table_2_Meta-analysis of structural and functional brain abnormalities in schizophrenia with persistent negative symptoms using activation likelihood estimation.docx by Tingting Zhu (334564)

“…Afterward, we conducted a coordinate-based meta-analysis by using the activation likelihood estimation algorithm.</p>Results<p>Twenty-five structural MRI studies and thirty-two functional MRI studies were included in the meta-analyses. …”

Table_1_Meta-analysis of structural and functional brain abnormalities in schizophrenia with persistent negative symptoms using activation likelihood estimation.docx by Tingting Zhu (334564)

“…Afterward, we conducted a coordinate-based meta-analysis by using the activation likelihood estimation algorithm.</p>Results<p>Twenty-five structural MRI studies and thirty-two functional MRI studies were included in the meta-analyses. …”

Fig 12 - by Nisha Yadav (366131)

Video_1_Deep Learning for Classification and Selection of Cine CMR Images to Achieve Fully Automated Quality-Controlled CMR Analysis From Scanner to Report.MP4 by Vittoria Vergani (4846690)

“…The framework consisted of a first pre-processing step to exclude still acquisitions; two sequential convolutional neural networks (CNN), the first (CNN_class) to classify acquisitions in standard cine views (2/3/4-chamber and short axis), the second (CNN_QC) to classify acquisitions according to image quality and orientation; a final algorithm to select one good acquisition of each class. …”

metropolis_hastings.py;postprocessing.py;folkman_a_b_c_time.py;figures_Inverse_Proliferation.R;README.md from Bayesian inference of a non-local proliferation model by Zuzanna Szymańska (11679819)

“…;Auxiliary R (version 3.6.2) code to generate figures presenting the results of the random walk Metropolis-Hastings algorithm for the Bayesian inference of a non-local proliferation function.…”

Full Counting Statistics of Phonon Thermal Transport for Disordered Systems by Chao Zhang (9218868)

Quick guide on how to calculate P/B and Q/B for Ecopath with Ecosim (EwE) models by Daniel Vilas (13621390)

Varying population size and source-finding approach: Simulated data. by Kelly Finke (10204631)

“…<p>The top panel shows the average reconstruction accuracy of chromosome 21 as a function of pre-migration population size. The bottom panel shows the number of reconstructed individuals for the corresponding scenarios. …”

Comparison of protein coding genes differentially expressed in Stage 1 and Stage 2 blood (padj < 0.05). by Peter Nambala (7245215)

S4 Fig - by Peter Nambala (7245215)

DEGs and network analysis in Stage 1 case blood. by Peter Nambala (7245215)

Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens by Mochuan Liu (8177223)

“…In this work, we propose a general statistical learning framework to learn optimal DTRs that maximize the reward outcome while controlling the cumulative adverse risk to be below a pre-specified threshold. We convert this constrained optimization problem into an unconstrained optimization using a Lagrange function. …”

DEGs and network analysis in blood from Stage 2 case versus healthy controls. by Peter Nambala (7245215)

Comparison of accuracies before and after clause boundaries. by Sam Tilsen (406665)

Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 by Robert Zomer (12796235)

Overview of the MITOMATICS pipeline. by Sophie Charrasse (14885066)

Identification of a natural compound with mitochondrio-protective activity against hydrogen peroxide-induced mitochondrial damage. by Sophie Charrasse (14885066)

Data_Sheet_1_Using support vector machine to explore the difference of function connection between deficit and non-deficit schizophrenia based on gray matter volume.docx by Wenjing Zhu (487218)

“…This study aimed to investigate the alterations of functional connectivity between DS and NDS based on the ROI obtained by machine learning algorithms and differential GMV. …”

Statistical inference of kinetic properties on surrogate data. by Julian Rossbroich (10305768)