Publications

U-Net: Convolutional Networks for Biomedical Image Segmentation

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

David Moher and colleagues introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses

The theory of planned behavior

Fitting Linear Mixed-Effects Models Using<b>lme4</b>

Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 packa...

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why ...

ImageNet classification with deep convolutional neural networks

We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes. On t...

The Measurement of Observer Agreement for Categorical Data

This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially invo...

The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.

In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers awa...

Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set

Common method biases in behavioral research: A critical review of the literature and recommended remedies.

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how t...

Fiji: an open-source platform for biological-image analysis

Electric Field Effect in Atomically Thin Carbon Films

We describe monocrystalline graphitic films, which are a few atoms thick but are nonetheless stable under ambient conditions, metallic, and of remarkably high quality. The films...