60 citations
- Dortmund University of Applied Sciences and ArtsDE5 papers
- Essen University HospitalDE5 papers
- Artificial Intelligence in Medicine (Canada)CA2 papers
- Aix-Marseille UniversitéFR1 paper
- Amen ClinicsUS1 paper
- Amsterdam NeuroscienceNL1 paper
- Amsterdam University Medical CentersNL1 paper
- Australian e-Health Research CentreAU1 paper
- Azienda-Unita' Sanitaria Locale Di CesenaIT1 paper
- Basque Center on Cognition, Brain and LanguageES1 paper
- Berlin Institute of Health at Charité - Universitätsmedizin BerlinDE1 paper
- Bernstein Center for Computational Neuroscience BerlinDE1 paper
7 papers
Evaluating Compliance with Visualization Guidelines in Diagrams for Scientific Publications Using Large Vision Language Models
Johannes Rückert, Louise Bloch, Christoph M. Friedrich
Diagrams are widely used to visualize data in publications. The research field of data visualization deals with defining principles and guidelines for the creation and use of these…
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset
Johannes Rückert, Louise Bloch, Raphael Brüngel +11
Automated medical image analysis systems often require large amounts of training data with high quality labels, which are difficult and time consuming to generate. This paper intro…
PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints using Literature Databases
Louise Bloch, Johannes Rückert, Christoph M. Friedrich
The growing impact of preprint servers enables the rapid sharing of time-sensitive research. Likewise, it is becoming increasingly difficult to distinguish high-quality, peer-revie…
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback
Ahmad Idrissi-Yaghir, Henning Schäfer, Nadja Bauer +1
Understanding customer feedback is becoming a necessity for companies to identify problems and improve their products and services. Text classification and sentiment analysis can p…
Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets
Louise Bloch, Christoph M. Friedrich
Purpose: Hard-to-interpret Black-box Machine Learning (ML) were often used for early Alzheimer's Disease (AD) detection. Methods: To interpret eXtreme Gradient Boosting (XGBoost),…