activity
20212025
most citedROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset

55 citations · 121 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

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…

eess.IV2024★ 55 cited

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…

cs.DL2023★ 1 cited

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…

cs.CV2023★ 1 cited

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru +122

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…

cs.CV2022★ 17 cited

Biomedical image analysis competitions: The state of current participation practice

Matthias Eisenmann, Annika Reinke, Vivienn Weru +352

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…

cs.LG2022★ 27 cited

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),…

cs.CV2021★ 20 cited

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers

Louise Bloch, Raphael Brüngel, Christoph M. Friedrich

Diabetic foot ulcers are a common manifestation of lesions on the diabetic foot, a syndrome acquired as a long-term complication of diabetes mellitus. Accompanying neuropathy and v…