output
20022025
most citedMedical Deep Learning -- A systematic Meta-Review

259 citations

42 papers

cs.CL2025★ 1 cited

TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain

Bohao Chu, Meijie Li, Sameh Frihat +4

While document summarization with LLMs has enhanced access to textual information, concerns about the factual accuracy of these summaries persist, especially in the medical domain.…

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…

q-bio.NC2025★ 5 cited

Self-orthogonalizing attractor neural networks emerging from the free energy principle

Tamas Spisak, Karl Friston

Attractor dynamics are a hallmark of many complex systems, including the brain. Understanding how such self-organizing dynamics emerge from first principles is crucial for advancin…

eess.IV2024★ 4 cited

An Enhanced Harmonic Densely Connected Hybrid Transformer Network Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space Tensor Merging

Bill Cassidy, Christian Mcbride, Connah Kendrick +11

Chronic wounds and associated complications present ever growing burdens for clinics and hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming increasi…

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…

econ.GN2024★ 6 cited

Long-Term Effects of Hiring Subsidies for Low-Educated Unemployed Youths

Andrea Albanese, Bart Cockx, Muriel Dejemeppe

We use regression discontinuity design and difference-in-differences methods to estimate the impact of a one-time hiring subsidy for low-educated unemployed youths in Belgium durin…