4 citations · 5 across the 8 of their papers we have counts for
8 papers
MedSegBenchmarker: A Raw-Count-First Framework for Controlled 2D Medical Image Segmentation Benchmarks
Vanessa Borst, Lukas Horn, Daniel Grillmeyer +2
Despite rapid advances in MIS, fair and reproducible comparisons of segmentation models remain challenging due to heterogeneous datasets, inconsistent evaluation protocols, and rap…
Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study
Daniel Grillmeyer, Marius Hadry, Michael Stenger +3
With rising global energy demand and growing awareness of climate change and its impacts, the share of renewable energies in the global energy mix continues to grow. Unlike convent…
GP-VMSMA: Benchmarking General-Purpose Vision Models and Specialized Architectures for 2D Medical Image Segmentation
Vanessa Borst, Samuel Kounev, Anna Riedmann
Medical image segmentation (MIS) is a fundamental component of computer-assisted diagnosis and clinical decision support. Over the past decade, numerous architectures specifically…
WoundAIssist: Development and Evaluation of an AI-Based Mobile Application for Remote Chronic Wound Care in Elderly Patients
Vanessa Borst, Anna Riedmann, Tassilo Dege +4
The rising prevalence of chronic wounds, especially in aging populations, presents a significant healthcare challenge due to prolonged hospitalizations, elevated costs, and reduced…
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
Robert Leppich, Michael Stenger, Daniel Grillmeyer +2
We introduce a temporal feature encoding architecture called Time Series Representation Model (TSRM) for multivariate time series forecasting and imputation. The architecture is st…
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care
Vanessa Borst, Timo Dittus, Tassilo Dege +2
Chronic wounds affect a large population, particularly the elderly and diabetic patients, who often exhibit limited mobility and co-existing health conditions. Automated wound moni…
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices
Vanessa Borst, Timo Dittus, Konstantin Müller +1
The aging population poses numerous challenges to healthcare, including the increase in chronic wounds in the elderly. The current approach to wound assessment by therapists based…
Time Series Representation Models
Robert Leppich, Vanessa Borst, Veronika Lesch +1
Time series analysis remains a major challenge due to its sparse characteristics, high dimensionality, and inconsistent data quality. Recent advancements in transformer-based techn…