176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of MünsterDE6 papers
- FH MünsterDE2 papers
- Karlsruhe Institute of TechnologyDE2 papers
- Otto-von-Guericke-Universität MagdeburgDE2 papers
- Acibadem City ClinicBG1 paper
- Al-Azhar UniversityEG1 paper
- Beckman Laser Institute and Medical ClinicUS1 paper
- Bochum University of Applied SciencesDE1 paper
- Burgas Free UniversityBG1 paper
- Charité - Universitätsmedizin BerlinDE1 paper
- Clínica AlemanaCL1 paper
- Clinical Centre of KragujevacRS1 paper
10 papers
An Integrated Open Source Software System for the Generation and Analysis of Subject-Specific Blood Flow Simulation Ensembles
Simon Leistikow, Thomas Miro, Adrian Kummerländer +6
Background and Objective: Hemodynamic analysis of blood flow through arteries and veins is critical for diagnosing cardiovascular diseases, such as aneurysms and stenoses, and for…
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning
Lucas Bickmann, Lucas Plagwitz, Antonius Büscher +2
Electrocardiogram data, one of the most widely available biosignal data, has become increasingly valuable with the emergence of deep learning methods, providing novel insights into…
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering
Lucas Plagwitz, Lucas Bickmann, Michael Fujarski +5
Electrocardiogram (ECG) recordings have long been vital in diagnosing different cardiac conditions. Recently, research in the field of automatic ECG processing using machine learni…
Hyperspectral near infrared imaging using a tunable spectral phasor
Jan Stegemann, Franziska Gröniger, Krisztian Neutsch +7
Hyperspectral imaging captures both spectral and spatial information from a sample. The near infrared (NIR, > 800 nm) is advantageous for biomedical imaging as it falls into the ti…
Influence of Solution Efficiency and Valence of Instruction on Additive and Subtractive Solution Strategies in Humans and GPT-4
Lydia Uhler, Verena Jordan, Jürgen Buder +2
Generative artificial intelligences, particularly large language models (LLMs), play an increasingly prominent role in human decision-making contexts, necessitating transparency ab…
The role of PHF5A in cancer: A review and update
Patrick Diaba-Nuhoho
PHF5A is a member of the zinc-finger proteins. To advance knowledge on their role in carcinogenesis, data from experimental studies, animal models and clinical studies in different…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…
A statistical framework for planning and analysing test-retest studies for repeatability of quantitative biomarker measurements
Moritz Fabian Danzer, Maria Eveslage, Dennis Görlich +1
There is an increasing number of potential biomarkers that could allow for early assessment of treatment response or disease progression. However, measurements of quantitative biom…
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun +3
Deep learning based medical image classifiers have shown remarkable prowess in various application areas like ophthalmology, dermatology, pathology, and radiology. However, the acc…
Total Variation Regularisation in Measurement and Image space for PET reconstruction
Martin Burger, Jahn Müller, Evangelos Papoutsellis +1
The aim of this paper is to test and analyze a novel technique for image reconstruction in positron emission tomography, which is based on (total variation) regularization on both…