228 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Essen University HospitalDE6 papers
- Institut für Medizinische Informatik, Biometrie und EpidemiologieDE6 papers
- TU Dortmund UniversityDE4 papers
- Artificial Intelligence in Medicine (Canada)CA2 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Consejo Superior de Investigaciones CientíficasES2 papers
- Instituto de Instrumentación para Imagen MolecularES2 papers
- Leiden University Medical CenterNL2 papers
- Manchester Metropolitan UniversityGB2 papers
- Massachusetts General HospitalUS2 papers
- Universitat de ValènciaES2 papers
- Universitat Politècnica de ValènciaES2 papers
18 papers
Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification
Martin Sondermann, Pinar Bisgin, Niklas Tschorn +2
The automated classification of phonocardiogram (PCG) recordings represents a substantial advancement in cardiovascular diagnostics. This paper presents a systematic comparison of…
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…
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…
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…
Characterisation and simulation of stitched CMOS strip sensors
Naomi Davis, Jan-Hendrik Arling, Marta Baselga +20
In high-energy physics, there is a need to investigate alternative silicon sensor concepts that offer cost-efficient, large-area coverage. Sensors based on CMOS imaging technology…
A high frequency radiation hardened DC/DC-converter with low volume air core inductor
Jeremias Kampkötter, Michael Karagounis, Rainer Kokozinski
The hfrh-buck (high frequency radiation hardened-buck) is a radiation hardened DC/DC-converter operating at a high switching frequency of 100MHz with a small air core inductor of 2…
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…
STRV -- A radiation hard RISC-V microprocessor for high-energy physics applications
Alexander Walsemann, Michael Karagounis, Alexander Stanitzki +1
While microprocessors are used in various applications, they are precluded from the use in high-energy physics applications due to the harsh radiation present. To overcome this lim…
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…
System Integration of ATLAS ITK Pixel DCS ASICs
A. Qamesh, R. Ahmad, D. Ecker +7
During the ATLAS phase II upgrade, the tracking system of the ATLAS experiment will be replaced by an all-silicon detector called the inner tracker (ITK) with a pixel detector as t…
MaRCoS, an open-source electronic control system for low-field MRI
Vlad Negnevitsky, Yolanda Vives-Gilabert, José M. Algarín +7
Every magnetic resonance imaging (MRI) device requires an electronic control system that handles pulse sequences and signal detection and processing. Here we provide details on the…
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),…
Benchmarking the performance of a low-cost Magnetic Resonance Control System at multiple sites in the open MaRCoS community
T. Guallart-Naval, T. O'Reilly, J. M. Algarín +9
Purpose: To describe the current properties and capabilities of an open-source hardware and software package that is being developed by many sites internationally with the aim of p…
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…
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18
There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
Depression is ranked as the largest contributor to global disability and is also a major reason for suicide. Still, many individuals suffering from forms of depression are not trea…
OpenML: An R Package to Connect to the Machine Learning Platform OpenML
Giuseppe Casalicchio, Jakob Bossek, Michel Lang +6
OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborat…
Optimal designs for multi-response generalized linear models with applications in thermal spraying
Holger Dette, Laura Hoyden, Sonja Kuhnt +1
We consider the problem of designing experiments for investigating particle in-flight properties in thermal spraying. Observations are available on an extensive design for an initi…