182 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CologneDE9 papers
- German Center for Infection ResearchDE3 papers
- Heidelberg UniversityDE3 papers
- Technical University of MunichDE3 papers
- Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated DiseasesDE2 papers
- Klinik und Poliklinik für Psychosomatik und PsychotherapieDE2 papers
- Medical University of ViennaAT2 papers
- National Center for Tumor DiseasesDE2 papers
- Paracelsus Medical UniversityAT2 papers
- Radboud University Medical CenterNL2 papers
- Radboud University NijmegenNL2 papers
- Technische Universität DarmstadtDE2 papers
16 papers
Condensate-mediated shape transformations of cellular membranes by capillary forces
Lukas Hauer, Katharina Sporbeck, Joseph F. McKenna +5
Phase-separated biomolecular condensates with liquid-like properties play a key role in the organization and compartmentalization of the intracellular environment. Condensate-media…
ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy
David Bertram, Anja Ophey, Sinah Röttgen +18
Isolated rapid eye movement sleep behavior disorder (iRBD) is a major prodromal marker of -synucleinopathies, often preceding the clinical onset of Parkinson's disease, dementia…
Explainable Image Classification with Reduced Overconfidence for Tissue Characterisation
Alfie Roddan, Chi Xu, Serine Ajlouni +3
The deployment of Machine Learning models intraoperatively for tissue characterisation can assist decision making and guide safe tumour resections. For image classification models,…
Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma
Lucas Sancéré, Carina Lorenz, Doris Helbig +9
Recent advancements in digital pathology have enabled comprehensive analysis of Whole-Slide Images (WSI) from tissue samples, leveraging high-resolution microscopy and computationa…
SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy
Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon +16
Medical imaging is essential in modern radiotherapy, supporting diagnosis, treatment planning, and monitoring. Synthetic imaging, particularly synthetic computed tomography (sCT),…
Simulated [CII] in high-z galaxies
N. Muñoz-Elgueta, F. Arrigoni Battaia, G. Kauffmann +4
Extended [CII] emission on tens of kpc, also known as a [CII] halo, is being currently reported around z4-6 star-forming galaxies, especially thanks to the statistics of the…
Data Trading and Monetization: Challenges and Open Research Directions
Qusai Ramadan, Zeyd Boukhers, Muath AlShaikh +2
Traditional data monetization approaches face challenges related to data protection and logistics. In response, digital data marketplaces have emerged as intermediaries simplifying…
Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1
Giulia Di Teodoro, Martin Pirkl, Francesca Incardona +6
Motivation: In predicting HIV therapy outcomes, a critical clinical question is whether using historical information can enhance predictive capabilities compared with current or la…
Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
Yannik Frisch, Moritz Fuchs, Antoine Sanner +7
Cataract surgery is a frequently performed procedure that demands automation and advanced assistance systems. However, gathering and annotating data for training such systems is re…
Confirmatory adaptive group sequential designs for clinical trials with multiple time-to-event outcomes in Markov models
Moritz Fabian Danzer, Andreas Faldum, Thorsten Simon +2
The analysis of multiple time-to-event outcomes in a randomised controlled clinical trial can be accomplished with exisiting methods. However, depending on the characteristics of t…
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Todd C. Hollon, Cheng Jiang, Asadur Chowdury +22
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic t…
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…
Federated Stain Normalization for Computational Pathology
Nicolas Wagner, Moritz Fuchs, Yuri Tolkach +1
Although deep federated learning has received much attention in recent years, progress has been made mainly in the context of natural images and barely for computational pathology.…
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography
Roy Schwartz, Hagar Khalid, Sandra Liakopoulos +12
Purpose - To develop and validate a deep learning (DL) framework for the detection and quantification of drusen and reticular pseudodrusen (RPD) on optical coherence tomography sca…
Stochasticity of infectious outbreaks and consequences for optimal interventions
Roberto Morán-Tovar, Henning Gruell, Florian Klein +1
Global strategies to contain a pandemic, such as social distancing and protective measures, are designed to reduce the overall transmission rate between individuals. Despite such m…
Predicting in vivo escape dynamics of HIV-1 from a broadly neutralizing antibody
Matthijs Meijers, Kanika Vanshylla, Henning Gruell +2
Broadly neutralizing antibodies are promising candidates for treatment and prevention of HIV-1 infections. Such antibodies can temporarily suppress viral load in infected individua…