997 citations
- Humboldt-Universität zu BerlinDE49 papers
- Freie Universität BerlinDE25 papers
- Technische Universität BerlinDE19 papers
- Berlin Institute of Health at Charité - Universitätsmedizin BerlinDE17 papers
- Bernstein Center for Computational Neuroscience BerlinDE17 papers
- Physikalisch-Technische BundesanstaltDE13 papers
- Technical University of MunichDE12 papers
- University of PotsdamDE11 papers
- Imperial College LondonGB10 papers
- Heidelberg UniversityDE8 papers
- King's College LondonGB8 papers
- Einstein Center for Neurosciences BerlinDE7 papers
156 papers
Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14
Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unc…
Avatar Appearance Beyond Pixels -- User Ratings and Avatar Preferences within Health Applications
Navid Ashrafi, Philipp Graf, Manuela Marquardt +3
The appearance of a virtual avatar significantly influences its perceived appropriateness and the user's experience, particularly in healthcare applications. This study analyzed in…
Mitigating Clever Hans Strategies in Image Classifiers through Generating Counterexamples
Sidney Bender, Ole Delzer, Jan Herrmann +3
Deep learning models remain vulnerable to spurious correlations, leading to so-called Clever Hans predictors that undermine robustness even in large-scale foundation and self-super…
Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals
Tiezhi Wang, Wilhelm Haverkamp, Nils Strodthoff
Objective. Arrhythmia classification from electrocardiograms (ECGs) suffers from high false positive rates and limited cross-dataset generalization, particularly for atrial fibrill…
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless +22
Prognostic information is essential for decision-making in breast cancer management. Recently trials have predominantly focused on genomic prognostication tools, even though clinic…
Characterizing Timing Parameters in Commercial SERF-OPM Multichannel Systems for Biomagnetic Field Sensing
Eric Elzenheimer, Hartmut Matz, Jan Zerfowski +6
Spin-Exchange Relaxation-Free Optically Pumped Magnetometers (SERF-OPMs) are increasingly used in multichannel biomagnetic sensing, yet their timing performance remains poorly char…