Cardiac activity measurement from video signals of the human skin in ultrahigh-field magnetic resonance imaging. - Nicolai Spicher (GI-Jahrestagung, 2016)

Feasibility of Photoplethysmography Imaging of the Sole of the Foot. - Nicolai Spicher; Tyler Lovelace; Markus Kukuk (MeMeA, 2018)

ECG delineation using a piecewise Gaussian derivative model with parameters estimated from scale-dependent algebraic expressions. - Nicolai Spicher; Markus Kukuk (EMBC, 2019)

Parameter Estimation Based on Scale-Dependent Algebraic Expressions and Scale-Space Fitting. - Markus Kukuk; Nicolai Spicher (IEEE Trans. Signal Process., 2019)

Delineation of Electrocardiograms Using Multiscale Parameter Estimation. - Nicolai Spicher; Markus Kukuk (IEEE J. Biomed. Health Informatics, 2020)

Time-frequency analysis of optical and electrical cardiac signals with applications in ultra-high-field MRI - Nicolai Spicher (2020)

ECG Delineation using Multiscale Parameter Estimation. - Nicolai Spicher; Markus Kukuk (IEEE DataPort, 2020)

Abstract: Multi-camera, Multi-person, and Real-time Fall Detection using Long Short Term Memory. - Christian Heinrich; Samad Koita; Mohammad Taufeeque; Nicolai Spicher; Thomas M. Deserno (Bildverarbeitung für die Medizin, 2021)

Edge computing in 5G cellular networks for real-time analysis of electrocardiography recorded with wearable textile sensors. - Nicolai Spicher; Arne Klingenberg; Valentin Purrucker; Thomas M. Deserno (EMBC, 2021)

Feasibility Analysis of Fifth-generation (5G) Mobile Networks for Transmission of Medical Imaging Data. - Nicolai Spicher; Michael Schweins; Lennart Thielecke; Thomas Kürner; Thomas M. Deserno (EMBC, 2021)

Sensor Fusion for Robust Heartbeat Detection during Driving. - Joana M. Warnecke; Nicolai Boeker; Nicolai Spicher; Ju Wang 002; Maximilian Flormann; Thomas M. Deserno (EMBC, 2021)

An Accurate and Efficient Zero-Crossing Line Classifier for Multiscale Parameter Estimation of Gaussian Signals Subject to Noise. - Robin Leeker; Nicolai Spicher; Markus Kukuk (ISPA, 2021)

Zuckerwatte (zcwt): An open-source C++ library for standardizing computation and post-processing of the continuous wavelet transform. - Nicolai Spicher; Markus Kukuk (ISPA, 2021)

SHACL-Based Report Quality Evaluation for Health IT-Induced Medication Errors. - Daniel Keuchel; Nicolai Spicher; Ju Wang 002; Michael Völcker; Yang Gong; Thomas M. Deserno (MedInfo, 2021)

Automatic Detection of Metadata Errors in a Registry of Clinical Studies Using Shapes Constraint Language (SHACL) Graphs. - Daniel Keuchel; Nicolai Spicher (MIE, 2021)

Unobtrusive Health Monitoring in Private Spaces: The Smart Home. - Ju Wang 002; Nicolai Spicher; Joana M. Warnecke; Mostafa Haghi 001; Jonas Schwartze; Thomas M. Deserno (Sensors, 2021)

Abstract: Face Detection From In-car Video for Continuous Health Monitoring. - Vinothini Selvaraju; Nicolai Spicher; Ramakrishnan Swaminathan; Thomas M. Deserno (Bildverarbeitung für die Medizin, 2022)

An LSTM-based Listener for Early Detection of Heart Disease. - Philip Gemke; Nicolai Spicher; Tim Kacprowski (CinC, 2022)

Human activity recognition from textile electrocardiograms. - Arne Klingenberg; Valentin Purrucker; Willi Schüler; Nagarajan Ganapathy; Nicolai Spicher; Thomas M. Deserno (EMBC, 2022)

Unobtrusive Heart Rate Monitoring using Near-Infrared Imaging During Driving. - Vinothini Selvaraju; Nicolai Spicher; Ramakrishnan Swaminathan; Thomas M. Deserno (EMBC, 2022)

Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review. - Vinothini Selvaraju; Nicolai Spicher; Ju Wang 002; Nagarajan Ganapathy; Joana M. Warnecke; Steffen Leonhardt; Ramakrishnan Swaminathan; Thomas M. Deserno (Sensors, 2022)

Integrated Sensing Devices for Disease Prevention and Health Alerts in Smart Homes. - Mostafa Haghi 001; Nicolai Spicher; Ju Wang 002; Thomas M. Deserno (Accident and Emergency Informatics, 2022)

Quantifying Alterations Over Time in ST-Segment/T-Wave Amplitudes During Elective Percutaneous Coronary Intervention. - Philip Hempel; Theresa Bender; Ennio Idrobo-Ávila; Henning Dathe; Dagmar Krefting; Tim Kacprowski; Nicolai Spicher (CinC, 2023)

Fusion of Features with Neural Networks for Prediction of Secondary Neurological Outcome After Cardiac Arrest. - Philip Hempel; Philip Zaschke; Miriam Goldammer; Nicolai Spicher (CinC, 2023)

Quo Vadis? - Comprehensive Viewpoint on German Educational Research in Engineering. - Jorge Torres Gómez; Nicolai Spicher; Jan Haase 001 (EDUCON, 2023)

Assessment of Driver's Stress using Multimodal Biosignals and Regularized Deep Kernel Learning. - Vishal Singh Roha; Nagarajan Ganapathy; Nicolai Spicher; Sriparna Saha 001; Thomas M. Deserno (EMBC, 2023)

Introducing Social Gamification to a Biomedical Signal Processing Course: A Case Study. - Theresa Bender; Dagmar Krefting; Christoph Jensen; Nicolai Spicher (GECon, 2023)

Message from the organizing committee. - Jan Haase 001; Jorge Tomes Gomez; Nicolai Spicher; Andreas Apostolatos; Shaun Kaplan; Claudia-Melania Chituc (GECon, 2023)

Reusing Biomedical Data as Agreed - Towards Structured Metadata for Data Use Agreements. - Caroline Bönisch; Sabine Hanß; Nicolai Spicher; Ulrich Sax; Dagmar Krefting (GMDS, 2023)

Benchmarking the Impact of Noise on Deep Learning-Based Classification of Atrial Fibrillation in 12-Lead ECG. - Theresa Bender; Philip Gemke; Ennio Idrobo-Ávila; Henning Dathe; Dagmar Krefting; Nicolai Spicher (MIE, 2023)

Fine-tuned Circuit Representation of Human Vessels through Reinforcement Learning: A Novel Digital Twin Approach for Hemodynamics. - Jorge Torres Gómez; Nicolai Spicher; Jorge Luis González Rios; Falko Dressler (NANOCOM, 2023)

Published Contributions in Education from German Researchers in IEEEXplore (2019-2020). - Jorge Torres Gómez; Nicolai Spicher; Jan Haase 001 (IEEE DataPort, 2023)

Secure HPC: A workflow providing a secure partition on an HPC system. - Hendrik Nolte; Nicolai Spicher; Andrew Russel; Tim Ehlers; Sebastian Krey; Dagmar Krefting; Julian Kunkel (Future Gener. Comput. Syst., 2023)

Effective Synergies at Technical Universities to Actively Promote STEM at K-12 Schools. - Jorge Torres Gómez; Nicolai Spicher; Jan Haase 001 (EDUCON, 2024)

Benchmarking open-source algorithms for QRS detection and RRI editing in textile electrocardiography. - Kana Eguchi; Asmus Barth; Nicolai Spicher (EMBC, 2024)

Enhancing explainability in ECG analysis through evidence-based AI interpretability. - Philip Hempel; Theresa Bender; Nicolai Spicher (EMBC, 2024)

Explainable Artificial Intelligence on Biosignals for Clinical Decision Support. - Miriam Cindy Maurer; Jacqueline Michelle Metsch; Philip Hempel; Theresa Bender; Nicolai Spicher; Anne-Christin Hauschild (KDD, 2024)

Interoperable Integration of Automatic ECG Processing Using DICOMweb and the AcuWave Software Suite. - Lennart Graf; Dagmar Krefting; Tibor Kesztyüs; Maximilian J. Oremek; Sven Zenker; Nicolai Spicher (MIE, 2024)

Quality of Electrocardiography Recorded with Consumer Smart Shirts. - Paulo Haas; Nicolai Spicher; Joana M. Warnecke; Thomas M. Deserno (MIE, 2024)

TDSpy: An open-source implementation of time delay stability analysis. - Tabea F. A. Steinbrinker; Dagmar Krefting; Ronny P. Bartsch; Jan W. Kantelhardt; Nicolai Spicher (SoftwareX, 2024)

Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. - Theresa Bender; Jacqueline Michelle Beinecke; Dagmar Krefting; Carolin Müller; Henning Dathe; Tim Seidler; Nicolai Spicher; Anne-Christin Hauschild (IEEE J. Biomed. Health Informatics, 2024)

Work in Progress: Bridging University Technical Innovations to K-12 Classrooms Through Hands-on Activities in Plant Bioelectrics and AI. - Jorge Torres Gómez; Imen Bekkari; Nicolai Spicher; Carmen Peláez-Moreno; Jan Haase 001; Maurizio Magarini (EDUCON, 2025)

Age estimation for disorder characterization from pediatric polysomnograms. - Sven Festag; Sebastian Herberger; Cord Spreckelsen; Dagmar Krefting; Ingo Fietze; Thomas Penzel; Peter B. Marschik; Nicolai Spicher (Biomed. Signal Process. Control., 2025)

Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study. - Philip Hempel; Antônio H. Ribeiro; Marcus Vollmer; Theresa Bender; Marcus Dörr; Dagmar Krefting; Nicolai Spicher (npj Digit. Medicine, 2025)