Robust Detection of Heart Beats using Dynamic Thresholds and Moving Windows. - Marcus Vollmer (CinC, 2014)

A Robust, Simple and Reliable Measure of Heart Rate Variability using Relative RR Intervals. - Marcus Vollmer (CinC, 2015)

Noise Resistance of Several Top-Scored Heart Beat Detectors. - Marcus Vollmer (CinC, 2017)

Arrhythmia Classification in Long-Term Data Using Relative RR Intervals. - Marcus Vollmer (CinC, 2017)

Can Supervised Learning Be Used to Classify Cardiac Rhythms?. - Marcus Vollmer; Philipp Sodmann; Leonard Caanitz; Neetika Nath; Lars Kaderali (CinC, 2017)

Rapid Detection of Heart Rate Fragmentation and Cardiac Arrhythmias: Cycle-by-Cycle rr Analysis, Supervised Machine Learning Model and Novel Insights. - Ananya Rajagopalan; Marcus Vollmer (AIME, 2019)

HRVTool - an Open-Source Matlab Toolbox for Analyzing Heart Rate Variability. - Marcus Vollmer (CinC, 2019)

Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts. - Marcus Vollmer; Dominic Bläsing; Lars Kaderali (CinC, 2019)

Time-Specific Metalearners for the Early Prediction of Sepsis. - Marcus Vollmer; Christian F. Luz; Philipp Sodmann; Bhanu Sinha; Sven-Olaf Kuhn (CinC, 2019)

ECG Segmentation Using a Neural Network as the Basis for Detection of Cardiac Pathologies. - Philipp Sodmann; Marcus Vollmer (CinC, 2020)

Segment, Perceive and Classify - Multitask Learning of the Electrocardiogram in a Single Neural Network. - Philipp Sodmann; Marcus Vollmer; Lars Kaderali (CinC, 2021)

Efficiency of Different Heartbeat Detection Methods by Using Alternative Noise Reduction Algorithms. - Marcus Vollmer; Jader Alexander Giraldo Guzmán (CinC, 2022)

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)