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

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)

Verstehen was Ärzte schreiben: Kann KI die Datenflut in der Medizin bändigen? - Benedikt Kämpgen; Philipp Sodmann; Máté E. Maros; Andreas Klüter (Künstliche Intelligenz im Gesundheitswesen, 2022)

Deep Learning using temporal information for automatic polyp detection. - Adrian Krenzer; Philipp Sodmann; Nico Hasler; Frank Puppe (EndoCV@ISBI, 2022)