Philipp Sodmann

According to our database, Philipp Sodmann authored at least 6 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Deep Learning using temporal information for automatic polyp detection.

Adrian Krenzer, Philipp Sodmann, Nico Hasler, Frank Puppe

Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022

Verstehen was Ärzte schreiben: Kann KI die Datenflut in der Medizin bändigen?

Benedikt Kämpgen, Philipp Sodmann, Máté E. Maros, Andreas Klüter

Proceedings of the Künstliche Intelligenz im Gesundheitswesen: Entwicklungen, 2022

2021

Segment, Perceive and Classify - Multitask Learning of the Electrocardiogram in a Single Neural Network.

Philipp Sodmann, Marcus Vollmer, Lars Kaderali

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

ECG Segmentation Using a Neural Network as the Basis for Detection of Cardiac Pathologies.

Philipp Sodmann, Marcus Vollmer

Proceedings of the Computing in Cardiology, 2020

2019

Time-Specific Metalearners for the Early Prediction of Sepsis.

Marcus Vollmer, Christian F. Luz, Philipp Sodmann, Bhanu Sinha, Sven-Olaf Kuhn

Proceedings of the 46th Computing in Cardiology, 2019

2017

Can Supervised Learning Be Used to Classify Cardiac Rhythms?.

Marcus Vollmer, Philipp Sodmann, Leonard Caanitz, Neetika Nath, Lars Kaderali

Proceedings of the Computing in Cardiology, 2017