Maurice Rohr

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Atrial Fibrillation

Catheter Ablation

Top Venues

Sensors (Basel, Switzerland)

PLOS digital health

Physiological measurement

This page only lists publications with an associated author ORCID identifier.

Publications

Maurice Rohr, Benedikt Müller, Sebastian Dill, Gökhan Güney, Christoph Hoog Antink
Multiple instance learning framework can facilitate explainability in murmur detection. PLOS digital health 3 (3) (2024)
Maurice Rohr, Benedikt Müller, Sebastian Dill, Gökhan Güney, Christoph Hoog Antink
Multiple instance learning framework can facilitate explainability in murmur detection. PLOS digital health 3 (3) (2024)
Ingo Hoyer, Alexander Utz, André Lüdecke, Holger Kappert, Maurice Rohr, Christoph Hoog Antink, Karsten Seidl
Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V. Sensors (Basel, Switzerland) 23 (5) (2023)
Ingo Hoyer, Alexander Utz, André Lüdecke, Holger Kappert, Maurice Rohr, Christoph Hoog Antink, Karsten Seidl
Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V. Sensors (Basel, Switzerland) 23 (5) (2023)
Christoph Hoog Antink, Romina Schulz, Maurice Rohr, Konstantin Wenzel, Lars Liebermeister, Robert Kohlhaas, Sascha Preu
Estimating Thoracic Movement with High-Sampling Rate THz Technology. Sensors (Basel, Switzerland) 23 (11) (2023)
Ingo Hoyer, Alexander Utz, André Lüdecke, Holger Kappert, Maurice Rohr, Christoph Hoog Antink, Karsten Seidl
Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V. Sensors (Basel, Switzerland) 23 (5) (2023)
Maurice Rohr, Christoph Reich, Andreas Höhl, Timm Lilienthal, Tizian Dege, Filip Plesinger, Veronika Bulkova, Gari D Clifford, Matthew A Reyna, Christoph Hoog Antink
Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning. Physiological measurement 43 (7) (2022)