Mohammad Moulaeifard

According to our database, Mohammad Moulaeifard authored at least 8 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Uncertainty Reliability Under Domain Shift: An Investigation for Data-Driven Blood Pressure Estimation in Photoplethysmography.

Mohammad Moulaeifard, Ciaran Bench, Philip J. Aston, Nils Strodthoff

CoRR, May, 2026

Benchmark Problems and Benchmark Datasets for the evaluation of Machine and Deep Learning methods on Photoplethysmography signals: the D4 report from the QUMPHY project.

Urs Hackstein, Jordi Alastruey, Philip J. Aston, Ciaran Bench, Peter H. Charlton, Loic Coquelin, Nando Hegemann, Vaidotas Marozas, Mohammad Moulaeifard, Manasi Nandi, Andrius Petrenas, Oskar Pfeffer, Mantas Rinkevicius, Andrius Solosenko, Nils Strodthoff, Sara Vardanega

CoRR, April, 2026

Deriving Health Metrics from the Photoplethysmogram: Benchmarks and Insights from MIMIC-III-Ext-PPG.

Mohammad Moulaeifard, Philip J. Aston, Peter H. Charlton, Nils Strodthoff

CoRR, March, 2026

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches.

Mohammad Moulaeifard, Loic Coquelin, Mantas Rinkevicius, Andrius Solosenko, Oskar Pfeffer, Ciaran Bench, Nando Hegemann, Sara Vardanega, Manasi Nandi, Jordi Alastruey, Christian Heiss, Vaidotas Marozas, Andrew Thompson, Philip J. Aston, Peter H. Charlton, Nils Strodthoff

Biomed. Signal Process. Control., 2026

2025

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis.

Ciaran Bench, Oskar Pfeffer, Vivek Desai, Mohammad Moulaeifard, Loic Coquelin, Peter H. Charlton, Nils Strodthoff, Nando Hegemann, Philip J. Aston, Andrew Thompson

CoRR, November, 2025

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks.

Ciaran Bench, Vivek Desai, Mohammad Moulaeifard, Nils Strodthoff, Philip J. Aston, Andrew Thompson

CoRR, May, 2025

Generalizable deep learning for photoplethysmography-based blood pressure estimation - A Benchmarking Study.

Mohammad Moulaeifard, Peter H. Charlton, Nils Strodthoff

CoRR, February, 2025

Leveraging Bounding Box Annotations and Boolean Map Saliency for Traffic Light Detection in Foggy Night.

Nadra Tabassam, Mohammad Moulaeifard, Martin Fränzle, Sven Fleck

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025