Scholar
Marie Piraud
Google Scholar ID: ZkjrjFMAAAAJ
Helmholtz AI, Helmoltz Zentrum München
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Citations & Impact
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Citations
6,734
H-index
23
i10-index
45
Publications
20
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0
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Publications
5 items
Leveraging Multi-Rater Annotations to Calibrate Object Detectors in Microscopy Imaging
2026
Cited
0
Preserving instance continuity and length in segmentation through connectivity-aware loss computation
2025
Cited
0
Forest-Guided Clustering -- Shedding Light into the Random Forest Black Box
2025
Cited
0
OneProt: Towards Multi-Modal Protein Foundation Models
arXiv.org · 2024
Cited
1
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
Machine Learning for Biomedical Imaging · 2024
Cited
3
Resume (English only)
Research Experience
Head of the AI Consultant Team at Helmholtz AI, Helmholtz Munich
Guest researcher at the Technical University of Munich, Chair for Computer Aided Medical Procedures & Augmented Reality
Pioneering new academic research models by empowering Helmholtz Association health researchers with AI
Develops tailored machine learning solutions to extract insights from collaborators’ data or streamline workflows
Translates solutions into open-source software and provides postgraduate training to democratize AI in research
Integrates ethical and ecological considerations into AI development to address societal impact
Background
Trained as a theoretical physicist with a strong interest in interdisciplinary research
Fascinated by complex and multi-scale systems, studied through analytical and numerical models alongside experimental observations
Initially worked on complex quantum systems; now applying those concepts to biological and biomedical problems
Aims to bridge small-scale biophysical models with medical observations at individual or population levels
Uses statistical inference and develops hybrid methods combining model-based approaches with data-driven machine learning
Believes integrating domain knowledge with AI techniques is a promising path toward better predictions
Personally concerned with the CO₂ footprint and ecological impact of AI algorithms
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Co-authors: 0 (list not available)
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