Emmanuelle Salin | MaD Lab

Dr. Emmanuelle Salin, Ph.D.

PostDoc and Group Leader

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Carl-Thiersch-Str. 2b
91052 Erlangen

Email: emmanuelle.salin@fau.de

since 06/2024	PostDoc and Group Leader Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
2020 – 2023	Ph.D. in Multimodal Vision Language Machine Learning, Aix Marseille University, France. Supervisors: Benoit Favre and Stephane Ayache
2016 – 2020	Master of Engineering at CentraleSupélec, Paris Saclay University, France
2020 (6 months)	R&D Intern in the Data Science team at Dassault Systèmes, Vélizy-Villacoublay, France
2019 (6 months)	R&D Intern at Xbrain, Menlo Park, USA

Center for AI in Medicine

(Own Funds)

Term: since 1. May 2024

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2025

Merzhevich T., Tanzanakis A., Salin E., Quiering C., Kurz C., Gmeiner B., Eskofier B.:
Machine Learning Predictions of Overall and Progression-Free Survival in Advanced Breast Cancer
23rd International Conference on Artificial Intelligence in Medicine, AIME 2025 (Pavia, 23. June 2025 - 26. June 2025)
In: Riccardo Bellazzi, José Manuel Juarez Herrero, Lucia Sacchi, Blaž Zupan (ed.): Artificial Intelligence in Medicine. 23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part II, Cham: 2025
DOI: 10.1007/978-3-031-95841-0_50
BibTeX: Download
Salehihafshejani F., Salin E., Smarr B., Bayat S., Kleyer A., Schett G., Fritsch-Stork R., Eskofier B.:
A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs
In: Scientific Reports 15 (2025), Article No.: 23960
ISSN: 2045-2322
DOI: 10.1038/s41598-025-09975-z
BibTeX: Download

2023

Salin E., Ayache S., Favre B.:
Towards an Exhaustive Evaluation of Vision-Language Foundation Models
2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 (Paris, 2. October 2023 - 6. October 2023)
In: Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 2023
DOI: 10.1109/ICCVW60793.2023.00041
BibTeX: Download

2022

Nikolaus M., Salin E., Ayache S., Fourtassi A., Favre B.:
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
2022 Conference on Empirical Methods in Natural Language Processing (Abu Dhabi, 7. December 2022 - 11. December 2022)
In: Yoav Goldberg, Zornitsa Kozareva, Yue Zhang (ed.): Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi: 2022
DOI: 10.18653/v1/2022.emnlp-main.100
BibTeX: Download
Salin E., Farah B., Ayache S., Favre B.:
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective
In: Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022), p. 11248-11257
ISSN: 2374-3468
DOI: 10.1609/aaai.v36i10.21375
BibTeX: Download

Arijana Bohr, Emmanuelle Salin: DigiLut Challenge (2nd place) (Health Data Hub) – 2024

Machine Learing for Time Series WS 24/25

Year	Student	Title
2024/25	Ludwig Roggenkamp	Synthetic data for clinical machine learning (Master’s Thesis)
2024/25	Michelle Kosminski	Semantic annotation, topic, and similarity analysis of a large corpus of clinical documentation forms (Master’s Thesis)
2024/25	Ziheng Dai	Differential analysis of multi-modal omics data from IBD mouse models (Project collaboration with Prof. Dr. David Blumenthal- Project Biomedical Network Science)
2024/25	Haiting Huang	Comparing Performance and Transparency of Multimodal Foundation Models in Healthcare (Master’s Thesis)
2024/25	Kai Zhao	Automated Pose Estimation of Mice Paws (Master’s Thesis)
2024/25	Mohsin Moiz Ali	Automated Tracking and Action Recognition for Mice (Master’s Thesis)