Artificial Intelligence in Medicine
The AI in Medicine group is dedicated to advancing interdisciplinary research at the intersection of machine learning and clinical medicine. Through the Center for AI in Medicine, we are establishing collaborations with partners at University Hospital Erlangen and beyond, to tackle real-world medical challenges.
Our focus is on building state-of-the-art machine learning methods that can be integrated into clinical practice to make a tangible impact on medical practice and research. Current projects include disease diagnosis, patient state classification, and patient monitoring.
A key area of our research explores how recent breakthroughs in large language models (LLMs) and transformer-based medical foundation models can improve performance in complex medical tasks, especially in scenarios with limited clinical data. Our work spans a wide range of data types, including tabular data, biosignals, medical and biomedical images, and multimodal datasets. We aim to implement concrete AI-based solutions for clinical environments.
If you have any inquiries or questions, please contact mad-caim@fau.de.
Group Head
Group Members
Students
If you are interested in writing a Bachelor’s or Master’s thesis in our group, please check the lab’s Student Theses and Jobs.
Projects
2024
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How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
International Joint Conference on Neural Networks (IJCNN) (Yokohama, 30. June 2024 - 5. July 2024)
DOI: 10.1109/IJCNN60899.2024.10650421
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10650421
BibTeX: Download
2023
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Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks
2023 International Joint Conference on Neural Networks (IJCNN) (Gold Coast, Australia, 18. June 2023 - 23. June 2023)
In: Proc. Intl. Joint Conf. Neural Netw. (IJCNN) 2023
DOI: 10.1109/IJCNN54540.2023.10191724
BibTeX: Download - , , , , , , , , :
Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 (Sydney, NSW, 24. July 2023 - 27. July 2023)
In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023
DOI: 10.1109/EMBC40787.2023.10340336
BibTeX: Download - , , , :
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
Thirty-seventh Annual Conference on Neural Information Processing Systems (New Orleans, 10. December 2023 - 16. December 2023)
In: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine (ed.): Advances in Neural Information Processing Systems 36 2023
Open Access: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
URL: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
BibTeX: Download - , , :
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
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In Vivo Skin-Type Classification Using Millimeter-Wave Near-Field Probe Spectroscopy
2022 52nd European Microwave Conference (Milan, 27. September 2022 - 29. September 2022)
In: Institute of Electrical and Electronics Engineers (IEEE) (ed.): 2022 52nd European Microwave Conference, Milan: 2022
DOI: 10.23919/EuMC54642.2022.9924376
BibTeX: Download - , , , , :
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 - , , , :
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
2021
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Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning
International Conference on Indoor Positioning and Indoor Navigation (IPIN2021) (Lloret de Mar, 29. November 2021 - 2. December 2021)
In: Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021) 2021
DOI: 10.1109/IPIN51156.2021.9662545
BibTeX: Download