Projects per year
Personal profile
Research interests
Computer Vision, Medical Image Analysis, Machine Learning, Deep Learning, 3D Image Analysis, Point Cloud Processing
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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Dive into the research topics where Michael Gadermayr is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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SP-AI: Trustworthy Spatial AI
Gadermayr, M. (PI), Löwenstein, K. (CoI) & Portenkirchner, R. (CoI)
1/09/25 → 30/08/28
Project: Funded research
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REVELATION: Artificial Intelligence driven Biomedical Imaging Innovation
Oostingh, G. J. (PI), Gadermayr, M. (CoI), Wegenkittl, S. (CoI), Kwitt, R. (CoI), Uhl, A. (CoPI), Wessler, S. (CoI), Meisner-Kober, N. (CoI), Schuster, A. (CoI) & Gahleitner, B. (CoI)
1/03/25 → 29/02/28
Project: Funded research
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Trampoline IT 24/25: Trampoline IT 24/25
Eibl, G. (PI), Gadermayr, M. (PI), Kirchgasser, S. (CoI), Radovanovic, D. (CoI), Schirl, M. J. (CoI), Langthaler, O. (CoI) & Kaltner-Pomwenger, W. (CoI)
1/09/24 → 31/08/25
Project: Research funding pot
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AIBIA: Research and Transfer Junior Lab on AI in Biomedical Image Analysis
Wegenkittl, S. (CoPI), Gadermayr, M. (PI) & Löwenstein, K. (CoI)
1/04/23 → 31/03/26
Project: Funded research
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SCC: Salzburg Collaborative Computing
Gadermayr, M. (PI) & Engel, D. (CoPI)
1/01/23 → 31/12/24
Project: Funded research
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BEYOND INCREASING COMPLEXITY: A SYSTEMATIC ANALYSIS OF UNET DESIGN CHOICES IN A PAIRED VIRTUAL STAINING SETTING
Bahe, M. & Gadermayr, M., 2026, (Accepted/In press). 6 p.Research output: Contribution to conference › Paper › peer-review
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Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
Tschuchnig, M. E. & Gadermayr, M., 2026.Research output: Contribution to conference › Paper › peer-review
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Towards objective In-Vitro wound healing assessment with segment anything: A large evaluation of interactive and automated pipelines
Löwenstein, K., Rehrl, J., Schuster, A. & Gadermayr, M., Jun 2026, In: Computer Methods and Programs in Biomedicine Update.Research output: Contribution to journal › Article › peer-review
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Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning?
Gadermayr, M., Oostingh, G. J., Tschuchnig, M. E. & Stangassinger, L. M., 2026, Proceedings of the International Conference on Computer-Based Medical Systems (CBMS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Do we need Complex Deep Learning Models for Inferring Body Weight from CT Scans? Initial Insights from an Exploratory Study
Gadermayr, M. & Löwenstein, K., 2025, Proceedings of the International Data Science Conference (IDSC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review