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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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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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) & Wurzer, T. (CoI)
1/03/25 → 29/02/28
Project: Funded research
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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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SPARCMAT: „SPARCling Matrix“ - die zentrale Rolle des Matrixproteins SPARC für die Sehnenphysiologie und Heilung
Gadermayr, M. (PI) & Löwenstein, K. (CoI)
1/10/22 → 30/09/25
Project: Funded research
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CIRCUIT: Towards Comprehensive CBCT Imaging Pipelines for Real-time Acquisition, Analysis, Interaction and Visualization
Tatzgern, M. (PI), Gadermayr, M. (CoPI), Tschuchnig, M. E. (CoI) & Plümer, J. (CoI)
1/05/22 → 30/04/25
Project: Funded research
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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
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Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
Tschuchnig, M. E., Lamminger, L., Steininger, P. & Gadermayr, M., 2025, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
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Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
Tschuchnig, M. E., Gadermayr, M. & DJEMAL, K., 26 Jul 2025, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
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Improving Segmentation by Combining Preoperative CT and Intraoperative CBCT using Synthetic Data
Tschuchnig, M. E., Steininger, P. & Gadermayr, M., 2 Mar 2025.Research output: Contribution to conference › Paper › peer-review
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Leveraging crude extracts from European tree bark to combat oxidative stress, enhance wound healing, and inhibit pathogenic bacterial growth
Häsler Gunnarsdottir, S., Rehrl, J., Sepperer, T., Haretzmüller, L., Sesink, D., Löwenstein, K., Gadermayr, M., Hölzl, C., Stelzhammer, B., Himmelsbach, M., Oostingh, G. J., Schnabel, T. & Schuster, A., 1 Jul 2025, In: Scientific Reports. 15, 21340.Research output: Contribution to journal › Article › peer-review
Open Access