Projects per year
Organisation profile
Organisation profile
The Applied Data Science Lab (ADSLab) focuses on applications of machine learning to questions in the fields of medicine, Industry 4.0, digitalization, bioinformatics, and language processing.
Research Focus
Starting from precise mathematical models of the data, the Applied Data Science Lab (ADSLab) utilizes not only classical methods but also new approaches in deep learning. The goal is to develop applications that harness the knowledge represented in the data to make decisions, make predictions, or discover new structures. The entire processing chain is covered, from data acquisition to application usage. This research area intersects with almost all degree programs in the department, particularly the joint master's program in Joint Masterstudiengang Applied Image and Signal Processing with the University of Salzburg.
The ADSLab has conducted numerous research projects in recent years and maintains a close collaboration with the University of Salzburg, especially through its involvement in the IDALab.
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. Our work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Applied Data Science Lab is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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
Profiles
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Michael Gadermayr
- Information Technologies and Digitalisation - Head of Research Group
- Applied Data Science Lab
- Data Science & Analytics - Senior Lecturer
Person: Academic, Lecturer
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Katja Löwenstein
- Information Technologies and Digitalisation - Junior Researcher
- Applied Data Science Lab
Person: Academic
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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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Delfin: Project resource planning with AI
Haber, P. (PI), Mayr, M. (CoPI), Reich, E. S. (CoI) & Tschuchnig, M. E. (CoI)
1/12/22 → 29/02/24
Project: Contract research
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DaSuMa: Data-Driven Supply Chain Management
Ferner, C. (CoI), Kaltner-Pomwenger, W. (CoPI), Portenkirchner, R. (CoI), Uray, M. (CoI) & Wegenkittl, S. (PI)
1/03/22 → 31/12/23
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
Activities
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Université Paris Cité
Tschuchnig, M. E. (Visiting researcher)
10 Jun 2025Activity: Visiting an external institution › Visiting an external academic institution
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Université d'Évry Val-d'Essonne
Tschuchnig, M. E. (Visiting researcher)
5 May 2025 → 9 May 2025Activity: Visiting an external institution › Visiting an external academic institution
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German Conference on Medical Image Computing
Tschuchnig, M. E. (Participant)
15 Mar 2025 → 17 Mar 2025Activity: Participating in or organising an event › Participating in a conference, workshop, ...
Prizes
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Stipendium für kurzfristige fachspezifische Kurse im Ausland
Tschuchnig, M. E. (Recipient), 2024
Prize