Stefan Jäger

ORCID: 0000-0003-4983-0331
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About
Contact & Profiles
Research Areas
  • Landslides and related hazards
  • Total Knee Arthroplasty Outcomes
  • Orthopaedic implants and arthroplasty
  • Orthopedic Infections and Treatments
  • Geotechnical Engineering and Analysis
  • Advanced Neural Network Applications
  • Knee injuries and reconstruction techniques
  • Flood Risk Assessment and Management
  • Handwritten Text Recognition Techniques
  • Cryospheric studies and observations
  • Video Surveillance and Tracking Methods
  • Seismology and Earthquake Studies
  • UAV Applications and Optimization
  • Industrial Engineering and Technologies
  • Advanced Theoretical and Applied Studies in Material Sciences and Geometry
  • Reservoir Engineering and Simulation Methods
  • Mining and Gasification Technologies
  • Inflammasome and immune disorders
  • Cardiovascular, Neuropeptides, and Oxidative Stress Research
  • Single-cell and spatial transcriptomics
  • Fire effects on ecosystems
  • Remote Sensing and Land Use
  • Vehicle emissions and performance
  • Advanced Image and Video Retrieval Techniques
  • Winter Sports Injuries and Performance

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2023-2024

Koenig & Bauer (Germany)
2023

Heidelberg University
1996-2020

Orthopädische Universitätsklinik
2020

University Hospital Heidelberg
2013-2020

Geomer (Germany)
1999-2020

Universitätsklinikum Gießen und Marburg
2013

Hôpital Nord
2005

Daimler (Germany)
1996-2002

With the increasing availability of live cell imaging technology, tracking cells and other moving objects in videos has become a major challenge for bioimage informatics. An inherent problem most algorithms is over- or under-segmentation - many tend to recognize one as several vice versa.We propose approach this through so-called topological alignments, which we apply address linking segmentations two consecutive frames video sequence. Starting from output conventional segmentation...

10.1186/1748-7188-4-10 article EN cc-by Algorithms for Molecular Biology 2009-07-16

10.1109/icip51287.2024.10647355 article EN 2022 IEEE International Conference on Image Processing (ICIP) 2024-09-27

Off-line handwriting recognition is constrained by the lack of time information. This paper describes an approach to derive sequence information from a written word. The underlying representation word used graph with nodes and edges resulting skeletonization process. writing path reconstructed assuming that writer has least curvature, i.e. reconstruction realized as global optimization process, which consists solving travelling salesman problem.

10.1109/icpr.1996.546812 article EN 1996-01-01

The detection of drones or unmanned aerial vehicles is a crucial component in protecting safety-critical infrastructures and maintaining privacy for individuals organizations. widespread use optical sensors perimeter surveillance has made popular choice data collection the context drone detection. However, efficiently processing obtained sensor poses significant challenge. Even though deep learning-based object models have shown promising results, their effectiveness depends on large amounts...

10.3390/electronics12102197 article EN Electronics 2023-05-11

As a consequence of large landslide in the Tully Valley, Onondaga County, New York, an investigation was undertaken to determine factors responsible for order develop model regional susceptibility. The April 27, 1993 Valley occurred within glacial lake clays overlain by till and colluvium on gentle slopes 9-12 degrees. triggered extreme climatic events prolonged heavy rainfall combined with rapid melting winter snowpack. A photoinventory field checking landslides 415 km2 study area,...

10.3133/ofr94615 article EN Antarctica A Keystone in a Changing World 1994-01-01

Abstract Femoral component loosening is a rare but severe complication in total knee arthroplasty. Former studies have repeatedly demonstrated radiolucent lines behind the ventral and dorsal anchoring shields of femoral components, which has led us to investigate this matter further. Therefore, three different cementing techniques were tested group nine Sawbone samples each. These differed amount cement applied on as well pressure application. Computed tomography was performed evaluate...

10.1055/s-0039-1694795 article EN The Journal of Knee Surgery 2019-08-21

Abstract. This paper proposes a novel approach to facilitate air quality aware decision making and support planning actors take effective measures for improving the in cities regions. Despite many improvements over past decades, pollutants such as particulate matter (PM), nitrogen dioxide (NO2) ground-level ozone (O3) pose still one of major risks human health environment. Based on both general analysis situation regulations EU Germany well an in-depth local management practices requirements...

10.5194/isprs-archives-xliv-4-w2-2020-37-2020 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2020-09-15

The landslide hazard map of the Phewa Lake catchment area is based on empirical evaluation data related to slope instability, obtained through field investigation and various types geo-scientific maps. methodology includes making different base maps factor that contribute instability terrain. Some weighted values are derived for each taken into consideration by statistical analysis. According their significance in failure, numerical assigned factors. GIS technique used integrating all final...

10.3126/jngs.v18i0.32268 article EN Journal of Nepal Geological Society 1998-12-01

The paper proposes a model for tracking handwriting based on curvature minimization. Aiming at recovering stroke sequences from words written in the past, problem is formulated as graph theoretical question. solution does not require mathematical functions. In particular loops are considered elementary basic strokes and approximated with Recovering equivalent to ordering edges of graph, which can be derived straightforward manner scanned binary word image. deal any special recognition...

10.1109/icdar.1997.620555 article EN 2002-11-22

Predominant methods for image-based drone detection frequently rely on employing generic object algorithms like YOLOv5. While proficient in identifying drones against homogeneous backgrounds, these often struggle complex, highly textured environments. In such scenarios, seamlessly integrate into the background, creating camouflage effects that adversely affect quality. To address this issue, we introduce a novel deep learning architecture called YOLO-FEDER FusionNet. Unlike conventional...

10.48550/arxiv.2406.11641 preprint EN arXiv (Cornell University) 2024-06-17
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