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Gerald A. Zwettler
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Journal Articles
- 2021
- [j3]Christoph Praschl
, Andreas Pointner
Imaging framework: An interoperable and extendable connector for image-related Java frameworks. SoftwareX 16: 100863 (2021) - 2020
- [j2]Christoph Praschl
Enabling outdoor MR capabilities for head mounted displays: a case study. Int. J. Simul. Process. Model. 15(6): 512-523 (2020) - [j1]Gerald A. Zwettler, David R. Holmes III, Werner Backfrieder:
Strategies for Training Deep Learning Models in Medical Domains with Small Reference Datasets. J. WSCG 28(1-2): 37-46 (2020)
Conference and Workshop Papers
- 2024
- [c15]Sebastian Pimminger
Towards a User-Centered Design Approach for the Development of Social Assistive Robots in Office Environments. PETRA 2024 - 2023
- [c14]Christoph Praschl, Roland Kaiser, Gerald A. Zwettler:
Generative Adversarial Network Synthesis for Improved Deep Learning Model Training of Alpine Plants with Fuzzy Structures. VISIGRAPP (4: VISAPP) 2023: 151-158 - 2022
- [c13]Christoph Praschl
Segmentation and Multi-facet Classification of Individual Logs in Wooden Piles. EUROCAST 2022: 460-467 - [c12]Christoph Praschl
Three-step Approach for Localization, Instance Segmentation and Multi-facet Classification of Individual Logs in Wooden Piles. ICPRAM 2022: 683-688 - 2021
- [c11]Gerald A. Zwettler, Werner Backfrieder, Ronald A. Karwoski, David R. Holmes III:
Generic User-guided Interaction Paradigm for Precise Post-slice-wise Processing of Tomographic Deep Learning Segmentations Utilizing Graph Cut and Graph Segmentation. VISIGRAPP (4: VISAPP) 2021: 235-244 - [c10]Gerald A. Zwettler, Christoph Praschl
Three-step Alignment Approach for Fitting a Normalized Mask of a Person Rotating in A-Pose or T-Pose Essential for 3D Reconstruction based on 2D Images and CGI Derived Reference Target Pose. VISIGRAPP (5: VISAPP) 2021: 281-292 - 2020
- [c9]Gerald A. Zwettler, Werner Backfrieder, David R. Holmes III:
Pre- and Post-processing Strategies for Generic Slice-wise Segmentation of Tomographic 3D Datasets Utilizing U-Net Deep Learning Models Trained for Specific Diagnostic Domains. VISIGRAPP (5: VISAPP) 2020: 66-78 - 2014
- [c8]Gerald A. Zwettler, Werner Backfrieder:
Simulation of tomographic medical image data for training of generic segmentation models utilizing multivariate feature classification. SummerSim 2014: 13 - 2013
- [c7]Gerald A. Zwettler, Werner Backfrieder:
Architecture and Design of a Generic Device Server for Virtual Reality Hardware Integration in Surgical Navigation. EUROCAST (2) 2013: 166-173 - [c6]Gerald A. Zwettler, Werner Backfrieder:
Generic 3D Segmentation in Medicine based on a Self-learning Topological Model. VISAPP (2) 2013: 104-108 - 2011
- [c5]Gerald A. Zwettler, Robert Pichler, Werner Backfrieder:
Diagnosis of Neurodegenerative Diseases Based on Multi-modal Hemodynamic Classification of the Brain. EUROCAST (2) 2011: 209-216 - [c4]Gerald A. Zwettler, Paul Track, Florian Waschaurek, Richard Woschitz, Elmar Hagmann, Stefan Hinterholzer:
Automated Building Construction Design Optimization for Reduction of Construction Costs and Energy Demand. EUROCAST (1) 2011: 216-223 - [c3]Gerald A. Zwettler, Paul Track, Florian Waschaurek, Richard Woschitz, Elmar Hagmann, Stefan Hinterholzer:
Towards a Normalized Reference System in Building Construction Planning for Automated Quantitative Assessment and Optimization of Energy and Cost Efficiency. IT Revolutions 2011: 39-57 - 2008
- [c2]Gerald A. Zwettler, Franz Pfeifer, Roland Swoboda, Werner Backfrieder:
Accelerated Skeletonization Algorithm for Tubular Structures in Large Datasets by Randomized Erosion. VISAPP (1) 2008: 74-81 - [c1]Gerald A. Zwettler, Roland Swoboda, Franz Pfeifer, Werner Backfrieder:
Fast Medial Axis Extraction Algorithm on Tubular Large 3D Data by Randomized Erosion. VISIGRAPP (Selected Papers) 2008: 97-108
Coauthor Index
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