Gerald A. Zwettler

19 papers C 1Journal 3Unranked 15
YearRankTypeTitle / Venue / Authors
2024 — conf
Customization and Analysis of Orthopedic Aids.
EUROCAST (2)
Christoph Praschl, Mert Dalkilic, Sophie Bauernfeind, Markus Wakolbinger, Gerald A. Zwettler
2024 — conf
Efficient Classification of Live Sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods.
EUROCAST (2)
Martin Hanreich, Oliver Krauss, Gerald A. Zwettler
2023 — conf
Generative Adversarial Network Synthesis for Improved Deep Learning Model Training of Alpine Plants with Fuzzy Structures.
VISIGRAPP (4: VISAPP)
Christoph Praschl, Roland Kaiser, Gerald A. Zwettler
2022 — conf
Segmentation and Multi-facet Classification of Individual Logs in Wooden Piles.
EUROCAST
Christoph Praschl, Philipp Auersperg-Castell, Brigitte Forster-Heinlein, Gerald A. Zwettler
2022 C conf
Three-step Approach for Localization, Instance Segmentation and Multi-facet Classification of Individual Logs in Wooden Piles.
ICPRAM
Christoph Praschl, Gerald A. Zwettler
2021 — conf
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)
Gerald A. Zwettler, Werner Backfrieder, Ronald A. Karwoski, David R. Holmes III
2021 J jnl
Imaging framework: An interoperable and extendable connector for image-related Java frameworks.
SoftwareX
Christoph Praschl, Andreas Pointner, David Baumgartner, Gerald A. Zwettler
2021 — conf
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)
Gerald A. Zwettler, Christoph Praschl, David Baumgartner, Tobias Zucali, Dora Turk, Martin Hanreich, Andreas Schuler
2020 J jnl
Enabling outdoor MR capabilities for head mounted displays: a case study.
Int. J. Simul. Process. Model.
Christoph Praschl, Oliver Krauss, Gerald A. Zwettler
2020 — conf
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)
Gerald A. Zwettler, Werner Backfrieder, David R. Holmes III
2020 J jnl
Strategies for Training Deep Learning Models in Medical Domains with Small Reference Datasets.
J. WSCG
Gerald A. Zwettler, David R. Holmes III, Werner Backfrieder
2014 — conf
Simulation of tomographic medical image data for training of generic segmentation models utilizing multivariate feature classification.
SummerSim
Gerald A. Zwettler, Werner Backfrieder
2013 — conf
Architecture and Design of a Generic Device Server for Virtual Reality Hardware Integration in Surgical Navigation.
EUROCAST (2)
Gerald A. Zwettler, Werner Backfrieder
2013 — conf
Generic 3D Segmentation in Medicine based on a Self-learning Topological Model.
VISAPP (2)
Gerald A. Zwettler, Werner Backfrieder
2011 — conf
Automated Building Construction Design Optimization for Reduction of Construction Costs and Energy Demand.
EUROCAST (1)
Gerald A. Zwettler, Paul Track, Florian Waschaurek, Richard Woschitz, Elmar Hagmann, Stefan Hinterholzer
2011 — conf
Diagnosis of Neurodegenerative Diseases Based on Multi-modal Hemodynamic Classification of the Brain.
EUROCAST (2)
Gerald A. Zwettler, Robert Pichler, Werner Backfrieder
2011 — conf
Towards a Normalized Reference System in Building Construction Planning for Automated Quantitative Assessment and Optimization of Energy and Cost Efficiency.
IT Revolutions
Gerald A. Zwettler, Paul Track, Florian Waschaurek, Richard Woschitz, Elmar Hagmann, Stefan Hinterholzer
2008 — conf
Accelerated Skeletonization Algorithm for Tubular Structures in Large Datasets by Randomized Erosion.
VISAPP (1)
Gerald A. Zwettler, Franz Pfeifer, Roland Swoboda, Werner Backfrieder
2008 — conf
Fast Medial Axis Extraction Algorithm on Tubular Large 3D Data by Randomized Erosion.
VISIGRAPP (Selected Papers)
Gerald A. Zwettler, Roland Swoboda, Franz Pfeifer, Werner Backfrieder