Johannes Novotny

Johannes Novotny
VRVis Zentrum für Virtual Reality und Visualisierung Forschungs GmbH | VRVis Forschungs GmbH · Biomedical Image Informatics

Doctor of Philosophy

About

25
Publications
13,724
Reads
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147
Citations
Education
August 2014 - July 2020
Brown University
Field of study
  • Computer Science
September 2008 - June 2013
TU Wien
Field of study
  • Visual Computing
September 2003 - June 2007
TU Wien
Field of study
  • Medical Computer Science

Publications

Publications (25)
Poster
We present a two-year design study of developing virtual reality (VR) flow visualization tools for the analysis of dinosaur track creation using the Scientific Sketching design methodology. We involved 25 art and computer science students from a VR design course in a rapid visualization sketching cycle, guided by paleontologist collaborators throug...
Article
We present a case study evaluating the potential for interactively identifying placental surface blood vessels using magnetic resonance imaging (MRI) scans in virtual reality (VR) environments. We visualized the MRI data using direct volume rendering in a high-fidelity CAVE-like VR system, allowing medical professionals to identify relevant placent...
Preprint
Full-text available
Efficient and fast reconstruction of anatomical structures plays a crucial role in clinical practice. Minimizing retrieval and processing times not only potentially enhances swift response and decision-making in critical scenarios but also supports interactive surgical planning and navigation. Recent methods attempt to solve the medical shape recon...
Article
This work reports how text size and other rendering conditions affect reading speeds in a virtual reality environment and a scientific data analysis application. Displaying text legibly yet space-efficiently is a challenging problem in immersive displays. Effective text displays that enable users to read at their maximum speed must consider the var...
Article
Quantitative measurement of crystals in high-resolution images allows for important insights into underlying material characteristics. Deep learning has shown great progress in vision-based automatic crystal size measurement, but current instance segmentation methods reach their limits with images that have large variation in crystal size or hard t...
Article
Virtual and augmented reality (VR/AR) are new technologies with the power to revolutionize the study of morphology. Modern imaging approaches such as computed tomography, laser scanning, and photogrammetry have opened up a new digital world, enabling researchers to share and analyze morphological data electronically and in great detail. Because thi...
Article
We present exploratory research of virtual reality techniques and mnemonic devices to assist in retrieving knowledge from scholarly articles. We used abstracts of scientific publications to represent scientific knowledge in scholarly articles; participants were asked to read, remember, and retrieve knowledge from a set of abstracts. We conducted an...
Article
Full-text available
BasinVis 1.0, a MATLAB-based modular open-source program released in 2016, has been used for multiple application studies of sedimentary basin analysis and modelling in both academic and industry fields. Based on these studies and user feedbacks, we have improved the workflow, revised user interfaces and developed novel techniques for the compactio...
Article
We present the results of a two-year design study to developing virtual reality (VR) flow visualization tools for the analysis of dinosaur track creation in a malleable substrate. Using Scientific Sketching methodology, we combined input from illustration artists, visualization experts, and domain scientists to create novel visualization methods. B...
Book
Full-text available
PREFACE In the study of sediments and sedimentary basins, subsidence analysis provides an essential step to understand basin evolution through geologic time and space. Quan-tifying techniques have been developed and applied in many basin research projects to evaluate total, tectonic and thermal subsidence, used also as a pre-requisite for basin mod...
Chapter
Full-text available
This chapter introduces three subsidence analysis models which are total subsidence, tectonic subsidence and post-rift thermal subsidence. The three subsidence models are essential to understand evolution of a sedimentary basin. Due to compaction effect, the present stratigraphic framework of a sedimentary basin fill does not present directly the p...
Chapter
Full-text available
In this chapter, we introduce geological data visualization techniques and discuss how these techniques can be applied to the subsidence analysis and visualization of a sedimentary basin. Geoscientific data are often sparsely distributed over wide study areas, therefore data interpolation is required to generate comprehensive maps. We examine five...
Conference Paper
Full-text available
This study analyzed and visualized data from 219 wells using a MATLAB-based program BasinVis 1.0 for the tectonic subsidence evolution of the northern and central Vienna Basin. Subsidence of the study area resulted in 3D subsidence depth maps and rate maps of tectonic subsidence in seven successive stages. Due to the position, the Vienna Basin has...
Conference Paper
Full-text available
2D/3D visualization of basin fill and subsidence is a highly efficient way to understand the stratigraphic context and internal structure of sedimentary basins by showing how geological data are distributed over the area. Quantitative subsidence analysis provides significant insights for overall and tectonic evolution of a sedimentary basin. We dev...
Conference Paper
Full-text available
This study analyzed and visualized data from 210 wells using a MATLAB-based program (BasinVis 1.0) for 3D visualization of sediment distribution, thickness, and quantitative subsidence of the northern and central Vienna Basin. The sedimentation settings for selected horizons were visualized to 3D sediment distribution maps, isopach maps, and cross-...

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