Effective 3D patient data visualization for brain MRI is required in surgical planning and in-situ guidance during brain tumor resection. Traditional 2D displays do not possess depth perception and are poor in underst...
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ISBN:
(纸本)9798350351439;9798350351422
Effective 3D patient data visualization for brain MRI is required in surgical planning and in-situ guidance during brain tumor resection. Traditional 2D displays do not possess depth perception and are poor in understanding complex anatomical structures being displayed in 3D. In this work, an interactive visualization system based on augmented reality is presented, which provides an intuitive and truly immersive way to visualize and interact with 3D brain MRI data as preoperative planning and in-situ guidance by a surgeon during tumor resection procedures of the brain. In this work, we propose a system where AR Devices can render patient-specific 3D brain models, reconstructed from MRI data, in a spatially registered way to the surgical field. These 3D virtual models can be interacted by the surgeon, through the natural use of controls, to study the spatial relationship of critical structures such as tumors, ventricles, and functional brain regions. Advanced volume rendering and multi-modal data fusions are used in creating photorealistic 3D visualizations with high anatomical detail.
This paper introduces AUTOVI, a data exploration platform that changes how individuals interact with and understand datasets. Autovi's contribution comes from its simplicity and focus on making the experience of t...
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ISBN:
(纸本)9798350380170;9798350380163
This paper introduces AUTOVI, a data exploration platform that changes how individuals interact with and understand datasets. Autovi's contribution comes from its simplicity and focus on making the experience of the user both simple and informative. Autovi achieves its goals by preprocessing real-world data comprehensively, ensuring thorough analysis of different datasets. The modular design of Autovi empowers users, making data exploration supportive and engaging. What sets Autovi apart is its transparent Multi-Layer Perceptron (MLP) classifier and dynamic user feedback mechanisms, which prioritize clarity in training processes for better user understanding. Autovi demonstrates efficiency in data exploration tasks compared to traditional coding approaches. Autovi also automates insights, making data exploration accessible to users of all proficiency levels.
Motion is widely used in modern data visualizations, serving as a means for transitioning views and as a primary channel for conveying information. Particle flow maps have become a popular means for communicating the ...
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ISBN:
(纸本)9798350325577
Motion is widely used in modern data visualizations, serving as a means for transitioning views and as a primary channel for conveying information. Particle flow maps have become a popular means for communicating the speed and direction of wind in engaging and informative ways. Yet there is little empirical design guidance supporting the multiple encodings these maps use, such as particle speed, particle density, and color saturation. In this paper, we investigate multiple encoding wind maps using a staircase methodology to estimate just-noticeable differences for a range of speed values across visualizations with or without motion encodings. Results suggest: 1. the multiple encodings designers use are not only aesthetically engaging- they also improve speed discriminability for the average participant. 2. The speed of particle motion should be controlled under a certain range for good information retrieval accuracy. These findings contribute empirical guidance for particle motion encoding design, and lay groundwork for future investigations as motion becomes more widely used in visualization practice.
Developers usually use diagrams and source code to jointly discuss and plan software architecture changes. With this poster, we present our on-going work on a novel approach that enables developers to collaboratively ...
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ISBN:
(纸本)9798331528492;9798331528485
Developers usually use diagrams and source code to jointly discuss and plan software architecture changes. With this poster, we present our on-going work on a novel approach that enables developers to collaboratively use software city visualization to design and plan software architecture changes.
visualizations have become crucial in the contemporary data-driven world as they aid in exploring, verifying, and sharing insights obtained from data. In this paper, we propose a new paradigm of visualization synthesi...
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ISBN:
(数字)9798400712487
ISBN:
(纸本)9798400712487
visualizations have become crucial in the contemporary data-driven world as they aid in exploring, verifying, and sharing insights obtained from data. In this paper, we propose a new paradigm of visualization synthesis based on refinement types. Besides input-output examples, users can optionally use refinement-type annotations to constrain the range of valid values in the example visualization or to express complex interactions between different visual components. Our system's outputs include both data transformation and visualization programs that are consistent with refinement-type specifications. To mitigate the scalability challenge during the synthesis process, we introduce a new visualization synthesis algorithm that uses lightweight bidirectional type checking to prune the search space. As we demonstrate experimentally, this new synthesis algorithm results in significant speed-up compared to prior work. We have implemented the proposed approach in a tool called CALICO and evaluated it on 40 visualization tasks collected from online forums and tutorials. Our experiments show that CALICO can solve 98% of these benchmarks and, among those benchmarks that can be solved, the desired visualization is among the top-1 output generated by CALICO. Furthermore, CALICO takes an average of 1.56 seconds to generate the visualization, which is 50 times faster than VISER, a state-of-the-art synthesizer for data visualization.
Scatterplots are commonly used in various contexts, from scientific publications to infographics for the general public. However, not everyone is able to read them, and even experts may struggle to notice some importa...
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ISBN:
(纸本)9798350393811;9798350393804
Scatterplots are commonly used in various contexts, from scientific publications to infographics for the general public. However, not everyone is able to read them, and even experts may struggle to notice some important information such as overlapping clusters or temporal changes. To address these issues, a computational approach for annotating scatterplots has been developed. This approach involves various forms of annotation, including drawing lines to show correlations, circling areas to show clusters, and indicating movement with arrows. The approach is based on a study that identified common annotation strategies used by people to annotate scatterplots. These strategies are distilled into an automated method for generating graphical annotations on scatterplots. The method involves a problem formulation using a Markov Decision Process and a model for making annotation decisions. The model generates step-by-step graphical annotations by analyzing data insights and observing the chart. The final result conveys a narrative that is easy to understand and allows for the conveyance of temporal changes in the data. The study results suggest that the method can generate understandable and functional annotations that are comparable to those created by human experts. This approach can potentially reduce the time and effort required to read scatterplots, making it a useful tool for data visualization novices.
Structural visualization in visual communication was explored from a social network perspective to understand the role of visual elements in information transfer and communication. Through the introduction of related ...
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Accessibility in visualization is an important yet challenging topic. Sonification, in particular, is a valuable yet underutilized technique that can enhance accessibility for people with low vision. However, the lowe...
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ISBN:
(纸本)9798350325577
Accessibility in visualization is an important yet challenging topic. Sonification, in particular, is a valuable yet underutilized technique that can enhance accessibility for people with low vision. However, the lower bandwidth of the auditory channel makes it difficult to fully convey dense visualizations. For this reason, interactivity is key in making full use of its potential. In this paper, we present a novel approach for the sonification of dense line charts. We utilize the metaphor of a string instrument, where individual line segments can be "plucked". We propose an importance-driven approach which encodes the directionality of line segments using frequency and dynamically scales amplitude for improved density perception. We discuss the potential of our approach based on a set of examples.
This paper discusses the development of a visualization module for a cloud-based practicum on the poST language. The module integrates dynamic display, editing, and export capabilities, enhancing the learning experien...
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This study presents Datalyzer, a system designed for data extraction, visualization, and prediction in the mining sector using advanced NLP and machine learning, specifically GPT-3.5 Turbo. The system enhances operati...
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ISBN:
(纸本)9798350349603;9798350349597
This study presents Datalyzer, a system designed for data extraction, visualization, and prediction in the mining sector using advanced NLP and machine learning, specifically GPT-3.5 Turbo. The system enhances operational efficiency through rigorous data preprocessing and specialized fine-tuning, validated on a simulated mining dataset. Results show significant improvements: data extraction time reduced by 94% and visualization time by 97.6%. These improvements indicate a transformation in efficiency, usability, and user satisfaction. Despite limitations in data variability and complexity, this pioneering approach highlights the potential of NLP and machine learning in modernizing the mining industry and supporting data-driven decision-making.
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