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Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics
Fabio Miranda, Gustavo Moreira October 13, 2024 - October 28, 2024 Over the past decade, several urban visual analytics systems and tools have been proposed to tackle a host of challenges faced by cities, in areas as… Read more |
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BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analytics
Andrew Wentzel, G. Elisabeta Marai, Juan Trelles Trabucco September 22, 2024 In the biomedical domain, taxonomies organize the acquisition modalities of scientific images in hierarchical structures. Such taxonomies leverage… Read more |
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Assessing the Landscape of Toolkits, Frameworks, and Authoring Tools for Urban Visual Analytics Systems
Fabio Miranda, Gustavo Moreira, Leonardo Ferreira August 21, 2024 Over the past decade, there has been a significant increase in the development of visual analytics systems dedicated to addressing urban issues… Read more |
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Electronic Visualization Laboratory’s 50th Anniversary Retrospective: Look to the Future, Build on the Past
Andrew Johnson, Dana M. Plepys, Daniel J. Sandin, Daria Tsoupikova, G. Elisabeta Marai, Jason Leigh, Jonas Talandis, Lance Long, Luc Renambot, Maxine Brown, Michael E. Papka, Thomas A. DeFanti August 1, 2024 September 2023 marks the 50th anniversary of the Electronic Visualization Laboratory (EVL) at University of Illinois Chicago (UIC). EVL’s… Read more |
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DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer
Andrew Wentzel, G. Elisabeta Marai July 18, 2024 - July 1, 2024 Digital twin models are of high interest to Head and Neck Cancer (HNC) oncologists, who have to navigate a series of complex treatment decisions that… Read more |
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MOTIV: Visual Exploration of Moral Framing in Social Media
Andrew Wentzel, G. Elisabeta Marai March 15, 2024 This project was performed during the COVID-19 pandemic. It presents a visual computing framework (MOTIV) for analyzing moral rhetoric on social… Read more |
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Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces
Fabio Miranda, Gustavo Moreira, Kazi Shahrukh Omar February 1, 2024 Sunlight and shadow play critical roles in how urban spaces are utilized, thrive, and grow. While access to sunlight is essential to the success of… Read more |
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e-JUST - Environmental Justice using Urban Scalable Toolkit
Fabio Miranda, Gustavo Moreira January 28, 2024 - February 1, 2024 e-JUST - Environmental Justice using Urban Scalable Toolkit, a state-of-the-art GIS-based web platform, is being developed to inform local and… Read more |
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Kiviat Defense: An Empirical Evaluation of Visual Encoding Effectiveness in Multivariate Data Similarity Detection
Andrew Wentzel, G. Elisabeta Marai, Juan Trelles Trabucco, Mirko Mantovani January 22, 2024 - January 25, 2024 Similarity detection seeks to identify similar, but distinct items over multivariate datasets. Often, similarity cannot be defined computationally… Read more |
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MouseScholar: Evaluating an Image+Text Search System for Biocuration
Carla Floricel, G. Elisabeta Marai, Juan Trelles Trabucco December 5, 2023 - December 8, 2023 Biocuration is the process of analyzing biological or biomedical articles to organize biological data into data repositories using taxonomies and… Read more |
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Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai October 22, 2023 - October 27, 2023 Personalized head and neck cancer therapeutics have greatly improved survival rates for patients, but are often leading to understudied long-lasting… Read more |
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The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics
Fabio Miranda, Gustavo Moreira, Md Nafiul Alam Nipu October 22, 2023 - October 27, 2023 While cities around the world are looking for smart ways to channel new advances in data collection, management, and analysis to address their… Read more |
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ProWis: A visual approach for building, managing, and analyzing weather simulation ensembles in runtime
Fabio Miranda October 22, 2023 - October 27, 2023 Weather forecasting is essential for decision-making and is usually performed using numerical modeling. Numerical weather models, in turn, are… Read more |
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Multi-Organ Spatial Stratification of 3-D Dose Distributions Improves Risk Prediction of Long-Term Self-Reported Severe Symptoms in Oropharyngeal Cancer Patients Receiving Radiotherapy: Development of a Pre-Treatment Decision Support Tool.
Andrew Wentzel, G. Elisabeta Marai July 17, 2023 Recent advances in precision medicine for treating Oropharyngeal cancer (OPC) have led to significant improvements in survival for patients. However… Read more |
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Enhancing biomedical search interfaces with images
G. Elisabeta Marai, Juan Trelles Trabucco July 17, 2023 Motivation: Figures in biomedical papers communicate essential information with the potential to identify relevant documents in biomedical and… Read more |
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Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas
Andrew Wentzel, G. Elisabeta Marai June 28, 2023 Objective: Evaluate the effectiveness of machine learning tools that incorporate spatial information such as disease location and lymph node… Read more |
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ChemoGraph: Interactive Visual Exploration of the Chemical Space
Michael E. Papka June 12, 2023 - June 16, 2023 Honorable Mention in the EuroVis Best Paper Category Exploratory analysis of the chemical space is an important task in the field of cheminformatics… Read more |
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DASS Good: Explainable Data Mining of Oncology Imaging and Toxicity Data
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai June 1, 2023 Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose… Read more |
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Visualizing the NOAA CarbonTracker-CH4 3-D Mole Fraction (Pressure Corrected) Dataset
Matt Ziminski May 1, 2023 Methane the main component of natural gas is also a potent greenhouse gas that requires robust monitoring, so that scientists, educators, and the… Read more |
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Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
Fabio Miranda February 22, 2023 While cities around the world are increasingly promoting streets and public spaces that prioritize pedestrians over vehicles, significant data gaps… Read more |
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Visual Analysis and Detection of Contrails in Aircraft Engine Simulations
Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu January 1, 2023 Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth’s radiation budget. Simulation modeling… Read more |
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Alveolus Analysis: A Web Browser-based Tool to Analyze Lung Intravital Microscopy
Andrew Burks, G. Elisabeta Marai November 30, 2022 BACKGROUND: Acute lung injury and the acute respiratory distress syndrome (ARDS) are characterized by pulmonary inflammation, reduced endothelial… Read more |
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The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools
Fabio Miranda October 23, 2022 - October 26, 2022 Inaccessible urban infrastructure creates and reinforces systemic exclusion of people with disabilities and impacts public health, physical activity… Read more |
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Head and Neck Cancer Predictive Risk Estimator to Determine Control and Therapeutic Outcomes of Radiotherapy (HNCPREDICTOR)
G. Elisabeta Marai, Md Nafiul Alam Nipu October 21, 2022 Background. Personalized radiotherapy can improve treatment outcomes of head and neck cancer (HNC) patients, where currently a… Read more |
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Crowdsourcing and Sidewalk Data: A Preliminary Study on the Trustworthiness of OpenStreetMap Data in the US
Fabio Miranda, Gustavo Moreira, Kazi Shahrukh Omar October 17, 2022 Sidewalks play a pivotal role in urban mobility of everyday life. Ideally, sidewalks provide a safe walkway for pedestrians, link public… Read more |
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Visual Analysis and Detection of Contrails in Aircraft Engine Simulations
Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu October 16, 2022 - October 21, 2022 Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth’s radiation budget. Simulation… Read more |
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A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics
Fabio Miranda October 16, 2022 - October 21, 2022 Recent technological innovations have led to an increase in the availability of 3D urban data, such as shadow, noise, solar potential, and earthquake… Read more |
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V-NeuroStack: Open-source 3D time stack software for identifying patterns in neuronal data
Ashwini Naik, Robert V. Kenyon October 12, 2022 Understanding functional correlations between the activities of neuron populations are vital for the analysis of neuronal networks. Analyzing… Read more |
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A Comparative Study of Methods for the Visualization of Probability Distributions of Geographical Data
Fabio Miranda, Sanjana Srabanti July 13, 2022 Probability distributions are omnipresent in data analysis. They are often used to model the natural uncertainty present in real phenomena or to… Read more |
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Moving from Composable to Programmable
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen April 15, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more |
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Composable Infrastructures for an Academic Research Environment: Lessons Learned
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Timothy Bargo April 15, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more |
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A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care
G. Elisabeta Marai, Sanjana Srabanti April 11, 2022 - April 14, 2022 The annual incidence of head and neck cancers (HNC) worldwide is more than 550,000 cases, with around 300,000 deaths each year. However, the… Read more |
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Exploiting appearance transfer and multi-scale context for efficient person image generation
Wei Tang April 1, 2022 Pose guided person image generation means to generate a photo-realistic person image conditioned on an input person image and a desired pose. This… Read more |
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CitySurfaces: City-scale semantic segmentation of sidewalk materials
Fabio Miranda April 1, 2022 While designing sustainable and resilient urban built environment is increasingly promoted around the world, significant data gaps have made research… Read more |
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Visualizing simulation ensembles of extreme weather events
Fabio Miranda February 3, 2022 In the last 20 years, extreme weather-related events like floods, landslides, droughts, and wildfires have caused the death of 1.23 million people… Read more |
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THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu January 1, 2022 Although cancer patients survive years after oncologic therapy, they are plagued with long-lasting or permanent residual symptoms, whose severity… Read more |
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ANIMO: Annotation of Biomed Image Modalities
G. Elisabeta Marai, Juan Trelles Trabucco December 9, 2021 - December 12, 2021 Figures within biomedical articles present essential evidence of the relevance of a publication in a curation workflow. In particular, visual cues of… Read more |
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COVID-19 EnsembleVis: Visual Analysis of County-level Ensemble Forecast Models
Fabio Miranda, G. Elisabeta Marai, Sanjana Srabanti December 1, 2021 The spread of the SARS-CoV-2 virus and its contagious disease COVID-19 has impacted countries to an extent not seen since the 1918 flu pandemic. In… Read more |
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Supporting Collaborative Exploratory Visual Data Analysis in Multi-device Environments
Abeer Alsaiari November 1, 2021 There is a steadily growing interest in leveraging ecosystems of digital devices that go beyond a single desktop for collaborative visual data… Read more |
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Parameter Analysis and Contrail Detection of Aircraft Engine Simulations
Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu October 25, 2021 Aircraft engines emit particulates that alter the chemical composition of the atmosphere and perturb the Earth’s radiation budget by creating… Read more |
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Modulated Graph Convolutional Network for 3D Human Pose Estimation
Wei Tang October 11, 2021 - October 17, 2021 The graph convolutional network (GCN) has recently achieved promising performance of 3D human pose estimation (HPE) by modeling the relationship… Read more |
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Feature Selection for Support Vector Regression Using a Genetic Algorithm
G. Elisabeta Marai September 8, 2021 Support vector regression (SVR) is particularly beneficial when the outcome and predictors are nonlinearly related. However, when many covariates are… Read more |
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UrbanRama: Navigating Cities in Virtual Reality
Fabio Miranda July 26, 2021 Exploring large virtual environments, such as cities, is a central task in several domains, such as gaming and urban planning. VR systems can greatly… Read more |
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Utilizing Image and Caption Information for Biomedical Document Classification
G. Elisabeta Marai, Juan Trelles Trabucco July 25, 2021 - July 30, 2021 Motivation: Biomedical research findings are typically disseminated through publications. To simplify access to domain-specific knowledge while… Read more |
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Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes
G. Elisabeta Marai July 14, 2021 - July 16, 2021 Patient-Reported Outcome (PRO) surveys are used to monitor patients’ symptoms during and after cancer treatment. Late symptoms refer to those… Read more |
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Oropharyngeal cancer patient stratification using random forest based‑learning over high‑dimensional radiomic features
G. Elisabeta Marai July 7, 2021 To improve risk prediction for oropharyngeal cancer (OPC) patients using cluster analysis on the radiomic features extracted from pre‑treatment… Read more |
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A digital twin dyad with deep Q-learning in head and neck cancer treatment
Andrew Wentzel, Elisa Tardini, G. Elisabeta Marai June 18, 2021 Each year, over 60,000 people in the United States are diagnosed with head and neck cancers. Treatment strategies are dynamic and complex and can… Read more |
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Precision association of lymphatic disease spread with radiation-associated toxicity in oropharyngeal squamous carcinomas
Andrew Wentzel, G. Elisabeta Marai, Timothy Luciani June 11, 2021 Purpose: To determine whether patient similarity in terms of head and neck cancer spread through lymph nodes correlates significantly with… Read more |
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Identifying Symptom Clusters Through Association Rule Mining
Carla Floricel, G. Elisabeta Marai June 8, 2021 Cancer patients experience many symptoms throughout their cancer treatment and sometimes suffer from lasting effects post treatment. Patient-Reported… Read more |
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Recursive meta-Reinforcement Learning for Personalized Sequential Dynamic Treatment Policies
Elisa Tardini May 1, 2021 In recent years deep meta-reinforcement learning has extended the applicability of reinforcement learning (RL) algorithms: by integrating recurrent… Read more |
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Modality-Classification of Microscopy Images Using Shallow Variants of Deep Networks
G. Elisabeta Marai, Juan Trelles Trabucco December 16, 2020 - December 19, 2020 Microscopy images are pervasive in biomedical research publications, where images obtained through various microscopy modalities (light… Read more |
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Visualizing Symptom Development During Head and Neck Cancer Treatment
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu October 25, 2020 - October 30, 2020 Approximately 100,000 cases of Head and Neck Cancer (HNC) are diagnosed in the US annually. Patients are increasingly likely to survive but often… Read more |
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Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology
Andrew Wentzel, G. Elisabeta Marai October 25, 2020 - October 30, 2020 Advances in data collection in radiation therapy have led to an abundance of opportunities for applying data mining and machine learning techniques… Read more |
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Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy
Andrew Wentzel, G. Elisabeta Marai, Peter Hanula July 1, 2020 Abstract Purpose: Using a 200 Head and Neck cancer (HNC) patient cohort, we employ patient similarity based on tumor location, volume, and proximity… Read more |
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Many At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display Environments
Abeer Alsaiari, Abhinav Kumar, Andrew Johnson, Jillian Aurisano May 25, 2020 - May 29, 2020 This paper describes results from an observational, exploratory study of visual data exploration in a large, multi-view, flexible canvas environment… Read more |
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Evaluating Strategies of Exploratory Visual Data Analysis in Multi Device Environments
Abeer Alsaiari, Andrew Johnson, Jillian Aurisano May 25, 2020 - May 29, 2020 Supporting exploratory visual data analysis is essential when multiple analysts collaborate using multiple devices. Yet, we still have no full… Read more |
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Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction
G. Elisabeta Marai March 2, 2020 Clustering is the task of identifying groups of similar subjects according to certain criteria. The AJCC staging system can be thought as a… Read more |
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A Spatial Neighborhood Methodology for Computing and Analyzing Lymph Node Carcinoma Similarity in Precision Medicine
Andrew Wentzel, G. Elisabeta Marai, Timothy Luciani March 1, 2020 Precision medicine seeks to tailor therapy to the individual patient, based on statistical correlates from patients who are similar to the one under… Read more |
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Visual Data Science: Advanced Cyberinfrastructure Systems (poster session)
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown January 17, 2020 COMPaaS DLV, COMposable Platform as a Service Instrument for Deep Learning & Visualization, was purchased from Liqid, Inc., with NSF funds. Its… Read more |
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V-NeuroStack: 3-D time stacks for finding patterns in spontaneous activity of neurons in mouse brain slice
Ashwini Naik, Robert V. Kenyon October 21, 2019 V-NeuroStack is a web application which uses 3-D time stack approach to identify patterns in the neuronal activity and to understand functional… Read more |
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Towards Understanding Collaborative Visual Data Analysis in Multi-Device Environments
Abeer Alsaiari, Andrew Johnson October 20, 2019 - October 25, 2019 There is a steadily growing interest in leveraging ecosystems of digital devices that go beyond a single desktop for visual data analysis and… Read more |
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PolyVis: Cross-Device Framework for Collaborative Visual Data Analysis
Abeer Alsaiari, Andrew Johnson, Arthur Nishimoto October 6, 2019 - October 9, 2019 Multi-device environments present new opportunities for collaborative visual data analysis and sense-making by utilizing each device’s… Read more |
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Cohort-Based Spatial Similarity Can Predict Radiotherapy Dose Distribution
Andrew Wentzel, G. Elisabeta Marai, Peter Hanula, Timothy Luciani September 15, 2019 - September 18, 2019 In head and neck (HN) cancer treatment, radiotherapy (RT) plans assigned to a given patient depend in large measure on the tumor location with… Read more |
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Correlating Toxicity Outcomes with Spatial Patterns of Lymph Node Metastasis for Oropharyngeal Cancer Patients
G. Elisabeta Marai, Timothy Luciani September 15, 2019 - September 18, 2019 Imaging is an integral tool in radiation oncology, starting from initial diagnosis to follow-up post-therapy. In head and neck cancer treatment… Read more |
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Chronic Radiation-Associated Dysphagia in Oropharyngeal Cancer Survivors: Towards Age-Adjusted Dose Constraints for Deglutitive Muscles
G. Elisabeta Marai September 1, 2019 Objectives: We sought to model chronic radiation-associated dysphagia (RAD) in patients given intensity-modulated radiation therapy (IMRT) for… Read more |
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Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration
Andrew Wentzel, G. Elisabeta Marai, Peter Hanula, Timothy Luciani August 22, 2019 We describe a visual computing approach to radiation therapy (RT) planning, based on spatial similarity within a patient cohort. In radiotherapy for… Read more |
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10 simple rules to create biological network figures for communication
G. Elisabeta Marai June 28, 2019 Biological network figures are ubiquitous in the biology and medical literature. On the one hand, a good network figure can quickly provide… Read more |
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Visual Analysis of a Smart City’s Energy Consumption
G. Elisabeta Marai, Juan Trelles Trabucco May 2, 2019 Through the use of open data portals, cities, districts and countries are increasingly making available energy consumption data. These data have the… Read more |
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Immersive Analytics Lessons from the Electronic Visualization Laboratory: a 25 Year Perspective
Andrew Johnson, G. Elisabeta Marai, Jason Leigh May 1, 2019 - June 30, 2019 This article provides a 25 year-long perspective on Immersive Analytics through the lens of first-in-kind technological advancements introduced at… Read more |
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Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations
Andrew Burks, G. Elisabeta Marai, Timothy Luciani January 1, 2019 Visualization research often seeks designs that first establish an overview of the data, in accordance to the information seeking mantra… Read more |
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CAMP - RT: A Patient Similarity-Based Method for Predicting Radiation Dosage in Head and Neck Radiation Oncology
Peter Hanula December 31, 2018 I present an automated method for computing the spatial similarity of tumor location with respect to organs at risk between multiple head and neck… Read more |
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Design and Evaluation of Trust - Eliciting Cues in Drug - Drug Interaction Alerts
Debaleena Chattopadhyay December 18, 2018 Drug-drug interaction (DDI) alerts safeguard patient safety during medication prescribing, but are often ignored by physicians. Despite attempts to… Read more |
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Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer
G. Elisabeta Marai November 28, 2018 Purpose To evaluate the effect of transforming a right-censored outcome into binary, continuous, and censored-aware representations on radiomics… Read more |
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Toward a Bayesian Approach for Self- Tracking Personal Pollution Exposures
Debaleena Chattopadhyay October 8, 2018 - October 12, 2018 Pollution exposure assessment at the population level is an established enterprise for environmental scientists and public health officials - but… Read more |
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myCityMeter: Helping Older Adults Manage the Environmental Risk Factors for Cognitive Impairment
Debaleena Chattopadhyay, Nina Sakhnini October 8, 2018 - October 12, 2018 Recent epidemiological studies suggest that age-related cognitive decline - particularly, the stages between normal cognitive changes in aging and… Read more |
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A Prospective In Silico Analysis of Interdisciplinary and Interobserver Spatial Variability in Post-Operative Target Delineation of High-Risk Oral Cavity Cancers: Does Physician Specialty Matter?
G. Elisabeta Marai August 2, 2018 Background The aim of this study was to determine the interdisciplinary agreement in identifying the post-operative tumor bed. Methods Three… Read more |
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Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots
Andrew Burks, Chihua Ma, Filippo Pellolio, G. Elisabeta Marai August 1, 2018 We present the design and evaluation of an integrated problem solving environment for cancer therapy analysis. The environment intertwines a… Read more |
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Machine Learning Applications in Head and Neck Radiation Oncology: Lessons from Open-Source Radiomics Challenges
G. Elisabeta Marai July 1, 2018 Authors: Hesham Elhalawani, Timothy A Lin, Stefania Volpe, Abdallah S.R. Mohamed, Aubrey L. White, James Zafereo, Andrew Wong, Joel E. Berends, Shady… Read more |
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A Composite Clinical/Serially-derived Parotid Gland Radiomics-based Model can be Correlated with Post-RT Xerostomia at 6 months in Oropharyngeal Cancer Patients Treated with Image-Guided Radiation Therapy
G. Elisabeta Marai April 20, 2018 - April 24, 2018 Support: National Institutes of Health: NCI-R01-CA214825, “SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic… Read more |
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A Combination of Serial Tumor Radiomics Features and key clinical attributes can predict the response of Head & Neck Cancers Treated with Image-Guided Radiation Therapy
G. Elisabeta Marai April 20, 2018 - April 24, 2018 Support: National Institutes of Health: NCI-R01-CA214825, “SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic… Read more |
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Visual Analysis Techniques for Dynamic Biological Networks
Chihua Ma April 1, 2018 Recent neuroscience research indicates that cognitive operations are performed not by individual brain regions working in isolation, but by networks… Read more |
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Investigation of radiomics-based signature for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients
G. Elisabeta Marai January 24, 2018 Radiomics is one such “big data” approach that applies advanced image refining/data characterization algorithms to generate imaging… Read more |
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Activity-Centered Domain Characterization for Problem-Driven Scientific Visualization
G. Elisabeta Marai January 1, 2018 Although visualization design models exist in the literature in the form of higher-level methodological frameworks, these models do not present a… Read more |
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Normal Tissue Radiomic Feature Kinetics in Oropharygeal Cancers Treated with Image-Guided Radiation Therapy: Assessment of Parotid Glands Textural Changes on Daily Non-contrast CT
G. Elisabeta Marai November 26, 2017 - December 1, 2017 Parotid gland irradiation is a major risk factor for xerostomia in patients undergoing RT for head and neck cancers. We hypothesize that texture… Read more |
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Predicting the HPV P16 Status of Oropharyngeal Cancer Patients Using Radiomics and an Ensemble of Random Forests
G. Elisabeta Marai November 26, 2017 - December 1, 2017 Recent data demonstrate that human papillomavirus (HPV)-associated oropharyngeal cancers (OPC) have discrete biology and clinical behavior as… Read more |
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RemBrain: Exploring Dynamic Biospatial Networks with MosaicMatrices and Mirror Glyphs
Chihua Ma, Filippo Pellolio, G. Elisabeta Marai, Robert V. Kenyon November 1, 2017 - December 1, 2017 We introduce a web-based visual comparison approach for the systematic exploration of dynamic activation networks across biological datasets… Read more |
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PRODIGEN: visualizing the probability landscape of stochastic gene regulatory networks in state and time space
Chihua Ma, G. Elisabeta Marai, Timothy Luciani October 24, 2017 Background: Visualizing the complex probability landscape of stochastic gene regulatory networks can further biologists’ understanding of… Read more |
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Echo: A Large Display Interactive Visualization of ICU Data for Effective Care Handoffs
G. Elisabeta Marai, Manu Mathew Thomas October 2, 2017 One of the significant challenges of care transitions in Intensive Care Units (ICUs) is the lack of effective support tools for outgoing clinicians… Read more |
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MC3 - A Web-Based Interactive Image Explorer for Temporal Analysis of Satellite Images
Andrew Burks, Bartosz Kupiec, G. Elisabeta Marai, Timothy Luciani, Vijayraj Mahida October 1, 2017 - October 6, 2017 Our web-based image analysis tool for the VAST 2017 Mini-Challenge 3 combines small multiple views of satellite images, linked semantic zooming and… Read more |
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MC1: A Bespoke Analysis Tool for Spatio-temporal Park Traffic Data
Andrew Burks, Chihua Ma, Dimitar Kirilov, G. Elisabeta Marai October 1, 2017 - October 6, 2017 This paper describes a web-based traffic data analysis tool developed for the VAST 2017 Mini Challenge 1. The tool consists of two linked heat maps… Read more |
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MC2 - Mining Factory Pollution Data through a Spatial-Nonspatial Flow Approach
Andrew Burks, G. Elisabeta Marai, Joe Borowicz, Joshua Lagunda Castor, Manu Mathew Thomas, Timothy Luciani October 1, 2017 - October 6, 2017 Mini Challenge 2 of the VAST Challenge 2017 focused on a small industrial area south of the fictional Mistford preserve, specifically around four… Read more |
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Visualizing ensemble time-evolving probability landscapes of stochastic networks
Andrew Burks, Chihua Ma, G. Elisabeta Marai, Timothy Luciani September 29, 2017 The computational study of the dynamic and stochastic natures of gene regulatory networks is a challenging topic in systems biology. Visualizing… Read more |
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Toward meaningful care plan clinical decision support: Feasibility and effects of a simulated pilot study
Alessandro Febretti, Andrew Johnson September 1, 2017 - October 1, 2017 Background - Clinical decision support (CDS) tools - with easily understood and actionable information, at the point of care - are needed to help… Read more |
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Acceptability of clinical decision support prototypes for a nursing electronic health record to facilitate palliative care outcomes.
Alessandro Febretti, Andrew Johnson September 1, 2017 To determine acceptability, usefulness, and ease of use for four nursing clinical decision support interface prototypes. In a simulated hospital… Read more |
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Dynamic Influence Networks for Rule-based Models
Andrew Burks, Angus Forbes, Kristine Lee August 1, 2017 We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for representing and analyzing rule-based models of… Read more |
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A Deep Learning Approach to Identifying Shock Locations in Turbulent Combustion Tensor Fields
G. Elisabeta Marai, Timothy Luciani July 8, 2017 We introduce a deep learning approach for the identification of shock locations in large-scale tensor field datasets. Such datasets are typically… Read more |
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Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges
G. Elisabeta Marai July 4, 2017 Cancers arising from the oropharynx have become increasingly more studied in the past few years, as they are now epidemic domestically. These tumors… Read more |
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Outcomes for End-of-Life Patients with Anticipatory Grieving: Insights from Practice with Standardized Nursing Terminologies within an Interoperable Internet-based Electronic Health Record
Andrew Johnson June 1, 2017 Although grief is often associated with death, receiving a diagnosis of a terminal disease for oneself or a loved one also unleashes an onslaught of… Read more |
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Conditional Survival Analysis of Patients With Locally Advanced Laryngeal Cancer: Construction of a Dynamic Risk Model and Clinical Nomogram
G. Elisabeta Marai March 9, 2017 Conditional survival (CS), the survival beyond a pre-defined time interval, can identify periods of higher mortality risk for patients with locally… Read more |
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Development of an innovative mHealth platform for remote physical activity monitoring and health coaching of cardiac rehabilitation patients
G. Elisabeta Marai, Manu Mathew Thomas February 16, 2017 This article presents the main features and components of iCardia - an innovative mHealth platform designed to support remote monitoring and health… Read more |
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Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers
G. Elisabeta Marai October 1, 2016 Radiomics involves the application of image processing algorithms to define a series of quantitative image characteristics. We sought to develop a… Read more |
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BranchingSets: Interactively Visualizing Categories on Node-Link Diagrams
Angus Forbes September 24, 2016 - September 26, 2016 Node-link diagrams are widely used for visualizing relational data in a wide range of fields. However, in many situations it is useful to provide set… Read more |
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GPU Acceleration and Interactive Visualization for Spatio-Temporal Networks
Andrea Purgato August 15, 2016 The thesis work presented here focuses on the optimization of the similarity computation among nodes for spatio-temporal networks. The study case in… Read more |
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TimeArcs: Visualizing Fluctuations in Dynamic Networks
Angus Forbes, Tuan Dang June 6, 2016 - June 10, 2016 In this paper we introduce TimeArcs, a novel visualization technique for representing dynamic relationships between entities in a network… Read more |
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MultiLayerMatrix: Visualizing Large Taxonomic Datasets
Angus Forbes, Tuan Dang June 6, 2016 - June 10, 2016 Adjacency matrices can be a useful way to visualize dense networks. However, they do not scale well as the network size increases due to limited… Read more |
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Toward a More Robust and Efficient Usability Testing Method of Clinical Decision Support for Nurses Derived from Nursing Electronic Health Record Data
Alessandro Febretti, Andrew Johnson June 1, 2016 PURPOSE To develop methods for rapid and simultaneous design, testing, and management of multiple clinical decision support (CDS) features to aid… Read more |
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Interdisciplinary Immersive Analytics at the Electronic Visualization Laboratory: Lessons Learned and Upcoming Challenges
Andrew Johnson, Angus Forbes, G. Elisabeta Marai March 19, 2016 - March 23, 2016 We describe the lessons learned from three recent Immersive Analytics projects which take place at the Electronic Visualization Lab. These successful… Read more |
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Intrinsic Geometry Visualization for the Interactive Analysis of Brain Connectivity Patterns
Angus Forbes, Kyle Almryde February 16, 2016 Understanding how brain regions are interconnected is an important topic within the domain of neuroimaging. Advances in non-invasive technologies… Read more |
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SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networks
Angus Forbes, Chihua Ma, Robert V. Kenyon January 1, 2016 Study of the behavior of individual members in communities of dynamic networks can help neuroscientists to understand how interactions between… Read more |
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Choosing Visualization Techniques for Multidimensional Data Projection Tasks: A Guideline with Examples
Angus Forbes January 1, 2016 This paper presents a guideline for visualization designers who want to choose appropriate techniques for enhancing tasks involving multidimensional… Read more |
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Visual Descriptors for Dense Tensor Fields in Computational Turbulent Combustion: A Case Study
G. Elisabeta Marai, Timothy Luciani January 1, 2016 Simulation and modeling of turbulent flow, and of turbulent reacting flow in particular, involve solving for and analyzing time-dependent and… Read more |
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“Show me data” Observational study of a conversational interface in visual data exploration
Andrew Johnson, Jason Leigh, Jillian Aurisano, Khairi Reda October 25, 2015 - October 30, 2015 A natural language interface to visual data exploration would allow a user to directly specify questions through speech, allowing the user to focus… Read more |
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Augmenting EHR Interfaces for Enhanced Nurse Communication and Decision Making
Angus Forbes October 25, 2015 The use of electronic health records (EHRs) in clinical environments provides new opportunities for nurses to integrate data analyses into their… Read more |
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Halos in a Dark Sky: Interactively Exploring the Structure of Dark Matter Halo Merger Trees
Angus Forbes, Kyle Almryde October 25, 2015 - October 30, 2015 This paper introduces a novel web application that visualizes dark matter halo merger trees and their evolution through space and time. Our… Read more |
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The intrinsic geometry of the human brain connectome
Angus Forbes, Galen Thomas-Ramos October 22, 2015 This paper describes novel methods for constructing the intrinsic geometry of the human brain connectome using dimensionality-reduction techniques… Read more |
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ProvenanceMatrix: A Visualization Tool for Multi-Taxonomy Alignments
Angus Forbes, Tuan Dang October 11, 2015 Visualizing and analyzing the relationships between taxonomic entities represented in multiple input classifications is both challenging and required… Read more |
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Density-based motion
Angus Forbes October 7, 2015 A common strategy for encoding multidimensional data for visual analysis is to use dimensionality reduction techniques that project data from higher… Read more |
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Use of Simulation to Study Nurses’ Acceptance and Nonacceptance of Clinical Decision Support Suggestions
Alessandro Febretti, Andrew Johnson October 1, 2015 Our long-term goal is to ensure nurse clinical decision support (CDS) works as intended before full deployment in clinical practice. As part of a… Read more |
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Designing and Evaluating Scientific Workflows for Big Data Interactions
Angus Forbes, Paul Murray September 22, 2015 - September 25, 2015 This paper explores the specialized nature of research-oriented web applications that enable interactions with and the visual analysis of “Big… Read more |
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BRAINtrinsic: A Virtual Reality-Compatible Tool for Exploring Intrinsic Topologies of the Human Brain Connectome
Angus Forbes August 30, 2015 - September 2, 2015 Thanks to advances in non-invasive technologies such as functional Magnetic Resonance Imaging (fMRI) and Diffusion Tensor Imaging (DTI)… Read more |
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TurbulentWorld: An Artwork Indicating the Impact of Climate Change
Angus Forbes August 14, 2015 - August 19, 2015 This paper describes an artwork created in response to a question about the role of the artist in communicating climate change issues. The artwork… Read more |
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Nurses’ Numeracy and Graphical Literacy: Informing Studies of Clinical Decision Support Interfaces
Alessandro Febretti, Andrew Johnson August 1, 2015 We present findings of a comparative study of numeracy and graph literacy in a representative group of 60 practicing nurses. The paper focuses on a… Read more |
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ReactionFlow: An Interactive Visualization Tool for Causality Analysis in Biological Pathways
Angus Forbes, Jillian Aurisano, Tuan Dang July 10, 2015 - July 11, 2015 Background: Molecular and systems biologists are tasked with the comprehension and analysis of incredibly complex networks of biochemical… Read more |
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PathwayMatrix: Visualizing Binary Relationships between Proteins in Biological Pathways
Angus Forbes, Paul Murray, Tuan Dang July 10, 2015 - July 11, 2015 Background: Molecular activation pathways are inherently complex, and understanding relations across many biochemical reactions and reaction types is… Read more |
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Extended LineSets: A visualization technique for the interactive inspection of biological pathways
Angus Forbes July 10, 2015 - July 11, 2015 Background: Biologists make use of pathway visualization tools for a range of tasks, including investigating inter-pathway connectivity and… Read more |
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PICU Nurses’ Pain Assessments And Intervention Choices for Virtual Human And Written Vignettes
Andrew Johnson July 1, 2015 - August 1, 2015 The purpose of this concurrent mixed-methods study was to 1) examine the factors pediatric intensive care unit nurses consider when assessing and… Read more |
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Visual Scaffolding in Integrated Spatial and Nonspatial Analysis
G. Elisabeta Marai May 25, 2015 - May 29, 2015 Collaborative visual analytics that feature mixtures of spatial and nonspatial data occur across disciplines, and are particularly common in… Read more |
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Visualizing Dynamic Brain Networks Using an Animated Dual-Representation
Angus Forbes, Chihua Ma, Robert V. Kenyon May 4, 2015 - May 8, 2015 Dynamic network visualization has been a challenging topic for dynamic networks analysis, especially for spatially embedded networks like brain… Read more |
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Multiuser-Centered Resource Scheduling for Collaborative Display Wall Environments
Andrew Johnson, Jason Leigh, Khairi Reda, Luc Renambot, Sungwon Nam April 1, 2015 The popularity of large-scale, high-resolution display walls, as visualization endpoints in eScience infrastructure, is rapidly growing. These… Read more |
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A user-centric taxonomy for multidimensional data projection tasks
Angus Forbes March 11, 2015 - March 14, 2015 When investigating multidimensional data sets with very large numbers of objects and/or a very large number of dimensions, a variety of visualization… Read more |
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Generation of Engineering Research Directions through Artistic Process
Angus Forbes November 10, 2014 - November 12, 2014 This paper describes the creation of SwarmVision, a system of autonomous robotic cameras that functions both as the basis for an art installation and… Read more |
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User-Driven Predictive Visual Analytics on Multivariate, Spatio-Temporal Incident Reports
Jillian Aurisano November 9, 2014 In this paper, we develop and implement approaches to user-driven predictive visual analytics on multivariate, spatio-temporal incident reporting… Read more |
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MOSBIE: A Tool for Comparison and Analysis of Rule-Based Biochemical Models
G. Elisabeta Marai January 1, 2014 Background: Mechanistic models that describe the dynamical behaviors of biochemical systems are common in computational systems biology, especially… Read more |
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Visualization of Tensor Quantities Used in Computational Turbulent Combustion
G. Elisabeta Marai, Timothy Luciani November 24, 2013 - November 26, 2013 Simulation and modeling of turbulent flow, and of turbulent reacting flow in particular, involves solving for and analyzing time-dependent and… Read more |
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Fixing TIM: Identifying Functional Mutations in Protein Families through the Interactive Exploration of Sequence and Structural Data
G. Elisabeta Marai, Timothy Luciani October 13, 2013 - October 14, 2013 We present the design and implementation of a visual mining and analysis tool to help identify protein mutations across family structural models, and… Read more |
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GRACE: A Visual Comparison Framework for Integrated Spatial and Non-Spatial Geriatric Data
G. Elisabeta Marai October 1, 2013 We present the design of a novel framework for the visual integration, comparison, and exploration of correlations in spatial and non-spatial… Read more |
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Data Mining Nursing Care Plans of End of Life Patients: A Case Study to Improve Healthcare Decision Making
Andrew Johnson February 1, 2013 Pain management of end of life patients (EOL) (n=596 episodes) is examined using statistical and data mining processes of the HANDS database of care… Read more |
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A Novel Method for Tracking Tensor-based Regions of Interest in Large-Scale, Spatially-Dense Turbulent Combustion Data
G. Elisabeta Marai, Timothy Luciani October 1, 2012 In visualization of tensor data associated with turbulent combustion simulations, the datasets we have to process and visualize are typically… Read more |
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Maintaining a consistent big picture: Meaningful Use of a Web-based POC EHR System
Andrew Johnson October 1, 2012 Objective: To test the hypothesis that Hands-on Automated Nursing Data System (HANDS) “big picture summary” can be implemented uniformly… Read more |
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Current State of Pain Care for Hospitalized Patients at End of Life
Andrew Johnson May 1, 2012 We report findings on the current state of pain care in hospitals for end-of-life (EOL) patients using longitudinal data from eight diverse… Read more |
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Interactive Exploration of Stress Tensors Used in Computational Turbulent Combustion
G. Elisabeta Marai January 1, 2012 Simulation and modeling of turbulent flow, and of turbulent reacting flow in particular, involves solving for and analyzing time-dependent and… Read more |
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RuleBender: integrated modeling, simulation and visualization for rule-based intracellular biochemistry
G. Elisabeta Marai October 23, 2011 - October 24, 2011 Background: Rule-based modeling (RBM) is a powerful and increasingly popular approach to modeling cell signaling networks. However, novel visual… Read more |
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Tensor Visualization in Computational Turbulent Combustion: A Case Study
G. Elisabeta Marai October 1, 2010 Simulation and modeling of turbulent flow involve solving for and analyzing time-dependent and spatially dense tensor quantities, such as turbulent… Read more |
