|
|
|||||||||||||||||
 |
Research Infrastructure: MRI: Track 2 Acquisition of Data Observation and Computation Collaboratory (DOCC)
Andrew Johnson, Dana M. Plepys, Daniel J. Sandin, Fabio Miranda, G. Elisabeta Marai, Jonas Talandis, Lance Long, Luc Renambot, Michael E. Papka, Nikita Nandish Soni October 1, 2023 - September 30, 2026 The Data Observation and Computation Collaboratory (DOCC, ’dock’) is a visual data science instrument for University of Illinois Chicago… Read more |
 |
Enhancing biomedical search interfaces with images
G. Elisabeta Marai, Juan Trelles Trabucco August 31, 2023 Searching for scientific documents is a pervasive task among researchers. While most academic search engines, such as Google Scholar, search over… Read more |
 |
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, Abdallah Sherif Radwan Mohamed, Mohamed A Naser, Lisanne V Van Dijk, Katherine Hutcheson, Amy M Moreno, Clifton D Fuller, Guadalupe Canahuate July 17, 2023 Advanced radiotherapy treatments for Oropharyngeal cancer have improved patient survival rates, although they lead to understudied long-term… Read more |
 |
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, A. Mohamed, C.D. Fuller, G. Canahuate January 1, 2023 We present an interactive analysis system to support sequential rule mining (SRM) model builders who work in cancer symptom research. SRM is a… Read more |
 |
COVID-19 EnsembleVis: Visual Analysis of County-level Ensemble Forecast Models
Fabio Miranda, G. Elisabeta Marai, Sanjana Srabanti May 16, 2021 - Ongoing The COVID-19 pandemic has upended the world over the past year, in a health crisis not seen since the 1918 flu pandemic. As of July 2021, the disease… Read more |
 |
DASS
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, G. Canahuate (Universite of Iowa,); M. Naser, A. Mohamed, C.D. Fuller, L. Van Dijk (MD Anderson Cancer Center, University of Texas) March 1, 2021 - Ongoing DASS is a visual computing system designed to help scientists build machine learning models that classify head and neck cancer patients into groups… Read more |
 |
Longitudinal Spatial-Nonspatial Decision Support for Competing Outcomes in Head and Neck Cancer Therapy
G. Elisabeta Marai, Xinhua Zhang (UIC); Guadalupe Canahuate (UIA); Dave Fuller (MDACC) March 1, 2021 - February 28, 2026 Cancers that depend on the spatial location of the disease affect all ethnicities, and are diagnosed each year in large numbers in the United States… Read more |
 |
High-performance computing and data-driven modeling of aircraft contrails
G. Elisabeta Marai, Jonathan Vega, Md Nafiul Alam Nipu, Roberto Paoli (PI, UIC MIE) July 1, 2019 - June 30, 2023 In this project, a novel computational method to model the evolution of aircraft contrail (ice particles forming in aircraft engine’s exhaust)… Read more |
 |
COMPaaS DLV: Composable Platform as a Service Instrument for Deep Learning & Visualization
Andrew Johnson, G. Elisabeta Marai, Lance Long, Luc Renambot, Maxine Brown, Mir Masood Ali, Timothy Bargo, Wei Tang, Zhongyi Chen October 1, 2018 - September 30, 2021 Project Period: October 1, 2018 - September 30, 2021 September 9, 2018 - The National Science Foundation (NSF) awarded a three-year grant to the UIC… Read more |
 |
Incorporating Image-based Features into Biomedical Document Classification
G. Elisabeta Marai, Juan Trelles Trabucco, UIC PI: G.E. Marai University of Delaware PI: H. Shatkay Co-PIs: C. Arighi, C. Kambhamettu, C. Wu September 14, 2017 - August 31, 2021 This collaborative research project led by the colleagues at the University of Delaware aims to develop and advance tools for using image-data… Read more |
|
QuBBD: Precision E-Radiomics for Dynamic Big Head & Neck Cancer Data
Chihua Ma, Elisa Tardini, G. Elisabeta Marai, Peter Hanula, Sanjana Srabanti, Grant PI: Georgeta-Elisabeta Marai (UIC); Guadalupe Canahuate (University of Iowa); Clifton David Fuller (MD Anderson Cancer Center); David M. Vock (University of Minnesota) September 1, 2017 - August 31, 2020 Cancer treatment courses which rely on imaging and spatially-dependent therapy involve making multiple treatment decisions (e.g., radiotherapy alone… Read more |
 |
Exploring Chicago
G. Elisabeta Marai, Manu Mathew Thomas, Jakob Eriksson May 16, 2017 - Ongoing Exploring big cities like Chicago can be a daunting experience when the tourist has to gather information from multiple sources regarding places… Read more |
 |
Englewood Social Service Finder and Englewood Analytics
Andrew Burks, G. Elisabeta Marai, Joshua Lagunda Castor, Isabel Lindmae, Jaspreet Kaur Sohal May 16, 2017 - Ongoing The Englewood Data Hub (EDH) is a project that brings together both crowdsourced and public data surrounding the Englewood area into a single place… Read more |
|
SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment
Andrew Wentzel, Chihua Ma, Elisa Tardini, G. Elisabeta Marai, Sanjana Srabanti, Timothy Luciani, Grant PI: Georgeta-Elisabeta Marai (UIC); Guadalupe Canahuate (University of Iowa); Clifton David Fuller (MD Anderson Cancer Center); David M. Vock (University of Minnesota) March 3, 2017 - February 29, 2020 Head and neck squamous carcinomas affect all ethnicities and age groups, accounting for significant mortality and therapy-related side effects. Over… Read more |
 |
MRI - Development of Continuum: A Virtualized Attentive Environment for Amplified Collaboration
Andrew Johnson, Debaleena Chattopadhyay, G. Elisabeta Marai, Jack O'Donnell, Jillian Aurisano, Joe Borowicz, Jonas Talandis, Kayla Condrella, Kenan Arica, Lance Long, Luc Renambot, Maxine Brown, Michael Avendano, Navya Reddy, Robert V. Kenyon, Sumayya Siddiqui, Szymon Popowski, Vijayraj Mahida, Barbara DiEugenio October 1, 2016 - September 30, 2019 Just as NSF cyberinfrastructure produces greater volumes and varieties of data from data storage systems, online instrumentation and major… Read more |
 |
Interactive Exploration and Tracking of Viscous Fingers in Large-Scale Ensemble Simulations
Andrew Burks, Cassiano Sugiyama, G. Elisabeta Marai, Timothy Luciani May 16, 2016 - August 15, 2016 The visualization of aleatoric uncertainty in ensemble simulations - i.e. the study of high concentrations in mixtures - provides many challenges due… Read more |
 |
MOSBIE: A Tool for Comparison and Analysis of Rule-Based Biochemical Models
G. Elisabeta Marai, John R. Wenskovitch, Leonard A. Harris, Jose-Juan Tapia, James R. Faeder February 1, 2013 - January 31, 2015 Mechanistic models that describe the dynamical behaviors of biochemical systems are common in computational systems biology, especially in the realm… Read more |
 |
FixingTIM: Interactive Exploration of Sequence and Structural Data to Identify Functional Mutations in Protein Families
G. Elisabeta Marai, Timothy Luciani, J. Wenskovitch, K. Chen, D. Koes, T. Travers January 1, 2013 - December 31, 2019 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 |
|
RuleBender: Rule Based Modeling and Simulation with RuleBender
G. Elisabeta Marai, A.M. Smith, W. Xu, Y. Sun, J.R. Faeder February 1, 2010 - January 31, 2015 Modern biological experiments generate large amounts of data describing intracellular dynamics. Rule-based languages for describing intracellular… Read more |
 |
Astroshelf: Panning and Zooming the Observable Universe
G. Elisabeta Marai, Timothy Luciani, B. Cherinka, P. Chrysanthis, A. Conn, R. Hachey, M. Liegey, S. Myers, J. Newman, D. Oliphant, M. Seiler, M. Wood-Vasey January 1, 2010 - Ongoing The growing onslaught of astronomical data available presents a great challenge. Astronomy lacks an easy-to-use and scalable way to collect and… Read more |
 |
Predictive Computational Models for Orthopaedics
G. Elisabeta Marai, M. A. Haque January 1, 2010 - Ongoing We developed a framework for integrating measured data - such as medical images, tracked motion, and anatomy-book knowledge - into the… Read more |
 |
Visual Analysis for Tensors in Computational Turbulent Combustion
G. Elisabeta Marai, Timothy Luciani, P. Givi, M.A. Haque, A. Maries, M. Nik, P. Pisciuneri, S. L. Yilmaz January 1, 2010 - Ongoing Simulation and modeling of turbulent flow, and of turbulent reacting flowin particular, involves solving for and analyzing time-dependent and… Read more |
 |
Image-based Measurements and Models
G. Elisabeta Marai January 1, 2001 - Ongoing With appropriate tools, models of small structures that are currently not measurable directly can be inferred from medical image data. We introduced… Read more |
