Publications by authors named "Carsten Gorg"

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Bridging Network Science and Vision Science: Mapping Perceptual Mechanisms to Network Visualization Tasks.
S Sandra Bae, Kyle Cave, Carsten Gorg, Paul Rosen, Danielle Albers Szafir

IEEE Trans Vis Comput Graph· October 2025

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Impact of AI Decision Support on Clinical Experts' Radiographic Interpretation of Adamantinomatous Craniopharyngioma.
Eric W Prince, David M Mirsky, Todd C Hankinson, Carsten Görg

AMIA Annu Symp Proc· May 2025

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Investigation of Cranial Bone Changes Indicative of Increased Intracranial Pressure in Diverse Phenotypes of Craniosynostosis.
Jasmine Chaij, Jiawei Liu, Brooke French, David Mirsky, Randy C Miles

Plast Reconstr Surg Glob Open· March 2025

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Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors.
Eric W Prince, David M Mirsky, Todd C Hankinson, Carsten Görg

Front Radiol· January 2025

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A Visual Analytics Framework for Assessing Interactive AI for Clinical Decision Support.
Eric W Prince, Todd C Hankinson, Carsten Görg

Pac Symp Biocomput· December 2024

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SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis.
Carsten Görg, Connor Elkhill, Jasmine Chaij, Kristin Royalty, Phuong D Nguyen

Comput Graph· December 2024

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Model-agnostic explanations for survival prediction models.
Krithika Suresh, Carsten Görg, Debashis Ghosh

Stat Med· May 2024

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The Iterative Design Process of an Explainable AI Application for Non-Invasive Diagnosis of CNS Tumors: A User-Centered Approach.
Eric W Prince, Todd C Hankinson, Carsten Görg

IEEE Workshop Vis Anal Healthc· October 2023

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EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings.
Eric Prince, Todd C Hankinson, Carsten Görg

Proc Mach Learn Res· August 2023

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Uncertainty-Aware Deep Learning Classification of Adamantinomatous Craniopharyngioma from Preoperative MRI.
Eric W Prince, Debashis Ghosh, Carsten Görg, Todd C Hankinson

Diagnostics (Basel)· March 2023

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A Pipeline for the Implementation and Visualization of Explainable Machine Learning for Medical Imaging Using Radiomics Features.
Cameron Severn, Krithika Suresh, Carsten Görg, Yoon Seong Choi, Rajan Jain

Sensors (Basel)· July 2022

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Restoring invisible and abandoned trials of gabapentin for neuropathic pain: a clinical and methodological investigation.
Evan Mayo-Wilson, Xiwei Chen, Riaz Qureshi, Stephanie Dickinson, Lilian Golzarri-Arroyo

BMJ Open· June 2021

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Multiomic Predictors of Short-Term Weight Loss and Clinical Outcomes During a Behavioral-Based Weight Loss Intervention.
Janet C Siebert, Maggie A Stanislawski, Adnin Zaman, Danielle M Ostendorf, Iain R Konigsberg

Obesity (Silver Spring)· May 2021

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Semantic Changepoint Detection for Finding Potentially Novel Research Publications.
Bhavish Dinakar, Mayla R Boguslav, Carsten Görg, Deendayal Dinakarpandian

Pac Symp Biocomput· March 2021

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CANTARE: finding and visualizing network-based multi-omic predictive models.
Janet C Siebert, Martine Saint-Cyr, Sarah J Borengasser, Brandie D Wagner, Catherine A Lozupone

BMC Bioinformatics· February 2021

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HIV Infection Is Associated with Loss of Anti-Inflammatory Alveolar Macrophages.
Charles Preston Neff, Shaikh M Atif, Eric C Logue, Janet Siebert, Carsten Görg

J Immunol· November 2020

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ML-MEDIC: A Preliminary Study of an Interactive Visual Analysis Tool Facilitating Clinical Applications of Machine Learning for Precision Medicine.
Laura Stevens, David Kao, Jennifer Hall, Carsten Görg, Kaitlyn Abdo

Appl Sci (Basel)· May 2020

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VOLARE: visual analysis of disease-associated microbiome-immune system interplay.
Janet C Siebert, Charles Preston Neff, Jennifer M Schneider, Emilie H Regner, Neha Ohri

BMC Bioinformatics· August 2019

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Visualizing microbiome-immune system interplay.
Janet C Siebert, Carsten Görg, Brent Palmer, Catherine Lozupone

Immunotherapy· February 2019

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Functional intraepithelial lymphocyte changes in inflammatory bowel disease and spondyloarthritis have disease specific correlations with intestinal microbiota.
Emilie H Regner, Neha Ohri, Andrew Stahly, Mark E Gerich, Blair P Fennimore

Arthritis Res Ther· July 2018

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Phenotype-Specific Association of Single-Nucleotide Polymorphisms with Heart Failure and Preserved Ejection Fraction: a Genome-Wide Association Analysis of the Cardiovascular Health Study.
David P Kao, Laura M Stevens, Michael A Hinterberg, Carsten Görg

J Cardiovasc Transl Res· June 2017

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Peax: interactive visual analysis and exploration of complex clinical phenotype and gene expression association.
Michael A Hinterberg, David P Kao, Michael R Bristow, Lawrence E Hunter, J David Port

Pac Symp Biocomput· April 2016

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Training the next generation of quantitative biologists in the era of big data.
Kristine A Pattin, Anna C Greene, Russ B Altman, Kevin B Cohen, Elizabeth Wethington

Pac Symp Biocomput· April 2016

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Ontologies in biological data visualization.
Sheelagh Carpendale, Min Chen, Daniel Evanko, Nils Gehlenborg, Carsten Gorg

IEEE Comput Graph Appl· October 2015

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Visual analysis of biological data-knowledge networks.
Corinna Vehlow, David P Kao, Michael R Bristow, Lawrence E Hunter, Daniel Weiskopf

BMC Bioinformatics· April 2015

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