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BMC Bioinformatics
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April 29, 2014
Scientists' sense making when hypothesizing about disease mechanisms from expression data and their needs for visualization support
Barbara Mirel, Carsten Görg
Statistics in Medicine
|
March 26, 2024
Model-agnostic explanations for survival prediction models
Krithika Suresh, Carsten Görg, Debashis Ghosh
IEEE Transactions on Visualization and Computer Graphics
|
June 10, 2010
How Can Visual Analytics Assist Investigative Analysis? Design Implications from an Evaluation
Youn-Ah Kang, Carsten Görg, John Stasko
Proceedings of Machine Learning Research
|
July 11, 2024
EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings
Eric Prince, Todd C Hankinson, Carsten Görg
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 13, 2024
A Visual Analytics Framework for Assessing Interactive AI for Clinical Decision Support
Eric W Prince, Todd C Hankinson, Carsten Görg
... IEEE Workshop on Visual Analytics in Healthcare. IEEE Workshop on Visual Analytics in Healthcare
|
July 11, 2024
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
Immunotherapy
|
February 8, 2019
Visualizing microbiome-immune system interplay
Janet C Siebert, Carsten Görg, Brent Palmer, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
March 10, 2021
Semantic Changepoint Detection for Finding Potentially Novel Research Publications
Bhavish Dinakar, Mayla R Boguslav, Carsten Görg, et al.
Diagnostics (Basel, Switzerland)
|
March 29, 2023
Uncertainty-Aware Deep Learning Classification of Adamantinomatous Craniopharyngioma from Preoperative MRI
Eric W Prince, Debashis Ghosh, Carsten Görg, et al.
Frontiers in Radiology
|
January 28, 2025
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, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 26) with videos related to
Sort By:
Page
of 3
BMC Bioinformatics
|
April 29, 2014
Scientists' sense making when hypothesizing about disease mechanisms from expression data and their needs for visualization support
Barbara Mirel, Carsten Görg
Statistics in Medicine
|
March 26, 2024
Model-agnostic explanations for survival prediction models
Krithika Suresh, Carsten Görg, Debashis Ghosh
IEEE Transactions on Visualization and Computer Graphics
|
June 10, 2010
How Can Visual Analytics Assist Investigative Analysis? Design Implications from an Evaluation
Youn-Ah Kang, Carsten Görg, John Stasko
Proceedings of Machine Learning Research
|
July 11, 2024
EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings
Eric Prince, Todd C Hankinson, Carsten Görg
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 13, 2024
A Visual Analytics Framework for Assessing Interactive AI for Clinical Decision Support
Eric W Prince, Todd C Hankinson, Carsten Görg
... IEEE Workshop on Visual Analytics in Healthcare. IEEE Workshop on Visual Analytics in Healthcare
|
July 11, 2024
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
Immunotherapy
|
February 8, 2019
Visualizing microbiome-immune system interplay
Janet C Siebert, Carsten Görg, Brent Palmer, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
March 10, 2021
Semantic Changepoint Detection for Finding Potentially Novel Research Publications
Bhavish Dinakar, Mayla R Boguslav, Carsten Görg, et al.
Diagnostics (Basel, Switzerland)
|
March 29, 2023
Uncertainty-Aware Deep Learning Classification of Adamantinomatous Craniopharyngioma from Preoperative MRI
Eric W Prince, Debashis Ghosh, Carsten Görg, et al.
Frontiers in Radiology
|
January 28, 2025
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, et al.
Page
of 3