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Proceedings of Machine Learning Research|July 11, 2024
EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare SettingsEric 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 SupportEric 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 ApproachEric W Prince, Todd C Hankinson, Carsten Görg
Diagnostics (Basel, Switzerland)|March 29, 2023
Uncertainty-Aware Deep Learning Classification of Adamantinomatous Craniopharyngioma from Preoperative MRIEric 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 tumorsEric W Prince, David M Mirsky, Todd C Hankinson, et al.
Neurosurgical Focus|January 3, 2020
Adamantinomatous craniopharyngioma: moving toward targeted therapiesAstrid C Hengartner, Eric Prince, Trinka Vijmasi, et al.
Child'S Nervous System : Chns : Official Journal of the International Society for Pediatric Neurosurgery|May 23, 2020
Adamantinomatous craniopharyngioma in the molecular age and the potential of targeted therapies: a reviewRos Whelan, Astrid Hengartner, Zach Folzenlogen, et al.
Statistics in Medicine|March 26, 2024
Model-agnostic explanations for survival prediction modelsKrithika Suresh, Carsten Görg, Debashis Ghosh
Advances and Technical Standards in Neurosurgery|September 17, 2024
Operative Adjuncts in Pediatric Brain Tumor Surgery with a Focus on Suprasellar TumorsMohammed Alshareef, Shadi Bsat, Todd C Hankinson
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