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Inga Strümke

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Scientific Reports|December 22, 2023

Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunctionAndrea M Storås, Fredrik Fineide, Morten Magnø, et al.

Diagnostics (Basel, Switzerland)|July 29, 2023

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram AnalysisAndrea M Storås, Ole Emil Andersen, Sam Lockhart, et al.

PLOS Digital Health|February 22, 2023

To explain or not to explain?-Artificial intelligence explainability in clinical decision support systemsJulia Amann, Dennis Vetter, Stig Nikolaj Blomberg, et al.

Scientific Reports|May 27, 2021

Explaining deep neural networks for knowledge discovery in electrocardiogram analysisSteven A Hicks, Jonas L Isaksen, Vajira Thambawita, et al.

Scientific Reports|November 10, 2021

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicineVajira Thambawita, Jonas L Isaksen, Steven A Hicks, et al.

Pageof 2

Search research articles

Showing results (11-20 of 15) with videos related to

Sort By:

Pageof 2

You have reached the last page of results.This site can display upto 15 results.

Scientific Reports|December 22, 2023

Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunctionAndrea M Storås, Fredrik Fineide, Morten Magnø, et al.

Diagnostics (Basel, Switzerland)|July 29, 2023

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram AnalysisAndrea M Storås, Ole Emil Andersen, Sam Lockhart, et al.

PLOS Digital Health|February 22, 2023

To explain or not to explain?-Artificial intelligence explainability in clinical decision support systemsJulia Amann, Dennis Vetter, Stig Nikolaj Blomberg, et al.

Scientific Reports|May 27, 2021

Explaining deep neural networks for knowledge discovery in electrocardiogram analysisSteven A Hicks, Jonas L Isaksen, Vajira Thambawita, et al.

Scientific Reports|November 10, 2021

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicineVajira Thambawita, Jonas L Isaksen, Steven A Hicks, et al.

Pageof 2