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Extracting Explainable Assessments of Alzheimer's disease via Machine Learning on brain MRI imaging data.

, , , , , and . BIBE, page 1036-1041. IEEE, (2020)

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A Comparative Study of Explainable AI models in the Assessment of Multiple Sclerosis., , , , , and . CAIP (2), volume 14185 of Lecture Notes in Computer Science, page 140-148. Springer, (2023)Model Agnostic Explainability Techniques in Ultrasound Image Analysis., , , , , and . BIBE, page 1-6. IEEE, (2021)Explainable AI applications in the Medical Domain: a systematic review., , and . CoRR, (2023)Extracting Explainable Assessments of Alzheimer's disease via Machine Learning on brain MRI imaging data., , , , , and . BIBE, page 1036-1041. IEEE, (2020)Argumentation-based Explainable Machine Learning ArgEML: α-Version Technical Details.. xAI (Late-breaking Work, Demos, Doctoral Consortium), volume 3554 of CEUR Workshop Proceedings, page 158-163. CEUR-WS.org, (2023)Argumentation-based Explainable Machine Learning (ArgEML): a Real-life Use Case on Gynecological Cancer., , , and . ArgML@COMMA, volume 3208 of CEUR Workshop Proceedings, page 1-13. CEUR-WS.org, (2022)Explainable Machine Learning via Argumentation., , and . xAI (3), volume 1903 of Communications in Computer and Information Science, page 371-398. Springer, (2023)Integrating Machine Learning with Symbolic Reasoning to Build an Explainable AI Model for Stroke Prediction., , , , and . BIBE, page 817-821. IEEE, (2019)