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Classification of Oncology Treatment Responses from French Radiology Reports with Supervised Machine Learning.

, , , , , , , , , и . MIE, том 294 из Studies in Health Technology and Informatics, стр. 849-853. IOS Press, (2022)

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Hugues Lantuit

Olivier Hugues

Andreas Turberg

Henrik Turbell

Rudolf Turber

 

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A Lightweight and Interpretable Model to Classify Bundle Branch Blocks from ECG Signals., , , , , , , и . MIE, том 294 из Studies in Health Technology and Informatics, стр. 43-47. IOS Press, (2022)Performance of Machine Learning Methods to Classify French Medical Publications., , , , , , , и . MIE, том 294 из Studies in Health Technology and Informatics, стр. 874-875. IOS Press, (2022)Communicating on Multivariate and Geospatial Data supported by ergonomics criteria: COVID-19 case., , , , и . VAHC, стр. 4-16. IEEE, (2020)Deep SNOMED CT Enabled Large Clinical Database About COVID-19., , , , , и . MIE, том 294 из Studies in Health Technology and Informatics, стр. 317-321. IOS Press, (2022)Classification of Oncology Treatment Responses from French Radiology Reports with Supervised Machine Learning., , , , , , , , , и . MIE, том 294 из Studies in Health Technology and Informatics, стр. 849-853. IOS Press, (2022)ProtoS-ViT: Visual foundation models for sparse self-explainable classifications., , , и . CoRR, (2024)Revisiting the robustness of post-hoc interpretability methods., , и . CoRR, (2024)