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Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome.

, , , , и . Bildverarbeitung für die Medizin, стр. 177-182. Springer, (2023)

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Bernhard Mühlberg

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Deep Metamemory - A Generic Framework for Stabilized One-Shot Confidence Estimation in Deep Neural Networks and its Application on Colorectal Cancer Liver Metastases Growth Prediction., , , , и . ISBI, стр. 1298-1302. IEEE, (2019)Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome., , , , и . Bildverarbeitung für die Medizin, стр. 177-182. Springer, (2023)TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment., , , , , и . IJCNN, стр. 1-8. IEEE, (2018)Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model., , , , , , , и . PRIME@MICCAI, том 11843 из Lecture Notes in Computer Science, стр. 73-80. Springer, (2019)Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression., , , , , , , , , и 2 other автор(ы). ISBI, стр. 1-5. IEEE, (2023)Appearance-based Debiasing of Deep Learning Models in Medical Imaging., , , , и . Bildverarbeitung für die Medizin, стр. 19-24. Springer, (2024)CAS3D: 3D quantitative morphometry on Second Harmonic Generation image volumes from single skeletal muscle fibers., , , , , , , , , и 1 other автор(ы). Comput. Biol. Medicine, (2024)