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Frederick Klauschen

xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer

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Nov 12, 2024
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AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics

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Jun 21, 2024
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xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

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Jun 06, 2024
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RudolfV: A Foundation Model by Pathologists for Pathologists

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Jan 23, 2024
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DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

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Jun 23, 2023
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Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides

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Feb 03, 2023
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Explaining Bayesian Neural Networks

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Aug 23, 2021
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Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

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Aug 15, 2019
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Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles

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May 28, 2018
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