Miriam Hägele
According to our database1,
Miriam Hägele
authored at least 8 papers
between 2015 and 2023.
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Bibliography
2023
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides.
CoRR, 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Advancing computer vision algorithms to overcome challenges in computational pathology
PhD thesis, 2022
2021
Morphological and molecular breast cancer profiling through explainable machine learning.
Nat. Mach. Intell., 2021
2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.
CoRR, 2019
2018
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles.
CoRR, 2018
2015
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015