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Dorit Merhof

Showing results (31-40 of 99) with videos related to

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... IEEE International Conference on Computer Vision Workshops. IEEE International Conference on Computer Vision|February 1, 2024
Self-supervised Semantic Segmentation: Consistency over TransformationSanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Instance Segmentation of Nematode Cysts in Microscopic Images of Soil Samples<sup>.</sup>Long Chen, Martin Strauch, Matthias Daub, et al.
Frontiers in Plant Science|October 3, 2022
High-throughput phenotyping of nematode cystsLong Chen, Matthias Daub, Hans-Georg Luigs, et al.
Scientific Reports|July 31, 2020
Radiomics feature reproducibility under inter-rater variability in segmentations of CT imagesChristoph Haarburger, Gustav Müller-Franzes, Leon Weninger, et al.
Journal of Pathology Informatics|February 27, 2023
Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracyMaryam Berijanian, Nadine S Schaadt, Boqiang Huang, et al.
IEEE Transactions on Medical Imaging|February 15, 2019
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney HistologyMichael Gadermayr, Laxmi Gupta, Vitus Appel, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation<sup></sup>Long Chen, Martin Strauch, Matthias Daub, et al.
Computers in Biology and Medicine|October 2, 2017
Segmenting renal whole slide images virtually without training dataMichael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, et al.
Scientific Reports|November 17, 2021
Author Correction: Radiomics feature reproducibility under inter-rater variability in segmentations of CT imagesChristoph Haarburger, Gustav Müller-Franzes, Leon Weninger, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 10, 2019
Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networksMichael Gadermayr, Kexin Li, Madlaine Müller, et al.
Pageof 10

Showing results (31-40 of 99) with videos related to

Sort By:
Pageof 10
... IEEE International Conference on Computer Vision Workshops. IEEE International Conference on Computer Vision|February 1, 2024
Self-supervised Semantic Segmentation: Consistency over TransformationSanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Instance Segmentation of Nematode Cysts in Microscopic Images of Soil Samples<sup>.</sup>Long Chen, Martin Strauch, Matthias Daub, et al.
Frontiers in Plant Science|October 3, 2022
High-throughput phenotyping of nematode cystsLong Chen, Matthias Daub, Hans-Georg Luigs, et al.
Scientific Reports|July 31, 2020
Radiomics feature reproducibility under inter-rater variability in segmentations of CT imagesChristoph Haarburger, Gustav Müller-Franzes, Leon Weninger, et al.
Journal of Pathology Informatics|February 27, 2023
Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracyMaryam Berijanian, Nadine S Schaadt, Boqiang Huang, et al.
IEEE Transactions on Medical Imaging|February 15, 2019
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney HistologyMichael Gadermayr, Laxmi Gupta, Vitus Appel, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation<sup></sup>Long Chen, Martin Strauch, Matthias Daub, et al.
Computers in Biology and Medicine|October 2, 2017
Segmenting renal whole slide images virtually without training dataMichael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, et al.
Scientific Reports|November 17, 2021
Author Correction: Radiomics feature reproducibility under inter-rater variability in segmentations of CT imagesChristoph Haarburger, Gustav Müller-Franzes, Leon Weninger, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 10, 2019
Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networksMichael Gadermayr, Kexin Li, Madlaine Müller, et al.
Pageof 10