Search Results - "Schaadt, Nadine S"

Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning by Hermsen, Meyke, Volk, Valery, Bräsen, Jan Hinrich, Geijs, Daan J., Gwinner, Wilfried, Kers, Jesper, Linmans, Jasper, Schaadt, Nadine S., Schmitz, Jessica, Steenbergen, Eric J., Swiderska-Chadaj, Zaneta, Smeets, Bart, Hilbrands, Luuk B., Feuerhake, Friedrich, van der Laak, Jeroen A.W.M.

“…Delayed graft function (DGF) is a strong risk factor for development of interstitial fibrosis and tubular atrophy (IFTA) in kidney transplants. Quantitative…”
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Task design for crowdsourced glioma cell annotation in microscopy images by Schwarze, Svea, Schaadt, Nadine S., Sobotta, Viktor M. G., Spicher, Nicolai, Skripuletz, Thomas, Esmaeilzadeh, Majid, Krauss, Joachim K., Hartmann, Christian, Deserno, Thomas M., Feuerhake, Friedrich

“…Crowdsourcing has been used in computational pathology to generate cell and cell nuclei annotations for machine learning. Herein, we broaden its scope to the…”
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Graph-based description of tertiary lymphoid organs at single-cell level by Schaadt, Nadine S, Schönmeyer, Ralf, Forestier, Germain, Brieu, Nicolas, Braubach, Peter, Nekolla, Katharina, Meyer-Hermann, Michael, Feuerhake, Friedrich

“…Our aim is to complement observer-dependent approaches of immune cell evaluation in microscopy images with reproducible measures for spatial composition of…”
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Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy by Berijanian, Maryam, Schaadt, Nadine S., Huang, Boqiang, Lotz, Johannes, Feuerhake, Friedrich, Merhof, Dorit

“…Deep learning tasks, which require large numbers of images, are widely applied in digital pathology. This poses challenges especially for supervised tasks…”
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Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students by Grote, Anne, Schaadt, Nadine S., Forestier, Germain, Wemmert, Cedric, Feuerhake, Friedrich

“…Crowdsourcing in pathology has been performed on tasks that are assumed to be manageable by nonexperts. Demand remains high for annotations of more complex…”
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Classifying Substrate Specificities of Membrane Transporters from Arabidopsis thaliana by Schaadt, Nadine S, Christoph, Jan, Helms, Volkhard

“…Membrane transporters catalyze the active transport of molecules across biological barriers such as lipid bilayer membranes. Currently, the experimental…”
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Detection of lobular structures in normal breast tissue by Apou, Grégory, Schaadt, Nadine S, Naegel, Benoît, Forestier, Germain, Schönmeyer, Ralf, Feuerhake, Friedrich, Grote, Anne

“…Abstract Background: Ongoing research into inflammatory conditions raises an increasing need to evaluate immune cells in histological sections in biologically…”
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Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review by Redlich, Jan-Philipp, Feuerhake, Friedrich, Weis, Joachim, Schaadt, Nadine S., Teuber-Hanselmann, Sarah, Buck, Christoph, Luttmann, Sabine, Eberle, Andrea, Nikolin, Stefan, Appenzeller, Arno, Portmann, Andreas, Homeyer, André

“…In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of glioma histopathology images using artificial intelligence (AI) offers…”
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Image analysis of immune cell patterns in the human mammary gland during the menstrual cycle refines lymphocytic lobulitis by Schaadt, Nadine S., Alfonso, Juan Carlos López, Schönmeyer, Ralf, Grote, Anne, Forestier, Germain, Wemmert, Cédric, Krönke, Nicole, Stoeckelhuber, Mechthild, Kreipe, Hans H., Hatzikirou, Haralampos, Feuerhake, Friedrich

“…Purpose To improve microscopic evaluation of immune cells relevant in breast cancer oncoimmunology, we aim at distinguishing normal infiltration patterns from…”
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Rule-based regulatory and metabolic model for Quorum sensing in P. aeruginosa by Schaadt, Nadine S, Steinbach, Anke, Hartmann, Rolf W, Helms, Volkhard

“…In the pathogen P. aeruginosa, the formation of virulence factors is regulated via Quorum sensing signaling pathways. Due to the increasing number of strains…”
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Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation by Huang, Boqiang, Ying, Jiayu, Lyu, Ruizhi, Schaadt, Nadine S., Klinkhammer, Barbara M., Boor, Peter, Lotz, Johannes, Feuerhake, Friedrich, Merhof, Dorit

“…In medical image segmentation tasks, Convolutional Neural Networks (CNNs) have become an efficient and successful solution, although they have limitations in…”
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Classifying Substrate Specificities of Membrane Transporters from Arabidopsis Thaliana by Schaadt, Nadine S., Christoph, Jan, Helms, Volkhard

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In-silico insights on the prognostic potential of immune cell infiltration patterns in the breast lobular epithelium by Alfonso, J. C. L., Schaadt, N. S., Schönmeyer, R., Brieu, N., Forestier, G., Wemmert, C., Feuerhake, F., Hatzikirou, H.

“…Scattered inflammatory cells are commonly observed in mammary gland tissue, most likely in response to normal cell turnover by proliferation and apoptosis, or…”
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Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning by Hermsen, Meyke, Volk, Valery, Bräsen, Jan Hinrich, Geijs, Daan J, Gwinner, Wilfried, Kers, Jesper, Linmans, Jasper, Schaadt, Nadine S, Schmitz, Jessica, Steenbergen, Eric J, Swiderska-Chadaj, Zaneta, Smeets, Bart, Hilbrands, Luuk B, Feuerhake, Friedrich, van der Laak, Jeroen A W M

“…Delayed graft function (DGF) is a strong risk factor for development of interstitial fibrosis and tubular atrophy (IFTA) in kidney transplants. Quantitative…”
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Continual Domain Incremental Learning for Privacy-aware Digital Pathology by Kumari, Pratibha, Reisenbüchler, Daniel, Luttner, Lucas, Schaadt, Nadine S, Feuerhake, Friedrich, Merhof, Dorit

“…In recent years, there has been remarkable progress in the field of digital pathology, driven by the ability to model complex tissue patterns using advanced…”
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Unsupervised Latent Stain Adaptation for Computational Pathology by Reisenbüchler, Daniel, Luttner, Lucas, Schaadt, Nadine S, Feuerhake, Friedrich, Merhof, Dorit

“…In computational pathology, deep learning (DL) models for tasks such as segmentation or tissue classification are known to suffer from domain shifts due to…”
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Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review by Redlich, Jan-Philipp, Feuerhake, Friedrich, Weis, Joachim, Schaadt, Nadine S, Teuber-Hanselmann, Sarah, Buck, Christoph, Luttmann, Sabine, Eberle, Andrea, Nikolin, Stefan, Appenzeller, Arno, Portmann, Andreas, Homeyer, André

“…npj Imaging 2024 In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of glioma histopathology images using artificial…”
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Predicting Structural and Functional Properties of Membrane Proteins from Protein Sequence by Metzger, Jennifer, Schaadt, Nadine S., Hayat, Sikander, Helms, Volkhard

“…Integral transmembrane (TM) proteins are essential constituents of biological membranes where they fulfill a variety of important cellular functions. Because…”
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