Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images. - Michael Gadermayr; Martin Strauch; Barbara Mara Klinkhammer; Sonja Djudjaj; Peter Boor; Dorit Merhof (ICIAR, 2016)

Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection. - Michael Gadermayr; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (MLMI@MICCAI, 2016)

A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney. - Michael Gadermayr; Sean Steven Cooper; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (GCPR, 2017)

Segmenting renal whole slide images virtually without training data. - Michael Gadermayr; Dennis Eschweiler; Abiramjee Jeevanesan; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (Comput. Biol. Medicine, 2017)

CNN Cascades for Segmenting Whole Slide Images of the Kidney. - Michael Gadermayr; Ann-Kathrin Dombrowski; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (CoRR, 2017)

Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. - Michael Gadermayr; Dennis Eschweiler; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (ICISP, 2018)

Stain independent segmentation of whole slide images: A case study in renal histology. - Laxmi Gupta; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof; Michael Gadermayr (ISBI, 2018)

Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images. - Michael Gadermayr; Vitus Appel; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (MICCAI (2), 2018)

Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow. - Philipp Gräbel; Martina Crysandt; Reinhild Herwartz; Melanie Hoffmann; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (COMPAY/OMIA@MICCAI, 2018)

Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study. - Michael Gadermayr; Barbara Mara Klinkhammer; Peter Boor (ECDP, 2019)

GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. - Laxmi Gupta; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof; Michael Gadermayr (MICCAI (1), 2019)

Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. - Michael Gadermayr; Laxmi Gupta; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (MIDL, 2019)

Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology. - Laxmi Gupta; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof; Michael Gadermayr (MIDL, 2019)

CNN cascades for segmenting sparse objects in gigapixel whole slide images. - Michael Gadermayr; Ann-Kathrin Dombrowski; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (Comput. Medical Imaging Graph., 2019)

Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. - Michael Gadermayr; Laxmi Gupta; Vitus Appel; Peter Boor; Barbara Mara Klinkhammer; Dorit Merhof (IEEE Trans. Medical Imaging, 2019)

Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training. - Philipp Gräbel; Gregor Nickel; Martina Crysandt; Reinhild Herwartz; Melanie Baumann; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (ISBI Workshops, 2020)

Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet. - Philipp Gräbel; Özcan Özkan; Martina Crysandt; Reinhild Herwartz; Melanie Baumann; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (ISBI, 2020)

Reduction of Stain Variability in Bone Marrow Microscopy Images - Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells. - Philipp Gräbel; Martina Crysandt; Reinhild Herwartz; Melanie Baumann; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (Bildverarbeitung für die Medizin, 2021)

Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification. - Philipp Gräbel; Ina Laube; Martina Crysandt; Reinhild Herwartz; Melanie Baumann; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (Bildverarbeitung für die Medizin, 2021)

Guided Representation Learning for the Classification of Hematopoietic Cells. - Philipp Gräbel; Martina Crysandt; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (ICCVW, 2021)

Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification. - Philipp Gräbel; Ina Laube; Martina Crysandt; Reinhild Herwartz; Melanie Baumann; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (ISBI, 2021)

Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning. - Nassim Bouteldja; Barbara Mara Klinkhammer; Tarek Schlaich; Peter Boor; Dorit Merhof (CoRR, 2021)

Automatic Embedding Interventions for the Classification of Hematopoietic Cells. - Philipp Gräbel; Julian Thull; Martina Crysandt; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (ICPR, 2022)

Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow. - Philipp Gräbel; Martina Crysandt; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (ICPRAI (2), 2022)

Analysis of automatically generated embedding guides for cell classification. - Philipp Gräbel; Julian Thull; Martina Crysandt; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (IPTA, 2022)

Spatial Maturity Regression for the Classification of Hematopoietic Cells. - Philipp Gräbel; Julian Thull; Martina Crysandt; Barbara Mara Klinkhammer; Peter Boor; Tim H. Brümmendorf; Dorit Merhof (IPTA, 2022)

Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation. - Boqiang Huang; Jiayu Ying; Ruizhi Lyu; Nadine S. Schaadt; Barbara Mara Klinkhammer; Peter Boor; Johannes Lotz 002; Friedrich Feuerhake; Dorit Merhof (ISBI, 2024)

tRigon: an R package and Shiny App for integrative (path-)omics data analysis. - David L. Hölscher; Michael Goedertier; Barbara Mara Klinkhammer; Patrick Droste; Ivan G. Costa; Peter Boor; Roman David Bülow (BMC Bioinform., 2024)