Barbara Mara Klinkhammer

According to our database, Barbara Mara Klinkhammer authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2024

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

Proceedings of the Eleventh International Conference on Image Processing Theory, 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

Proceedings of the Eleventh International Conference on Image Processing Theory, 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

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

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

Proceedings of the 26th International Conference on Pattern Recognition, 2022

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

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Guided Representation Learning for the Classification of Hematopoietic Cells.

Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 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

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

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

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

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

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

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations.

Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy.

Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study.

Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor

Proceedings of the Digital Pathology - 15th European Congress, 2019

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

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability.

Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof

Proceedings of the Image and Signal Processing - 8th International Conference, 2018

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

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

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

Proceedings of the Pattern Recognition - 39th German Conference, 2017

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

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images.

Michael Gadermayr, Martin Strauch, Barbara Mara Klinkhammer, Sonja Djudjaj, Peter Boor, Dorit Merhof

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016