Barbara Mara Klinkhammer

发表

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

Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor, 2019, ECDP.

Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images

Michael Gadermayr, Dorit Merhof, Martin Strauch, 2016, ICIAR.

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

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2018, MIDL.

Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2016, MLMI@MICCAI.

Segmenting renal whole slide images virtually without training data

Michael Gadermayr, Dorit Merhof, Dennis Eschweiler, 2017, Comput. Biol. Medicine.

Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow

Dorit Merhof, Barbara Mara Klinkhammer, Peter Boor, 2018, COMPAY/OMIA@MICCAI.

CNN Cascades for Segmenting Whole Slide Images of the Kidney pdf

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2017, Comput. Medical Imaging Graph..

Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2018, MICCAI.

Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2018, MIDL.

A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2017, GCPR.

Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability

Michael Gadermayr, Dorit Merhof, Dennis Eschweiler, 2018, ICISP.

CNN cascades for segmenting sparse objects in gigapixel whole slide images

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2019, Comput. Medical Imaging Graph..

Stain independent segmentation of whole slide images: A case study in renal histology

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy

Michael Gadermayr, Dorit Merhof, Barbara Mara Klinkhammer, 2019, MICCAI.

Reduction of Stain Variability in Bone Marrow Microscopy Images - Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells

Dorit Merhof, Barbara Mara Klinkhammer, Peter Boor, 2021, Bildverarbeitung für die Medizin.

Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification

Dorit Merhof, Barbara Mara Klinkhammer, Peter Boor, 2021, Bildverarbeitung für die Medizin.

Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification

Dorit Merhof, Barbara Mara Klinkhammer, Peter Boor, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning pdf

Dorit Merhof, Barbara Mara Klinkhammer, Peter Boor, 2021, ArXiv.

State of the Art Cell Detection in Bone Marrow Whole Slide Images

Dorit Merhof, Barbara Mara Klinkhammer, Peter Boor, 2021, Journal of pathology informatics.