Tim H. Brümmendorf

According to our database, Tim H. Brümmendorf authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Improving the Quality of Unstructured Cancer Data Using Large Language Models: A German Oncological Case Study.

Yongli Mou, Jonathan Lehmkuhl, Nicolas Sauerbrunn, Anja Köchel, Jens Panse, Daniel Truh, Sulayman K. Sowe, Tim H. Brümmendorf, Stefan Decker

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 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

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

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