Tim H. Brümmendorf

12 papers B 1Unranked 11
YearRankTypeTitle / Venue / Authors
2024 — conf
Improving the Quality of Unstructured Cancer Data Using Large Language Models: A German Oncological Case Study.
MIE
Yongli Mou, Jonathan Lehmkuhl, Nicolas Sauerbrunn, Anja Köchel, Jens Panse, Daniel Truhn, Sulayman K. Sowe, Tim H. Brümmendorf, Stefan Decker
2022 — conf
Analysis of automatically generated embedding guides for cell classification.
IPTA
Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2022 B conf
Automatic Embedding Interventions for the Classification of Hematopoietic Cells.
ICPR
Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2022 — conf
Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow.
ICPRAI (2)
Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2022 — conf
Spatial Maturity Regression for the Classification of Hematopoietic Cells.
IPTA
Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2021 — conf
Guided Representation Learning for the Classification of Hematopoietic Cells.
ICCVW
Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2021 — conf
Reduction of Stain Variability in Bone Marrow Microscopy Images - Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells.
Bildverarbeitung für die Medizin
Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2021 — conf
Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification.
Bildverarbeitung für die Medizin
Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2021 — conf
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification.
ISBI
Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2020 — conf
Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet.
ISBI
Philipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2020 — conf
Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training.
ISBI Workshops
Philipp Gräbel, Gregor Nickel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2018 — conf
Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow.
COMPAY/OMIA@MICCAI
Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof