Manuel Gunkel

According to our database, Manuel Gunkel authored at least 5 papers between 2018 and 2019.

Collaborative distances:

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

2019

GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.

Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr

Medical Image Anal., 2019

Hyperparameter optimization for image analysis: application to prostate tissue images and live cell data of virus-infected cells.

Christian Ritter, Thomas Wollmann, Patrick Bernhard, Manuel Gunkel, Delia M. Braun, Ji Young Lee, Jan Meiners, Ronald Simon, Guido Sauter, Holger Erfle, Karsten Rippe, Ralf Bartenschlager, Karl Rohr

Int. J. Comput. Assist. Radiol. Surg., 2019

Black-Box Hyperparameter Optimization for Nuclei Segmentation in Prostate Tissue Images.

Thomas Wollmann, Patrick Bernhard, Manuel Gunkel, Delia M. Braun, Jan Meiners, Ronald Simon, Guido Sauter, Holger Erfle, Karsten Rippe, Karl Rohr

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Comparison of segmentation methods for tissue microscopy images of glioblastoma cells.

D. Baltissen, Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr

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

Multi-channel Deep Transfer Learning for Nuclei Segmentation in Glioblastoma Cell Tissue Images.

Thomas Wollmann, Julia Ivanova, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018