Robert Haase

According to our database, Robert Haase authored at least 12 papers between 2011 and 2024.

Collaborative distances:

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

2024

Gadolinium dose reduction for brain MRI using conditional deep learning.

Thomas Pinetz, Erich Kobler, Robert Haase, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland

CoRR, 2024

2023

Understanding metric-related pitfalls in image analysis validation.

Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

CoRR, 2023

Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs.

Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

LABKIT: Labeling and Segmentation Toolkit for Big Image Data.

Matthias Arzt, Joran Deschamps, Christopher Schmied, Tobias Pietzsch, Deborah Schmidt, Pavel Tomancak, Robert Haase, Florian Jug

Frontiers Comput. Sci., 2022

Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration.

Anjalie Schlaeppi, Wilson Adams, Robert Haase, Jan Huisken, Ryan B. Macdonald, Kevin W. Eliceiri, Elisabeth Kugler

Frontiers Bioinform., 2022

2021

Image Processing Filters for Grids of Cells Analogous to Filters Processing Grids of Pixels.

Robert Haase

Frontiers Comput. Sci., 2021

Developing open-source software for bioimage analysis: opportunities and challenges.

Florian Levet, Anne E. Carpenter, Kevin W. Eliceiri, Anna Kreshuk, Peter Bankhead, Robert Haase

F1000Research, 2021

2020

GPU-accelerating ImageJ Macro image processing workflows using CLIJ.

Daniela Vorkel, Robert Haase

CoRR, 2020

Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy.

Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2014

Optimisation and Validation of a Swarm Intelligence based Segmentation Algorithm for low Contrast Positron Emission Tomography.

Robert Haase

PhD thesis, 2014

2012

Self-reproduction versus Transition Rules in Ant Colonies for Medical Volume Segmentation.

Robert Haase, Hans-Joachim Böhme, Rosalind Perrin, Klaus Zöphel, Nasreddin Abolmaali

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011

Swarm Intelligence for Medical Volume Segmentation: The Contribution of Self-reproduction.

Robert Haase, Hans-Joachim Böhme, Daniel Zips, Nasreddin Abolmaali

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011