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ORCIDRobert Haase
Person information
- affiliation: Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- affiliation: TU-Dresden, Physics of Life, Germany
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2020 – today
- 2024
[i6]Thomas Pinetz, Erich Kobler, Robert Haase
, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland:
Gadolinium dose reduction for brain MRI using conditional deep learning. CoRR abs/2403.03539 (2024)- 2023
- [c4]Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland:
Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs. MICCAI (2) 2023: 607-617 - [i5]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i4]Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland:
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs. CoRR abs/2306.14678 (2023) - 2022
- [j3]Anjalie Schlaeppi, Wilson Adams, Robert Haase, Jan Huisken, Ryan B. Macdonald, Kevin W. Eliceiri, Elisabeth Kugler:
Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration. Frontiers Bioinform. 2 (2022) - [j2]Matthias Arzt, Joran Deschamps, Christopher Schmied, Tobias Pietzsch, Deborah Schmidt, Pavel Tomancak, Robert Haase, Florian Jug:
LABKIT: Labeling and Segmentation Toolkit for Big Image Data. Frontiers Comput. Sci. 4: 777728 (2022) - 2021
- [j1]Robert Haase:
Image Processing Filters for Grids of Cells Analogous to Filters Processing Grids of Pixels. Frontiers Comput. Sci. 3: 774396 (2021) - [i3]Florian Levet, Anne E. Carpenter, Kevin W. Eliceiri, Anna Kreshuk, Peter Bankhead, Robert Haase:
Developing open-source software for bioimage analysis: opportunities and challenges. F1000Research 10: 302 (2021) - 2020
- [c3]Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers:
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. WACV 2020: 3655-3662 - [i2]Daniela Vorkel, Robert Haase:
GPU-accelerating ImageJ Macro image processing workflows using CLIJ. CoRR abs/2008.11799 (2020)
2010 – 2019
- 2019
- [i1]Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers:
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. CoRR abs/1908.03636 (2019) - 2014
- [b1]Robert Haase:
Optimisation and Validation of a Swarm Intelligence based Segmentation Algorithm for low Contrast Positron Emission Tomography. Dresden University of Technology, Germany, 2014, pp. 1-111 - 2012
- [c2]Robert Haase, Hans-Joachim Böhme, Rosalind Perrin, Klaus Zöphel, Nasreddin Abolmaali:
Self-reproduction versus Transition Rules in Ant Colonies for Medical Volume Segmentation. ANTS 2012: 316-323 - 2011
- [c1]Robert Haase, Hans-Joachim Böhme, Daniel Zips, Nasreddin Abolmaali:
Swarm Intelligence for Medical Volume Segmentation: The Contribution of Self-reproduction. KI 2011: 111-121
Coauthor Index
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