Anika Grüneboom

According to our database, Anika Grüneboom authored at least 5 papers between 2019 and 2023.

Collaborative distances:

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

2023

EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation.

Yu Zhou, Justin Sonneck, Sweta Banerjee, Stefanie Dörr, Anika Grüneboom, Kristina Lorenz, Jianxu Chen

CoRR, 2023

2022

SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data.

Leonid Mill, Oliver Aust, Jochen A. Ackermann, Philipp Burger, Monica Pascual, Katrin Palumbo-Zerr, Gerhard Krönke, Stefan Uderhardt, Georg Schett, Christoph S. Clemen, Rolf Schröder, Christian Holtzhausen, Samir Jabari, Andreas K. Maier, Anika Grüneboom

CoRR, 2022

Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network.

Oliver Aust, Mareike Thies, DanielaWeidner, Fabian Wagner, Sabrina Pechmann, Leonid Mill, Darja Andreev, Ippei Miyagawa, Gerhard Krönke, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier, Anika Grüneboom

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy.

Yixing Huang, Leonid Mill, Robert Stoll, Lasse Kling, Oliver Aust, Fabian Wagner, Anika Grüneboom, Georg Schett, Silke H. Christiansen, Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2019

Towards In-Vivo X-Ray Nanoscopy - Acquisition Parameters vs. Image Quality.

Leonid Mill, Lasse Kling, Anika Grüneboom, Georg Schett, Silke H. Christiansen, Andreas K. Maier

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