Ulrike I. Attenberger

According to our database, Ulrike I. Attenberger authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Optical Flow-Guided Cine MRI Segmentation With Learned Corrections.

Antonio Ortiz-Gonzalez, Erich Kobler, Stefan Simon, Leon Bischoff, Sebastian Nowak, Alexander Isaak, Wolfgang Block, Alois M. Sprinkart, Ulrike I. Attenberger, Julian A. Luetkens, Eduardo Bayro-Corrochano, Alexander Effland

IEEE Trans. Medical Imaging, March, 2024

Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems.

Helen Schneider, Sebastian Nowak, Aditya Parikh, Yannik C. Layer, Maike Theis, Wolfgang Block, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

CoRR, 2024

Weighted Monte Carlo augmented spherical Fourier-Bessel convolutional layers for 3D abdominal organ segmentation.

Wenzhao Zhao, Steffen Albert, Barbara D. Wichtmann, Angelika Maurer, Ulrike I. Attenberger, Frank G. Zöllner, Jürgen Hesser

CoRR, 2024

On the Stability of Neural Segmentation in Radiology.

Moritz Wolter, Lokesh Veeramacheneni, Bettina Baeßler, Ulrike I. Attenberger, Barbara D. Wichtmann

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network.

Wenzhao Zhao, Barbara D. Wichtmann, Steffen Albert, Angelika Maurer, Frank G. Zöllner, Ulrike I. Attenberger, Jürgen Hesser

CoRR, 2023

Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis.

Helen Schneider, Elif Cansu Yildiz, David Biesner, Yannik C. Layer, Benjamin Wulff, Sebastian Nowak, Maike Theis, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Is one label all you need? Single positive multi-label training in medical image analysis.

Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays.

Helen Schneider, Max Lübbering, Rebecca Kador, Maximilian Broß, Priya Priya, David Biesner, Benjamin Wulff, Thiago Bell Felix de Oliveira, Yannik C. Layer, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Improving Chest X-Ray Classification by RNN-based Patient Monitoring.

David Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation.

Helen Schneider, David Biesner, Sebastian Nowak, Yannik C. Layer, Maike Theis, Wolfgang Block, Benjamin Wulff, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Diagnostic value of magnetic resonance parametric mapping for non-invasive assessment of liver fibrosis in patients with primary sclerosing cholangitis.

Narine Mesropyan, Patrick Kupczyk, Guido M. Kukuk, Leona Dold, Tobias Weismueller, Christoph Endler, Alexander Isaak, Anton Faron, Alois M. Sprinkart, Claus C. Pieper, Daniel Kuetting, Christian P. Strassburg, Ulrike I. Attenberger, Julian A. Luetkens

BMC Medical Imaging, 2021

2017

Rapid Cartesian versus radial acquisition: comparison of two sequences for hepatobiliary phase MRI at 3 tesla in patients with impaired breath-hold capabilities.

Johannes Budjan, Philipp Riffel, Melissa M. Ong, Stefan O. Schönberg, Ulrike I. Attenberger, Daniel Hausmann

BMC Medical Imaging, 2017