5 papers
PU-UNet: Stable Multiplicative Interactions for Medical Image Segmentation
Ziyuan Li, Osamah Sufyan, Uwe Jaekel +1
Many dense prediction networks rely on additive feature transformations and model higher-order feature interactions only implicitly. Product units provide an explicit mechanism for…
Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
Ziyuan Li, Uwe Jaekel, Babette Dellen
Understanding nonlinear feature interactions is crucial in science and engineering, yet standard multilayer perceptrons (MLPs) often capture such interactions only implicitly, lead…
Model discovery for dynamical systems with complex-valued product units
Martin Brückmann, Babette Dellen, Uwe Jaekel
Discovering the governing equations of a dynamical system from observed trajectories provides deeper insight into its structure than mere prediction of future states. We present a…
Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation
Osamah Sufyan, Martin Brückmann, Ralph Wickenhöfer +2
In CT angiography, the accurate segmentation of abdominal aortic aneurysms (AAAs) is difficult due to large anatomical variability, low-contrast vessel boundaries, and the close pr…
Classification of data with a qudit, a geometric approach
A. Mandilara, B. Dellen, U. Jaekel +2
We propose a model for data classification using isolated quantum -level systems or else qudits. The procedure consists of an encoding phase where classical data are mapped on t…