2 papers
cs.CV2025
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction
Jef Jonkers, Frank Coopman, Luc Duchateau +2
Automatic anatomical landmark localization in medical imaging requires not just accurate predictions but reliable uncertainty quantification for effective clinical decision support…
eess.SY2019
Neural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism
Wannes De Groote, Edward Kikken, Erik Hostens +2
Dynamic models of mechatronic systems are abundantly used in the context of motion control and design of complex servo applications. In practice, these systems are often plagued by…