4 papers
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
Fei Wu, Pablo Marquez-Neila, Hedyeh Rafi-Tarii +1
Multi-class semantic segmentation remains a cornerstone challenge in computer vision. Yet, dataset creation remains excessively demanding in time and effort, especially for special…
Online 3D reconstruction and dense tracking in endoscopic videos
Michel Hayoz, Christopher Hahne, Thomas Kurmann +5
3D scene reconstruction from stereo endoscopic video data is crucial for advancing surgical interventions. In this work, we present an online framework for online, dense 3D scene r…
Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data
Christopher Hahne, Georges Chabouh, Olivier Couture +1
Ultrasound Localization Microscopy (ULM) enables imaging of vascular structures in the micrometer range by accumulating contrast agent particle locations over time. Precise and eff…
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts
Christopher Hahne, Georges Chabouh, Arthur Chavignon +2
In Ultrasound Localization Microscopy (ULM), achieving high-resolution images relies on the precise localization of contrast agent particles across a series of beamformed frames. H…