output
20162025
most citedDeep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

773 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025★ 2 cited

FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation using Multi-modal Images

Sachin Dudda Nagaraju, Ashkan Moradi, Bendik Skarre Abrahamsen +1

Medical image segmentation plays a crucial role in AI-assisted diagnostics, surgical planning, and treatment monitoring. Accurate and robust segmentation models are essential for e…

cs.CV2024★ 27 cited

Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative Measures

Felix Tempel, Espen Alexander F. Ihlen, Lars Adde +1

In Human Activity Recognition (HAR), understanding the intricacy of body movements within high-risk applications is essential. This study uses SHapley Additive exPlanations (SHAP)…

cs.CV2020★ 45 cited

Towards human-level performance on automatic pose estimation of infant spontaneous movements

Daniel Groos, Lars Adde, Ragnhild Støen +2

Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk infants. In order to develop algorithms for automated prediction of later disorde…