• Binary segmentation of medical images using implicit spline representations and deep learning 

      Barrowclough, Oliver Joseph David; Muntingh, Agnar Georg Peder; Nainamalai, Varatharajan; Stangeby, Ivar Haugaløkken (Peer reviewed; Journal article, 2021)
      We propose a novel approach to image segmentation based on combining implicit spline representations with deep convolutional neural networks. This is done by predicting the control points of a bivariate spline function ...
    • Robot-supervised Learning of Crop Row Segmentation 

      Bakken, Marianne; Ponnambalam, Vignesh Raja; Moore, Richard J.D.; Omholt Gjevestad, Jon Glenn; From, Pål Johan (Chapter; Peer reviewed, 2021)
      We propose an approach for robot-supervised learning that automates label generation for semantic segmentation with Convolutional Neural Networks (CNNs) for crop row detection in a field. Using a training robot equipped ...