Blar i SINTEF Open på forfatter "Elle, Ole Jakob"

Viser treff 1-3 av 3

    • Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions 

      Survarachakan, Shanmugapriya; Prasad, Pravda Jith Ray; Naseem, Rabia; Perez de Frutos, Javier; Kumar, Rahul Prasanna; Langø, Thomas; Alaya Cheikh, Faouzi; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2022)
      Deep learning-based methods, in particular, convolutional neural networks and fully convolutional networks are now widely used in the medical image analysis domain. The scope of this review focuses on the analysis using ...

    • Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation 

      Perez de Frutos, Javier; Pedersen, Andre; Pelanis, Egidijus; Bouget, David Nicolas Jean-Mar; Survarachakan, Shanmugapriya; Langø, Thomas; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2023)
      Purpose: This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods: Different training strategies, loss functions, ...

    • Spatial Orientation in Cardiac Ultrasound Images Using Mixed Reality: Design and Evaluation 

      Maddali, Dharani Dhar; Brun, Henrik; Kiss, Gabriel; Hjelmervik, Jon M.; Elle, Ole Jakob (Peer reviewed; Journal article, 2022)
      Spatial orientation is an important skill in structural cardiac imaging. Until recently, 3D cardiac ultrasound has been visualized on a flat screen by using volume rendering. Mixed reality devices enhance depth perception, ...