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

Viser treff 1-8 av 8

    • A novel method for planning liver resections using deformable Bezier surfaces and distance maps 

      Palomar, Rafael; Alaya Cheikh, Faouzi; Edwin, Bjørn; Fretland, Åsmund Avdem; Beghdadi, Azeddine; Elle, Ole Jakob (Journal article; Peer reviewed, 2017)
      Background and Objective: For more than a decade, computer-assisted surgical systems have been helping surgeons to plan liver resections. The most widespread strategies to plan liver resections are: drawing traces in ...

    • Cross modality guided liver image enhancement of CT using MRI 

      Naseem, Rabia; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2019)
      Low contrast Computed Tomographic (CT) images often hamper the diagnosis of critical tumors found in various human organs. Contrast enhancement schemes play significant role in improving the visualization of these structures. ...

    • Cross-modality guided Image Enhancement 

      Naseem, Rabia (Doctoral theses at NTNU;2021:415, Doctoral thesis, 2021)
      The quality of medical images is a crucial factor that affects the performance of several image analysis tasks. Low contrast and noise are among the widely investigated distortions in medical image enhancement problems. ...

    • 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 ...

    • High-Performance Computation of Bézier Surfaces on Parallel and Heterogeneous Platforms 

      Palomar, Rafael; Gómez-Luna, Juan; Alaya Cheikh, Faouzi; Olivares-Bueno, Joaquín; Elle, Ole Jakob (Journal article; Peer reviewed, 2017)
      Bézier surfaces are mathematical tools employed in a wide variety of applications. Some works in the literature propose parallelization strategies to improve performance for the computation of Bézier surfaces. These ...

    • 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, and ...

    • Sensor Control in Robotic Surgery 

      Elle, Ole Jakob (Doktoravhandlinger ved NTNU, 1503-8181; 2004:27, Doctoral thesis, 2004)
      This doctoral thesis investigates sensor control in robotic surgery. At the present state of the art, robotic technology for surgical applications can broadly be divided into four main classes: • Robotic assistance • ...

    • 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, ...