Browsing Institutt for informatikk by Author "Kumar, Rahul Prasanna"

Now showing items 1-6 of 6

  • 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 (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 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 ...
  • Fast blood vessel segmentation for surgical and interventional planning and navigation 
    Kumar, Rahul Prasanna (Doctoral thesis / Doktoravhandling, 2014)
    A fast segmentation of tubular tree structures like vessel systems in volumetric datasets is of vital interest for many medical applications. This is especially valid for planning and navigation in catheter based interventions ...
  • Influence of sampling accuracy on augmented reality for laparoscopic image-guided surgery 
    Teatini, Andrea; Perez de Frutos, Javier; Eigl, Benjamin; Aghayan, Davit; Pelanis, Egidijus; Lai, Marco; Kumar, Rahul Prasanna; Palomar, Rafael; Edwin, Bjørn; Elle, Ole Jacob (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Purpose This study aims to evaluate the accuracy of point-based registration (PBR) when used for augmented reality (AR) in laparoscopic liver resection surgery. Material and methods The study was conducted in three ...
  • The effect of intraoperative imaging on surgical navigation for laparoscopic liver resection surgery 
    Teatini, Andrea; Pelanis, Egidijus; Aghayan, Davit; Kumar, Rahul Prasanna; Palomar, Rafael; Fretland, Åsmund Avdem; Edwin, Bjørn; Elle, Ole Jacob (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Conventional surgical navigation systems rely on preoperative imaging to provide guidance. In laparoscopic liver surgery, insufflation of the abdomen (pneumoperitoneum) can cause deformations on the liver, introducing ...
  • Use of mixed reality for improved spatial understanding of liver anatomy 
    Pelanis, Egidijus; Kumar, Rahul Prasanna; Aghayan, Davit; Palomar, Rafael; Fretland, Åsmund Avdem; Brun, Henrik; Elle, Ole Jacob; Edwin, Bjørn (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, ...
  • Use of mixed reality for surgery planning: Assessment and development workflow 
    Kumar, Rahul Prasanna; Pelanis, Egidijus; Bugge, Robin Antony Birkeland; Brun, Henrik; Palomar, Rafael; Aghayan, Davit; Fretland, Åsmund Avdem; Edwin, Bjørn; Elle, Ole Jacob (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Meticulous preoperative planning is an important part of any surgery to achieve high levels of precision and avoid complications. Conventional medical 2D images and their corresponding three-dimensional (3D) reconstructions ...