Blar i NTNU Open på forfatter "Kumar, Rahul Prasanna"

Viser treff 1-7 av 7

    • 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 ...

    • Effects of enhancement on deep learning based hepatic vessel segmentation 

      Survarachakan, Shanmugapriya; Pelanis, Egidijius; Khan, Zohaib Amjad; Kumar, Rahul Prasanna; Edwin, Bjørn; Lindseth, Frank (Journal article; Peer reviewed, 2021)

    • 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 (Peer reviewed; Journal article, 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 ...

    • Numerical evaluation on parametric choices influencing segmentation results in radiology images—a multi-dataset study 

      Prasad, Pravda Jith Ray; Survarachakan, Shanmugapriya; Khan, Zohaib Amjad; Lindseth, Frank; Elle, Ole Jacob; Albregtsen, Fritz; Kumar, Rahul Prasanna (Peer reviewed; Journal article, 2021)
      Medical image segmentation has gained greater attention over the past decade, especially in the field of image-guided surgery. Here, robust, accurate and fast segmentation tools are important for planning and navigation. ...

    • 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; 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; 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 (Peer reviewed; Journal article, 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 ...