• Deghosting dual-component streamer data using demigration-based supervised learning 

      Jonge, Thomas de; Vinje, Vetle; Poole, Gordon; Zhao, Peng; Iversen, Einar (Journal article; Peer reviewed, 2024)
      Ghost reflections from the free surface distort the source signature and generate notches in the seismic amplitude spectrum. For this reason, removing ghost reflections is essential to improve the bandwidth and signal-to-noise ...
    • A reproducible brain tumour model established from human glioblastoma biopsies 

      Wang, Jian; Miletic, Hrvoje; Sakariassen, Per Øystein; Huszthy, Peter Csaba; Jacobsen, Hege; Brekkå, Narve; Li, Xingang; Zhao, Peng; Mørk, Sverre; Chekenya, Martha; Bjerkvig, Rolf; Enger, Per Øyvind (Peer reviewed; Journal article, 2009-12-29)
      Background: Establishing clinically relevant animal models of glioblastoma multiforme (GBM) remains a challenge, and many commonly used cell line-based models do not recapitulate the invasive growth patterns of patient ...
    • Source and receiver deghosting by demigration-based supervised learning 

      Jonge, Thomas de; Vinje, Vetle; Zhao, Peng; Poole, Gordon; Iversen, Einar (Journal article; Peer reviewed, 2022)
      Deghosting of marine seismic data is an important and challenging step in the seismic processing flow. We describe a novel approach to train a supervised convolutional neural network to perform joint source and receiver ...