Browsing NTNU Open by Author "Wang, Congcong"

Now showing items 1-9 of 9

    • Adaptive context encoding module for semantic segmentation 

      Wang, Congcong; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob (Peer reviewed; Journal article, 2020)
      The object sizes in images are diverse, therefore, capturing multiple scale context information is essential for semantic segmentation. Existing context aggregation methods such as pyramid pooling module (PPM) and atrous ...

    • Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery? 

      Wang, Congcong; Sharma, Vivek; Fan, Yu; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob; Stiefelhagen, Rainer (Journal article; Peer reviewed, 2018)
      Laparoscopic surgery has a limited field of view. Laser ablation in a laproscopic surgery causes smoke, which inevitably influences the surgeon's visibility. Therefore, it is of vital importance to remove the smoke, such ...

    • Deep Smoke Removal from Minimally Invasive Surgery Videos 

      Bolkar, Sabri; Wang, Congcong; Alaya Cheikh, Faouzi; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      During video-guided minimally invasive surgery, quality of frames may be degraded severely by cauterization-induced smoke and condensation of vapor. This degradation of quality creates discomfort for the operating surgeon, ...

    • Intra-operative Image Enhancement and Registration for Image Guided Laparoscopic Liver Resection 

      Wang, Congcong (Doctoral theses at NTNU;2020:88, Doctoral thesis, 2020)

    • Liver surface reconstruction for image guided surgery 

      Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      In image guided surgery, stereo laparoscopes have been introduced to provide a 3D view of the organs during the laparoscopic intervention. This stereo video could possibly be used for other purposes other than simple ...

    • Multiscale deep desmoking for laparoscopic surgery 

      Wang, Congcong; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob (Journal article; Peer reviewed, 2019)
      In minimally invasive surgery, smoke generated by such as electrocautery and laser ablation deteriorates image quality severely. This creates discomfortable view for the surgeon which may increase surgical risk and degrade ...

    • Semi-supervised Network for Detection of COVID-19 in Chest CT Scans 

      Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi (Peer reviewed; Journal article, 2020)
      Deep Learning-based chest Computed Tomography (CT) analysis has been proven to be effective and efficient for COVID-19 diagnosis. Existing deep learning approaches heavily rely on large labeled data sets, which are difficult ...

    • Validation of stereo vision based liver surface reconstruction for image guided surgery 

      Teatini, Andrea; Wang, Congcong; Palomar, Rafael; Alaya Cheikh, Faouzi; Edwin, Bjørn; Elle, Ole Jacob (Chapter, 2018)
      Image guided surgery systems aim to provide navigation to surgeons in order to improve accuracy and safety of the procedures. Through stereo reconstruction algorithms, it is possible to generate 3D surfaces intra-operatively ...

    • Variational based smoke removal in laparoscopic images 

      Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Beghdadi, Azeddine; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      Background In laparoscopic surgery, image quality can be severely degraded by surgical smoke, which not only introduces errors for the image processing algorithms (used in image guided surgery), but also reduces the ...