• Computational Techniques for Pathology Detection and Quality Enhancement with emphasis on Colonic Capsule Endoscopy 

      Mohammed, Ahmed Kedir (Doctoral theses at NTNU;2019:351, Doctoral thesis, 2019)
    • Deep-STRESS Capsule Video Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      This paper proposes a unified framework for capsule video endoscopy image enhancement with an objective to enhance the diagnostic values of these images. The proposed method is based on a hybrid approach of deep learning ...
    • Image Quality Metrics for the Evaluation and Optimization of Capsule Video Endoscopy Enhancement Techniques 

      Pedersen, Marius; Cherepkova, Olga; Mohammed, Ahmed Kedir (Journal article; Peer reviewed, 2017)
      Capsule endoscopy, using a wireless camera to capture the digestive track, is becoming a popular alternative to traditional colonoscopy. The images obtained from a capsule have lower quality compared to traditional ...
    • 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 ...
    • PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation 

      Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi (Journal article; Peer reviewed, 2018)
      Articulation modeling, feature extraction, and classification are the important components of pedestrian segmentation. Usually, these components are modeled independently from each other and then combined in a sequential ...
    • PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein (Peer reviewed; Journal article, 2020)
      We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule endoscopy (VCE) data. Our proposed model ...
    • 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 ...
    • Sparse coded handcrafted and deep features for colon capsule video summarization 

      Mohammed, Ahmed Kedir; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein; Alaya Cheikh, Faouzi (Journal article, 2017)
      Capsule endoscopy, which uses a wireless camera to take images of the digestive track, is emerging as an alternative to traditional wired colonoscopy. A single examination produces a sequence of approximately 50,000 frames. ...
    • Stochastic Capsule Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      Capsule endoscopy, which uses a wireless camera to take images of the digestive tract, is emerging as an alternative to traditional colonoscopy. The diagnostic values of these images depend on the quality of revealed ...
    • StreoScenNet: Surgical stereo robotic scene segmentation 

      Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein (Journal article; Peer reviewed, 2019)
      Surgical robot technology has revolutionized surgery toward a safer laparoscopic surgery and ideally been suited for surgeries requiring minimal invasiveness. Sematic segmentation from robot-assisted surgery videos is an ...
    • Variational Approach for Capsule Video Frame Interpolation 

      Mohammed, Ahmed Kedir; Farup, Ivar; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein (Journal article; Peer reviewed, 2018)
      Capsule video endoscopy, which uses a wireless camera to visualize the digestive tract, is emerging as an alternative to traditional colonoscopy. Colonoscopy is considered as the gold standard for visualizing the colon and ...