Blar i NTNU Open på forfatter "Alaya Cheikh, Faouzi"

Viser treff 1-20 av 50

    • A novel method for planning liver resections using deformable Bezier surfaces and distance maps 

      Palomar, Rafael; Alaya Cheikh, Faouzi; Edwin, Bjørn; Fretland, Åsmund Avdem; Beghdadi, Azeddine; Elle, Ole Jakob (Journal article; Peer reviewed, 2017)
      Background and Objective: For more than a decade, computer-assisted surgical systems have been helping surgeons to plan liver resections. The most widespread strategies to plan liver resections are: drawing traces in ...

    • A Survey of Stereoscopic 3D Just Noticeable Difference Models 

      Fan, Yu; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi; Fernandez-Maloigne, Christine (Journal article; Peer reviewed, 2019)
      Just noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND ...

    • 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 ...

    • Automatic annotation of lecture videos for multimedia driven pedagogical platforms 

      Imran, Ali Shariq; Alaya Cheikh, Faouzi; Kowalski, Stewart James (Peer reviewed; Journal article, 2016)
      Today’s eLearning websites are heavily loaded with multimedia contents, which are often unstructured, unedited, unsynchronized, and lack inter-links among different multimedia components. Hyperlinking different media ...

    • Benign Paroxysmal Positional Vertigo Disorders Classification Using Eye Tracking Data 

      Hashmi, Ehtesham; Yamin, Muhammad Mudassar; Beghdadi, Azeddine; Alaya Cheikh, Faouzi; Ullah, Mohib (IFIP Advances in Information and Communication Technology;, Chapter, 2024)
      Nystagmus is a neurological condition characterized by involuntary and rhythmic eye movements. These abnormal eye movements can be indicative of various underlying neurological and vestibular disorders, impacting visual ...

    • Camera Relocalization for Augmented Reality Applications using Machine Learning 

      Papin, Maxime (Master thesis, 2020)
      Augmented Reality-applikasjoner har blomstrende spesielt siden smarttelefoner har blitt så kraftige, og behovet for effektive, raske og robuste lokaliseringsalgoritmer har vokst med det. I dette masteroppgavearbeidet takler ...

    • 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 ...

    • A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines 

      Sajjad, Muhammad; U Min Ullah, Fathu; Ullah, Mohib; Christodoulou, Georgia; Alaya Cheikh, Faouzi; Khan, Muhammad (SKKU) (Peer reviewed; Journal article, 2023)
      Facial expression recognition (FER) is an emerging and multifaceted research topic. Applications of FER in healthcare, security, safe driving, and so forth have contributed to the credibility of these methods and their ...

    • Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark 

      Sendjasni, Abderrezzaq; Larabi, Mohamed-Chaker; Alaya Cheikh, Faouzi (Journal article; Peer reviewed, 2022)

    • Cross modality guided liver image enhancement of CT using MRI 

      Naseem, Rabia; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2019)
      Low contrast Computed Tomographic (CT) images often hamper the diagnosis of critical tumors found in various human organs. Contrast enhancement schemes play significant role in improving the visualization of these structures. ...

    • Cross-modal guidance assisted hierarchical learning based siamese network for mr image denoising 

      Naseem, Rabia; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Muhammad, Khan; Sajjad, Muhammad (Journal article; Peer reviewed, 2021)

    • Cross-Modality Guided Contrast Enhancement for Improved Liver Tumor Image Segmentation 

      Naseem, Rabia; Khan, Zohaib Amjad; Satpute, Nitin; Beghdadi, Azeddine; Alaya Cheikh, Faouzi; Olivares, Joaquin (Journal article; Peer reviewed, 2021)

    • 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 ...

    • 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, ...

    • Deepview: Deep Learning based Users Field of View Selection in 360° Videos for Industrial Environments 

      Irfan, Muhammad; Muhammad, Khan; Sajjad, Muhammad; Malik, Khalid; Alaya Cheikh, Faouzi; Rodrigues, Joel J.P.C.; Albuquerque, Victor Hugo C. de (Peer reviewed; Journal article, 2021)
      The industrial demands of immersive videos for virtual reality/augmented reality applications are crescendo, where the video stream provides a choice to the user viewing object of interest with the illusion of “being there”. ...

    • Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization 

      Khan, Sultan Daud; Ullah, Habib; Uzair, Mohammad; Ullah, Mohib; Ullah, Rehan; Alaya Cheikh, Faouzi (Journal article; Peer reviewed, 2019)
      People counting in high density crowds is emerging as a new frontier in crowd video surveillance. Crowd counting in high density crowds encounters many challenges, such as severe occlusions, few pixels per head, and large ...

    • EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos 

      Ul Amin, Sareer; Ullah, Mohib; Sajjad, Muhammad; Alaya Cheikh, Faouzi; Hijji, Mohammad; Hijji, Abdulrahman; Khan, Muhammad (SKKU) (Peer reviewed; Journal article, 2022)
      Surveillance systems regularly create massive video data in the modern technological era, making their analysis challenging for security specialists. Finding anomalous activities manually in these enormous video recordings ...

    • Efficient enhancement of stereo endoscopic images based on joint wavelet decomposition and binocular combination 

      Sdiri, Bilel; Kaaniche, Mounir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob (Peer reviewed; Journal article, 2019)
      The success of minimally invasive interventions and the remarkable technological and medical progress have made endoscopic image enhancement a very active research field. Due to the intrinsic endoscopic domain characteristics ...

    • An Exploration on the Influence Factors of the Optimal Sample Width for Hyperspectral Remote Sensing Image Classification 

      Li, Ningyang; Wang, Zhaohui; Alaya Cheikh, Faouzi; Ullah, Mohib (Peer reviewed; Journal article, 2023)
      Spectral-spatial classification of hyperspectral image (HSI) has made enormous achievements in many applications. One of the critical attributes that affects classification accuracy is the width of HSI cube/patch. To seek ...

    • FADS: An Intelligent Fatigue and Age Detection System 

      Hijji, Mohammad; Yar, Hikmat; Ullah, Fath U Min; Alwakeel, Mohammed M.; Harrabi, Rafika; Aradah, Fahad; Alaya Cheikh, Faouzi; Muhammad, Khan; Sajjad, Muhammad (Peer reviewed; Journal article, 2023)
      Nowadays, the use of public transportation is reducing and people prefer to use private transport because of its low cost, comfortable ride, and personal preferences. However, personal transport causes numerous real-world ...