Blar i NTNU Open på forfatter "Khan, Zohaib Amjad"
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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) -
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) -
A neural network based framework for effective laparoscopic video quality assessment
Khan, Zohaib Amjad; Beghdadi, Azeddine; Kaaniche, Mounir; Alaya Cheikh, Faouzi; Gharbi, Osama (Peer reviewed; Journal article, 2022)Video quality assessment is a challenging problem having a critical significance in the context of medical imaging. For instance, in laparoscopic surgery, the acquired video data suffers from different kinds of distortion ... -
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. ... -
Towards a video quality assessment based framework for enhancement of laparoscopic videos
Khan, Zohaib Amjad; Beghdadi, Azeddine; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Pelanis, Egidijus; Palomar, Rafael; Fretland, Åsmund Avdem; Edwin, Bjørn; Elle, Ole Jacob (Peer reviewed; Journal article, 2020)Laparoscopic videos can be affected by different distortions which may impact the performance of surgery and introduce surgical errors. In this work, we propose a framework for automatically detecting and identifying such ...