Browsing NTNU Open by Author "Qadir, Hemin Ali"
Now showing items 1-7 of 7
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Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance
Shin, Younghak; Qadir, Hemin Ali; Balasingham, Ilangko (Journal article; Peer reviewed, 2018)One of the major obstacles in automatic polyp detection during colonoscopy is the lack of labeled polyp training images. In this paper, we propose a framework of conditional adversarial networks to increase the number of ... -
Classification of Kidney Tumor Grading on Preoperative Computed Tomography Scans
Mahootiha, Maryamalsadat; Qadir, Hemin Ali; Bergsland, Jacob; Balasingham, Ilangko Sellappah (Chapter, 2023)Deep learning (DL) has proven itself as a powerful tool to capture patterns that human eyes may not be able to perceive when looking at high-dimensional data such as radiological data (volumetric data). For example, the ... -
Deep Learning for Polyp Detection from Synthetic Narrow-Band Imaging
Haugland, Mathias Ramm (Master thesis, 2022)Kolorektal kreft (CRC) har blitt en utbredt krefttype i utviklide land, og screeningprogrammer har blitt populære på grunn av sin beviselig preventive effekt. Koloskopi er ansett som den beste screeningmetoden for CRC, og ... -
Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video
Qadir, Hemin Ali; Balasingham, Ilangko; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Shin, Younghak (Peer reviewed; Journal article, 2019)Automatic polyp detection has been shown to be difficult due to various polyp-like structures in the colon and high interclass variations in polyp size, color, shape, and texture. An efficient method should not only have ... -
A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism
Qadir, Hemin Ali; Nesaragi, Naimahmed; Halvorsen, Per Steinar; Balasingham, Ilangko (Chapter, 2023) -
Multimodal deep learning for personalized renal cell carcinoma prognosis: Integrating CT imaging and clinical data
Mahootiha, Maryamalsadat; Qadir, Hemin Ali; Bergsland, Jacob; Balasingham, Ilangko (Peer reviewed; Journal article, 2023)Background and Objective: Renal cell carcinoma represents a significant global health challenge with a low survival rate. The aim of this research was to devise a comprehensive deep-learning model capable of predicting ... -
Non-invasive waveform analysis for emergency triage via simulated hemorrhage: An experimental study using novel dynamic lower body negative pressure model
Nesaragi, Naimahmed; Høiseth, Lars Øivind; Qadir, Hemin Ali; Rosseland, Leiv Arne; Halvorsen, Per Steinar; Balasingham, Ilangko (Peer reviewed; Journal article, 2023)The extent to which advanced waveform analysis of non-invasive physiological signals can diagnose levels of hypovolemia remains insufficiently explored. The present study explores the discriminative ability of a deep ...