Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches. - Younghak Shin; Hemin Ali Qadir; Lars Aabakken; Jacob Bergsland; Ilangko Balasingham (IEEE Access, 2018)

Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance. - Younghak Shin; Hemin Ali Qadir; Ilangko Balasingham (IEEE Access, 2018)

Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better? - Hemin Ali Qadir; Younghak Shin; Johannes Solhusvik; Jacob Bergsland; Lars Aabakken; Ilangko Balasingham (ISMICT, 2019)

A Framework With a Fully Convolutional Neural Network for Semi-Automatic Colon Polyp Annotation. - Hemin Ali Qadir; Johannes Solhusvik; Jacob Bergsland; Lars Aabakken; Ilangko Balasingham (IEEE Access, 2019)

Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video. - Hemin Ali Qadir; Ilangko Balasingham; Johannes Solhusvik; Jacob Bergsland; Lars Aabakken; Younghak Shin (IEEE J. Biomed. Health Informatics, 2020)

Development of Image Processing Algorithms for the AutomaticScreening of Colon Cancer. - Hemin Ali Qadir (2020)

Region-Based Convolutional Neural Network for Polyp Detection and Segmentation. - Hemin Ali Qadir; Ilangko Balasingham; Younghak Shin (Computer-Aided Analysis of Gastrointestinal Videos, 2021)

Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. - Hemin Ali Qadir; Younghak Shin; Johannes Solhusvik; Jacob Bergsland; Lars Aabakken; Ilangko Balasingham (Medical Image Anal., 2021)

Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames. - Hemin Ali Qadir; Younghak Shin; Jacob Bergsland; Ilangko Balasingham (BIBM, 2022)

Classification of Kidney Tumor Grading on Preoperative Computed Tomography Scans. - Maryamalsadat Mahootiha; Hemin Ali Qadir; Jacob Bergsland; Ilangko Balasingham (PervasiveHealth, 2022)

Simple U-net based synthetic polyp image generation: Polyp to negative and negative to polyp. - Hemin Ali Qadir; Ilangko Balasingham; Younghak Shin (Biomed. Signal Process. Control., 2022)

A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism. - Hemin Ali Qadir; Naimahmed Nesaragi; Per Steiner Halvorsen; Ilangko Balasingham (CinC, 2023)

Deep learning for improved polyp detection from synthetic narrow-band imaging. - Mathias Ramm Haugland; Hemin Ali Qadir; Ilangko Balasingham (Computer-Aided Diagnosis, 2023)

Non-invasive Waveform Analysis for Emergency Triage via Simulated Hemorrhage: An Experimental Study using Novel Dynamic Lower Body Negative Pressure Model. - Naimahmed Nesaragi; Lars Øivind Høiseth; Hemin Ali Qadir; Leiv Arne Rosseland; Per Steinar Halvorsen; Ilangko Balasingham (CoRR, 2023)

A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism. - Hemin Ali Qadir; Naimahmed Nesaragi; Per Steinar Halvorsen; Ilangko Balasingham (CoRR, 2023)

Multimodal deep learning for personalized renal cell carcinoma prognosis: Integrating CT imaging and clinical data. - Maryamalsadat Mahootiha; Hemin Ali Qadir; Jacob Bergsland; Ilangko Balasingham (Comput. Methods Programs Biomed., 2024)

Biaxialformer: Leveraging Channel Independence and Inter-Channel Correlations in EEG Signal Decoding for Predicting Neurological Outcomes. - Naimahmed Nesaragi; Hemin Ali Qadir; Per Steiner Halvorsen; Ilangko Balasingham (CoRR, 2025)