222 citations · 304 across the 7 of their papers we have counts for
8 papers
Biaxialformer: Leveraging Channel Independence and Inter-Channel Correlations in EEG Signal Decoding for Predicting Neurological Outcomes
Naimahmed Nesaragi, Hemin Ali Qadir, Per Steiner Halvorsen +1
Accurate decoding of EEG signals requires comprehensive modeling of both temporal dynamics within individual channels and spatial dependencies across channels. While Transformer-ba…
Deep Learning for Improved Polyp Detection from Synthetic Narrow-Band Imaging
Mathias Ramm Haugland, Hemin Ali Qadir, Ilangko Balasingham
To cope with the growing prevalence of colorectal cancer (CRC), screening programs for polyp detection and removal have proven their usefulness. Colonoscopy is considered the best-…
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 +1
This work investigates the predictive potential of bipolar electroencephalogram (EEG) recordings towards efficient prediction of poor neurological outcomes. A retrospective design…
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data
Maryamalsadat Mahootiha, Hemin Ali Qadir, Jacob Bergsland +1
Renal cell carcinoma represents a significant global health challenge with a low survival rate. This research aimed to devise a comprehensive deep-learning model capable of predict…
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames
Hemin Ali Qadir, Younghak Shin, Jacob Bergsland +1
An efficient deep learning model that can be implemented in real-time for polyp detection is crucial to reducing polyp miss-rate during screening procedures. Convolutional neural n…
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 +3
The extent to which advanced waveform analysis of non-invasive physiological signals can diagnose levels of hypovolemia remains insufficiently explored. The present study explores…
Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better?
Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik +3
Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp miss rate by physicians during colonoscopy, which is about 25%. However, this compu…
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches
Younghak Shin, Hemin Ali Qadir, Lars Aabakken +2
Automatic detection of colonic polyps is still an unsolved problem due to the large variation of polyps in terms of shape, texture, size, and color, and the existence of various po…