Hemin Ali Qadir

According to our database, Hemin Ali Qadir authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

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

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

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

Deep learning for improved polyp detection from synthetic narrow-band imaging.

Mathias Ramm Haugland, Hemin Ali Qadir, Ilangko Balasingham

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 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 Steiner Halvorsen, Ilangko Balasingham

Proceedings of the Computing in Cardiology, 2023

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

Classification of Kidney Tumor Grading on Preoperative Computed Tomography Scans.

Maryamalsadat Mahootiha, Hemin Ali Qadir, Jacob Bergsland, Ilangko Balasingham

Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

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

Region-Based Convolutional Neural Network for Polyp Detection and Segmentation.

Hemin Ali Qadir, Ilangko Balasingham, Younghak Shin

Proceedings of the Computer-Aided Analysis of Gastrointestinal Videos, 2021

2020

Development of Image Processing Algorithms for the AutomaticScreening of Colon Cancer.

Hemin Ali Qadir

PhD thesis, 2020

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

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

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

Proceedings of the 13th International Symposium on Medical Information and Communication Technology, 2019

2018

Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance.

Younghak Shin, Hemin Ali Qadir, Ilangko Balasingham

IEEE Access, 2018

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