H. Qadir

发表

Simple U-net based synthetic polyp image generation: Polyp to negative and negative to polyp

I. Balasingham, H. Qadir, Younghak Shin, 2022, Biomed. Signal Process. Control..

Wireless Capsule Video Endoscopy For Population-Based Colon Cancer Screening Using 5G network

P. Lehne, I. Balasingham, A. Khaleghi, 2022, 2022 16th European Conference on Antennas and Propagation (EuCAP).

Region-Based Convolutional Neural Network for Polyp Detection and Segmentation

Ilangko Balasingham, Younghak Shin, Hemin Ali Qadir, 2021, Computer-Aided Analysis of Gastrointestinal Videos.

Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches

J. Bergsland, I. Balasingham, L. Aabakken, 2018, IEEE Access.

Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches

Ilangko Balasingham, Jacob Bergsland, Younghak Shin, 2018, IEEE Access.

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

I. Balasingham, H. Qadir, Younghak Shin, 2018, IEEE Access.

Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better?

Ilangko Balasingham, Younghak Shin, Johannes Solhusvik, 2019, 2019 13th International Symposium on Medical Information and Communication Technology (ISMICT).

Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video

Ilangko Balasingham, Younghak Shin, Johannes Solhusvik, 2020, IEEE Journal of Biomedical and Health Informatics.

Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction

Ilangko Balasingham, Johannes Solhusvik, Hemin Ali Qadir, 2020, Medical Image Anal..

Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches

J. Bergsland, I. Balasingham, L. Aabakken, 2019, ArXiv.

Non-invasive Waveform Analysis for Emergency Triage via Simulated Hemorrhage: An Experimental Study using Novel Dynamic Lower Body Negative Pressure Model

P. Halvorsen, I. Balasingham, H. Qadir, 2023, Biocybernetics and Biomedical Engineering.

Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data

I. Balasingham, H. Qadir, Jacob Bergsland, 2023, Computer methods and programs in biomedicine.

Classification of Kidney Tumor Grading on Preoperative Computed Tomography Scans

I. Balasingham, H. Qadir, Jacob Bergsland, 2022, PervasiveHealth.

Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000

Ilangko Balasingham, Younghak Shin, Hemin Ali Qadir, 2019 .

Deep learning-assisted survival prognosis in renal cancer: A CT scan-based personalized approach

I. Balasingham, H. Qadir, Å. Fretland, 2024, Heliyon.

A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism

I. Balasingham, H. Qadir, Naimahmed Nesaragi, 2023, 2023 Computing in Cardiology (CinC).

MRI sequence impact on deep learning extraction of prognostic features for glioblastoma survival prediction

I. Balasingham, H. Qadir, Maryamalsadat Mahootiha, 2024, Medical Imaging.