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

96 citations · 116 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV20234 cited

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…

eess.SP2023

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…

eess.IV202316 cited

Simple U-net Based Synthetic Polyp Image Generation: Polyp to Negative and Negative to Polyp

Hemin Ali Qadir, Ilangko Balasingham, Younghak Shin

Synthetic polyp generation is a good alternative to overcome the privacy problem of medical data and the lack of various polyp samples. In this study, we propose a deep learning-ba…

eess.IV201996 cited

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

Younghak Shin, Hemin Ali Qadir, Ilangko Balasingham

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 advers…