most citedDoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

18 citations · 37 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CV20203 cited

Visual Sentiment Analysis from Disaster Images in Social Media

Syed Zohaib Hassan, Kashif Ahmad, Steven Hicks +4

The increasing popularity of social networks and users' tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content, have opened new oppor…

eess.IV202018 cited

DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

Debesh Jha, Michael A. Riegler, Dag Johansen +2

Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a pop…

stat.ME2020

Efficient Quantile Tracking Using an Oracle

Hugo L. Hammer, Anis Yazidi, Michael A. Riegler +1

For incremental quantile estimators the step size and possibly other tuning parameters must be carefully set. However, little attention has been given on how to set these values in…

cs.CV2020

Robust Medical Instrument Segmentation Challenge 2019

Tobias Ross, Annika Reinke, Peter M. Full +47

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tr…

eess.IV2019

Kvasir-SEG: A Segmented Polyp Dataset

Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4

Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In practice, it is difficult to find annotated medical images with corresponding segmentation ma…

eess.IV2019

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4

Accurate computer-aided polyp detection and segmentation during colonoscopy examinations can help endoscopists resect abnormal tissue and thereby decrease chances of polyps growing…