118 citations · 174 across the 6 of their papers we have counts for
7 papers
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images
Anuja Vats, Marius Pedersen, Ahmed Mohammed +1
Wireless Capsule Endoscopy (WCE) is being increasingly used as an alternative imaging modality for complete and non-invasive screening of the gastrointestinal tract. Although this…
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy
Anuja Vats, Ahmed Mohammed, Marius Pedersen +1
Due to the unequivocal need for understanding the decision processes of deep learning networks, both modal-dependent and model-agnostic techniques have become very popular. Althoug…
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for Improving Generalization with Few Labels
Anuja Vats, Ahmed Mohammed, Marius Pedersen
The lack of generalizability of deep learning approaches for the automated diagnosis of pathologies in Wireless Capsule Endoscopy (WCE) has prevented any significant advantages fro…
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
Anuja Vats, Marius Pedersen, Ahmed Mohammed +1
The progress in Computer Aided Diagnosis (CADx) of Wireless Capsule Endoscopy (WCE) is thwarted by the lack of data. The inadequacy in richly representative healthy and abnormal co…
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
A. Mohammed, I. Farup, M. Pedersen +2
We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule…
2018 Robotic Scene Segmentation Challenge
Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…