activity
20192022
most citedDeep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

172 citations · 514 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022

Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring

Ziang Xu, Sharib Ali, Soumya Gupta +3

Inflammatory bowel disease (IBD), in particular ulcerative colitis (UC), is graded by endoscopists and this assessment is the basis for risk stratification and therapy monitoring.…

cs.CV2022★ 19 cited

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

Sharib Ali, Noha Ghatwary, Debesh Jha +29

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and charac…

eess.IV2021★ 163 cited

A multi-centre polyp detection and segmentation dataset for generalisability assessment

Sharib Ali, Debesh Jha, Noha Ghatwary +12

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the ri…

cs.CV2020★ 172 cited

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Sharib Ali, Mariia Dmitrieva, Noha Ghatwary +34

The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy…

eess.IV2020★ 15 cited

Endoscopy disease detection challenge 2020

Sharib Ali, Noha Ghatwary, Barbara Braden +7

Whilst many technologies are built around endoscopy, there is a need to have a comprehensive dataset collected from multiple centers to address the generalization issues with most…

cs.CV2019★ 5 cited

Endoscopy artifact detection (EAD 2019) challenge dataset

Sharib Ali, Felix Zhou, Christian Daul +9

Endoscopic artifacts are a core challenge in facilitating the diagnosis and treatment of diseases in hollow organs. Precise detection of specific artifacts like pixel saturations,…

cs.CV2019★ 140 cited

A deep learning framework for quality assessment and restoration in video endoscopy

Sharib Ali, Felix Zhou, Adam Bailey +4

Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical treatment. Artifacts such as motion blur, bubbles, specular reflections, floating o…