output
20132025
most citedDeep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

172 citations

7 papers

cond-mat.other2025★ 4 cited

Broadband, Flexible, Skin-Compatible Carbon Dots/Graphene Photodetectors for Wearable Applications

Nouha Loudhaief, Petr Rozhin, Ilaria Bertuol +17

The development of wearable photodetectors demands a unique combination of broadband optical sensitivity, mechanical flexibility, and skin-compatibility, with these requirements ra…

q-bio.NC2025

The cognitive triple-slit experiment

Luca Sassoli de Bianchi, Massimiliano Sassoli de Bianchi

Quantum cognition has made it possible to model human cognitive processes very effectively, revealing numerous parallels between the properties of conceptual entities tested by the…

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…

physics.bio-ph2021★ 46 cited

Emerging Technologies for Cancer Research: Towards Personalized Medicine with Microfluidic Platforms and 3D Tumor Models

Matteo Turetta, Fabio Del Ben, Giulia Brisotto +7

In the present review, we describe three hot topics in cancer research such as circulating tumor cells, exosomes, and 3D environment models. The first section is dedicated to micro…

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…

q-bio.SC2013★ 99 cited

CXCR6, a Newly Defined Biomarker of Tissue-Specific Stem Cell Asymmetric Self-Renewal, Identifies More Aggressive Human Melanoma Cancer Stem Cells

Rouzbeh Taghizadeh, Minsoo Noh, Yang Hoon Huh +8

Background: A fundamental problem in cancer research is identifying the cell type that is capable of sustaining neoplastic growth and its origin from normal tissue cells. Recent in…