AN.

Adriana Namour

PhD researcher · King’s College London

AI-enabled imaging for retinal microsurgery.

EPSRC CDT in Smart Medical Imaging · King’s College London & Imperial College London

I develop real-time computer vision that tracks the retina, surgical instruments and injection point at pixel level—supporting stable subretinal delivery of sight-restoring regenerative therapies.

Explore my work PhD project

My PhD develops deep-learning methods for real-time pixel-level tracking and semantic interpretation in vitreoretinal surgery—towards safer, image-guided delivery of regenerative therapies into the retina.

01 / 04

Selected work

Research with a route to the clinic.

01

OPEN-SOURCE RESEARCH SOFTWARE

Segment Anything
Annotator & Reviewer

A desktop workflow for manual pixel-level annotation and structured review/correction of propagated masks. Designed to make high-quality surgical-video datasets more practical to create and verify.

View project ↗Zenodo archive · v1.0.0 ↗

PHD RESEARCH

Scalable segmentation for retinal microsurgery video

Annotation-efficient semantic segmentation of real clinical vitreoretinal surgery footage, combining sparse expert keyframes, temporal propagation, quality control and lightweight deployment.

Clinical retinal microsurgery · real-time vision

RESEARCH GOAL

Stable, sight-restoring injection guidance

Tracking tools, retinal tissue and intended injection locations to support safe subretinal delivery of regenerative cell and gene therapies.

EPSRC CDT in Smart Medical Imaging · KCL & Imperial

FIRST-CLASS MENGRAYMOND GOSLING PRIZETOP OF COHORTEPSRC PHD SCHOLAR

Peer-reviewed publications

Published research.

View Google Scholar ↗

CO-AUTHORED PUBLICATIONS

Teaching & service

Making technical ideas usable.

I am a Graduate Teaching Assistant at King’s College London, supporting cohorts of 150+ students across biomedical engineering and machine learning.

  • Machine Learning · Python & OOP · Computational Statistics
  • 3D Printing & CAD · Computational Applied Biomathematics · 3D Clinical Anatomy
  • PhD student representative — Surgical & Interventional Engineering
  • Founder & host — 15+ research seminars with international speakers
AN

About

Biomedical engineer.
Computer-vision researcher.

Based at King’s College London, I am interested in the practical conditions that make AI clinically useful: carefully built datasets, transparent evaluation and systems that respect how experts actually work.

PythonC++PyTorchComputer visionMachine learningSemantic segmentationSurgical roboticsDocker