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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
Adriana Namour in a blue lab coat working with a retinal microsurgery robot
Adriana NamourAI for retinal surgical robotics

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.

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Selected work

Research with a route to the clinic.

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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 SCHOLARPRESIDENT OF KCL ENGINEERING SOCIETY / KCL CHORUSPRESIDENT OF THE YEAR 2023

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 250+ students across biomedical engineering and medicine.

  • 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

Leadership & recognition

Building communities.
Leading with purpose.

Adriana celebrating her KCLSU President of the Year award with fellow students
KCLSU Awards · President of the Year 2023
KCLSU President of the Year 2023 award badge

KCLSU President of the Year

Awarded in 2023 for my achievements and contribution to the King’s community through the Engineering Society and Chorus.

King’s College London Engineering Society
President · 2 years
King’s College Chorus
President · 3 years
View award certificate (PDF) ↗

Academic recognition · 2023

Raymond Gosling Prize

Top MEng student in Biomedical Engineering at King’s College London.

View prize certificate (PDF) ↗

Speaking, mentoring & outreach

Sharing the work.
Opening the conversation.

Adriana speaking into a microphone on a Women in STEM panel alongside fellow panellists

PANEL SPEAKING

Women in STEM

Sharing perspectives on research careers, confidence and inclusion through invited panel conversations at King’s.

Adriana introducing a research seminar at the London Institute for Healthcare Engineering

RESEARCH COMMUNITY

Bringing researchers together

Organising and hosting the Joint SIE / AE-PSI Seminar Series, connecting researchers across surgical engineering and medical imaging.

Adriana helping a young visitor explore a toy medical scanner at New Scientist Live

PUBLIC ENGAGEMENT

Curiosity starts early

Volunteering each year at King’s Hospital of the Future exhibition at New Scientist Live, supporting Siemens Healthineers and Medtronic across different editions.

Student supervision

I support student projects in surgical computer vision and generative AI, from SAM2-assisted video annotation to stereo video and depth estimation for retinal tool tracking.

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