Anne Oyarzun

Key Skills

Software

CVAT

Roboflow

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Medical Dicom

Top Task Types

Bounding Box

Object Detection

Segmentation

Text Generation

Freelancer Overview

I am a biomedical engineer specializing in medical image analysis and artificial intelligence for healthcare applications. My research focuses on the automatic processing of Arterial Spin Labeling (ASL) MRI images to assess renal and cardiac perfusion. I developed a deep learning-based framework for kidney structure segmentation, image registration, and synthetic dataset generation to enhance model training. I hold a degree in Biomedical Engineering from Mondragon University, where I completed my undergraduate thesis at Medtronic. I later earned a Master’s in Biomedical Engineering with a focus on image and signal processing from the Public University of Navarre (UPNA). During my master’s studies, I worked at Vicomtech, applying AI for aortic aneurysm segmentation in CT images. As a PhD researcher at UPNA, I collaborated with the Clínica Universidad de Navarra and conducted a research stay at Heidelberg University. My work has resulted in multiple scientific publications and conference presentations. My expertise includes medical image segmentation, perfusion analysis, synthetic data generation, and AI-based image registration.

Labeling Experience

Image data labeling

CVATImageBounding BoxPolygon

Generation of ground truth labels for training AI-based models in renal MRI data

Generation of ground truth labels for training AI-based models in renal MRI data

2020

Education

Work History