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The Biomedical Imaging Group Rotterdam (BIGR) is at the forefront of research in medical image analysis & artificial intelligence (AI). We aim to improve efficiency and quality of healthcare by developing innovative AI methods in medical imaging. BIGR is rooted and embedded in Department of Radiology & Nuclear Medicine of Erasmus MC - University Medical Center Rotterdam, the Netherlands.

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BIGR logo

The Biomedical Imaging Group Rotterdam (BIGR) is at the forefront of research in medical image analysis & artificial intelligence (AI). We aim to improve efficiency and quality of healthcare by developing innovative AI methods in medical imaging. BIGR is rooted and embedded in Department of Radiology & Nuclear Medicine of Erasmus MC - University Medical Center Rotterdam, the Netherlands.

Find out more

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Symposium on what every researcher developing software and wants to translate results to the clinic should know about the MDR, June 4th at Na.26.02

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We develop novel techniques to co-learn from various datatypes using AI to perform integrated diagnostics, focussed on creating imaging-based biomarkers to improve diagnosis and treatment in oncology.

We bring state-of-the-art techniques from computer science to the medical imaging domain, further developing, optimizing and rigorously validating them.

We develop accurate and robust tools for clinicians, such as retinal motion correction and co-localization of different imaging modalities, by using artificial intelligence and image processing techniques on ophthalmic data.

We aim to optimally combine brain imaging, clinical data and artificial intelligence techniques to promote an accurate and early diagnosis, and eventually the right treatment, for patients with neurodegenerative disease.

We are developing trackerless navigation approaches, where the imaging systems used for image guidance are utilized to track the anatomy and instruments, and to align pre-operative 3D models to the interventional images.

Our goals are to improve the understanding of how various omics affect the complex traits and to make use of such insights to improve the diagnosis, prevention and treatment of diseases whenever possible.

We improve the management of prostate cancer patients by developing machine learning-based prognostic models that stratify patients into those that will benefit from additional diagnostic procedures and those that do not.

Our infrastructure can greatly benefit personalized medicine by making pipelines for imaging biomarker extraction available to researchers and clinicians. Additionally, we create a reference database for different imaging biomarkers, which can be used to compare an individual against the general population. This will enable improved re-use of imaging data for diagnostics and prognostics.

We aim to design accelerated quantitative MRI acquisitions and use advanced reconstruction techniques to create images that allow clinical diagnosis to be made.

We develop novel techniques for quantitative analysis of medical images, with a focus on deep learning techniques and on large-scale image-based studies. Currently our main application areas are in neuro-, vascular-, and pulmonary image analysis

We focuse on using artificial intelligence and advanced image analysis techniques to improve diagnosis and prediction of musculoskeletal diseases.

CONTRAST 2 - imaging

Imaging infrastructure for the COllaboration for New TReatments of Acute Stroke Consortium

2023 - 2028

EUCAIM

Building a Data-Driven Future for Cancer Care

2022 - 2026

ICAI Stroke Lab

ICAI Stroke Lab: From 112 to rehabilitation

2022 - 2027

Euro-BioImaging is a research infrastructure that offers open access to imaging technologies, training and data services in biological and biomedical imaging. Euro-BioImaging consists of imaging facilities, called Nodes, that have opened their doors to all life science researchers.

Health-RI serves as the national coordination point for agreements on the reuse of health data, stimulating cooperation between all parties and supporting researchers.

At the Imaging Office we provide (nearly) ready to use AI pipelines and infrastructure solutions developed at BIGR as a service.

Principal investigators

Danilo Andrade De Jesus

Postdoctoral researcher / Social Activities & Cohesion, Erasmus MC

Esther Bron

Assistant professor / Communications, Erasmus MC

Marleen de Bruijne

Professor of AI in Medical Image Analysis, Erasmus MC & University of Copenhagen

Jukka Hirvasniemi

Postdoctoral researcher, Erasmus MC

Stefan Klein

Associate Professor / General Chair, Erasmus MC

Dirk Poot

Assistant professor, Erasmus MC

Gennady Roshchupkin

Assistant professor / Business Development, Erasmus MC

Luisa Sanchez Brea

Postdoctoral researcher, Erasmus MC

Martijn P.A. Starmans

Assistant professor, Erasmus MC

Jifke Veenland

Assistant Professor, Tech-Med Education Development & Coordination, Erasmus MC

Henri Vrooman

Assistant professor / Social Activities, Erasmus MC

Theo van Walsum

Associate Professor, BIGR Treasurer, Erasmus MC

Postdocs

Muhammad Arif

Postdoctoral researcher, Erasmus MC

Bo Li

Postdoctoral researcher, Erasmus MC

Hyunho Mo

Postdoctoral researcher, Erasmus MC

PhD students

Tareq Abdel Alim

PhD student, Erasmus MC

Wietske Bastiaansen

PhD student, Erasmus MC

Mohamed Benmahdjoub

PhD Candidate, Erasmus MC

Robin Camarasa

PhD student, Erasmus MC

Sterre de Jonge

PhD student, Erasmus MC

Myrthe van Haaften

PhD student, Erasmus MC

Wenjie Kang

PhD student, Erasmus MC

Sonja Katz

PhD student, Erasmus MC

Erik Kemper

PhD student, Erasmus MC

Zuqi Li

PhD student, KU Leuven

Xianjing Liu

PhD student, Erasmus MC

Matthew Marzetti

PhD student, Erasmus MC

Gonzalo Esteban Mosquera Rojas

PhD student, Erasmus MC

Kaouther Mouheb

PhD student, Erasmus MC

Alireza Samadi

PhD student, Erasmus MC

Anna Shchetinina

PhD student, Erasmus MC

Douwe Spaanderman

PhD student, Erasmus MC

Frank te Nijenhuis

PhD student, Erasmus MC

Abdullah Thabit

PhD student, Erasmus MC

Juancito van Leeuwen

PhD student, Erasmus MC

Jamie Verwey

PhD student, Erasmus MC

Alexander Wakker

PhD student, Erasmus MC

Xinyi Wan

PhD student, Erasmus MC

Shishuai Wang

PhD student, Erasmus MC

Jing Yu

PhD student, Erasmus MC

Marcella Zijta

PhD student, Erasmus MC

MSc/BSc students

Charles Downs

MSc student, Erasmus MC

Frederik Hartmann

MSc student, Erasmus MC

Nathalie Koorn

MSc student, Erasmus MC

Yizhou Liu

MSc student, Erasmus MC

Ruben Niemantsverdriet

MSc student, Erasmus MC

Natalia Oviedo Acosta

MSc student, Erasmus MC

Jette Slettenhaar

MSc student, Erasmus MC

Franz Tapia Chaca

MSc student, Erasmus MC

Yin Tai (Diane) Wang

MSc student, Erasmus MC

Research software engineers

Hakim Achterberg

Research Software Engineer, Erasmus MC

Mahlet A. Birhanu

Research Software Engineer, Erasmus MC

Ivan Bocharov

Research Software Engineer, Erasmus MC

Alexander Harms

Research Software Engineer, Erasmus MC

Marcel Koek

Infra IT Team Leader & Research Software Engineer, Erasmus MC

Ruben van Oosterhoudt

Research Software Engineer, Erasmus MC

Adriaan Versteeg

Research Software Engineer, Erasmus MC

Support staff

Annemarijn Haagsman

Secretary, Erasmus MC

Ilva van Houwelingen

Process Coordinator Imaging Office, Erasmus MC

Full team

Biomedical Imaging Group Rotterdam is a part of Erasmus MC