Y.Z.Z. (Erik) Spenkelink BComm

Y.Z.Z. (Erik) Spenkelink BComm

PHD Candidate - OIO
  • Image Sciences Institute

Research Programs

Strategic Program Cancer



Erik Verburg obtained his MSc degree in Technical medicine in 2011 at the University of Twente. His master thesis on MRI guided HIFU treatment of breast cancer with adjuvant MRI guided radiotherapy  was performed at the Image Sciences Institute under supervision of dr. Kenneth Gilhuijs. After graduation he worked for four years for Opthec BV as a senior development engineer. He was responsible for the development of new optics to be used in implantable intraocular lenses and the implementation of new manufacturing processes.  

Currently he is a PhD candidate in the group of dr. Kenneth Gilhuijs, working on the DENSE Trial project. In this trial, where women with extremely dense breast are screened using MRI, the aims of his project are to reduce the number of false positive follow up and breast cancer risk prediction using advanced breast MRI image processing.

Research Output (7)

Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial

Verburg Erik, van Gils Carla H, van der Velden Bas H M, Bakker Marije F, Pijnappel Ruud M, Veldhuis Wouter B, Gilhuijs Kenneth G A 5 Oct 2021, In: Radiology. 302 , p. 29-36 8 p.

Toward Computer-Assisted Triaging of Magnetic Resonance Imaging-Guided Biopsy in Preoperative Breast Cancer Patients

Wang Hui, van der Velden Bas H M, Ragusi Max A A, Veldhuis Wouter B, Viergever Max A, Verburg Erik, Gilhuijs Kenneth G A 1 Jul 2021, In: Investigative Radiology. 56 , p. 442-449 8 p.

Computer-Aided Diagnosis in Multiparametric Magnetic Resonance Imaging Screening of Women With Extremely Dense Breasts to Reduce False-Positive Diagnoses

Verburg Erik, van Gils Carla H, Bakker Marije F, Viergever Max A, Pijnappel Ruud M, Veldhuis Wouter B, Gilhuijs Kenneth G A 6 Mar 2020, In: Investigative Radiology. 55 , p. 438-444 7 p.

Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts

Verburg Erik, Wolterink Jelmer M., de Waard Stephanie N., Išgum Ivana, van Gils Carla H., Veldhuis Wouter B., Gilhuijs Kenneth G.A. 1 Oct 2019, In: Medical Physics. 46 , p. 4405-4416 12 p.

Eligibility of patients for minimally invasive breast cancer therapy based on MRI analysis of tumor proximity to skin and pectoral muscle

Merckel LG, Verburg Erik, van der Velden Bas H M, Loo Claudette E., van den Bosch Maurice A A J, Gilhuijs Kenneth G A 2018, In: The Breast Journal. 24 , p. 501-508

Automated Segmentation of Pectoral Muscle in MR Images of Dense Breasts

Verburg E, de Waard S N, Veldhuis W B, van Gils C H, Gilhuijs KGA Jun 2016, In: Medical Physics. 43 , p. 3330

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