Erik Verburg

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.

Publications

• Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts
  Wang, Hui, van der Velden, Bas H.M., Verburg, Erik, Bakker, Marije F., Pijnappel, Ruud M., Veldhuis, Wouter B., van Gils, Carla H., Gilhuijs, Kenneth G.A. Aug 2023 in Radiology 308 (2),
• Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations From the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening 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 Apr 2023 in Investigative Radiology 58 (4), p. 293-298
• 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 Jan 2022 in Radiology 302 (1), p. 29-36
• 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 Jul 2021 in Investigative Radiology 56 (7), p. 442-449
• 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 Jul 2020 in Investigative Radiology 55 (7), p. 438-444
• 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. Oct 2019 in Medical Physics 46 (10), p. 4405-4416
• 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 (4), 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 (6), p. 3330