Professor Erik Meijering

Professor Erik Meijering

Computer Science and Engineering

Erik Meijering is a Professor of Biomedical Image Computing in the School of Computer Science and Engineering. His research focuses on the development of innovative computer vision and machine learning (in particular deep learning) methods for automated quantitative analysis of biomedical imaging data.

He received the MSc degree in Electrical Engineering from Delft University of Technology (Delft, the Netherlands) in 1996 and the PhD degree in Medical Image Analysis from Utrecht University (Utrecht, the Netherlands) in 2000. Before coming to the University of New South Wales (UNSW, Sydney, Australia) in 2019, he was a Postdoctoral Fellow at the Swiss Federal Institute of Technology (Lausanne, Switzerland) from 2000-2002, an Assistant Professor at Erasmus University Medical Center (Rotterdam, the Netherlands) from 2002-2008, and an Associate Professor at the same institute from 2008-2019.

Since 2019 he is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Within IEEE he is a member of the Signal Processing Society (SPS) and the Engineering in Medicine and Biology Society (EMBS), and served/serves on the SPS Technical Committee on Bio Imaging and Signal Processing (BISP) (2005-2010 and 2017-2020), the SPS Technical Directions Board (2018-2019), the EMBS Technical Committee on Biomedical Imaging and Image Processing (BIIP) (since 2007), and the cross-Society IEEE Life Sciences Technical Community (LSTC) (since 2018).

Over the years he was/is an Associate Editor for the IEEE Transactions on Medical Imaging (since 2004), the International Journal on Biomedical Imaging (2006-2009), the IEEE Transactions on Image Processing (2008-2011), has co-edited various journal special issues on topics related to biomedical imaging, and has co-organized various conferences in the field, notably the IEEE International Symposium on Biomedical Imaging (ISBI 2002, 2004, 2006, 2010, 2015, 2018). He also served/serves on a great variety of other international conference, advisory, and review boards.

+61 2 9065 2040
Online or K17 Room 412D
  • Book Chapters | 2008
    Meijering E; Smal I; Dzyubachyk O; Olivo‐Marin J, 2008, 'Chapter 15 Time‐Lapse Imaging', in Microscope Image Processing, Elsevier, pp. 401 - 440,
  • Journal articles | 2022
    Du H; Wang J; Liu M; Wang Y; Meijering E, 2022, 'SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation', IEEE Transactions on Neural Networks and Learning Systems,
    Journal articles | 2013
    Plenge E; Poot DHJ; Niessen WJ; Meijering E, 2013, 'Super-resolution reconstruction using cross-scale self-similarity in multi-slice MRI', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8151 LNCS, pp. 123 - 130,