Erik Meijering

Erik Meijering is a Professor of Biomedical Image Computing at the School of Computer Science and Engineering of the University of New South Wales in Sydney, Australia. With a PhD and status as an IEEE Fellow (FIEEE), he leads research in bioimage analysis, neuron reconstruction, and cell tracking. His work bridges computer science, biomedical engineering, and neuroscience, with applications across multiple medical disciplines.

Meijering's research focuses on developing computational methods for analyzing biological images, particularly in the areas of neuron tracing, cell tracking, and medical image segmentation. His work employs advanced techniques including deep learning, algorithm benchmarking, and large-scale image analysis. He has pioneered community efforts like the Cell Tracking Challenge and BigNeuron initiative, which have established standardized benchmarks for evaluating bioimage analysis algorithms. His research has significant implications for neuroscience, cancer diagnostics, and personalized medicine.

His publication record shows a clear evolution from foundational work in image processing to cutting-edge applications of deep learning in bioimage analysis. Recent work emphasizes cross-domain generalizability of medical AI models, high-plexity microscopy techniques, and large-scale neuron reconstruction. Meijering's research consistently addresses the challenge of translating computational methods into practical biomedical applications.

• Distinguished Lecturer, IEEE Signal Processing Society (2022-2023)
• Guest Editor, Special Issue on Deep Learning in Biological Image and Signal Processing (2022)
• Chair, IEEE Technical Committee on Bio Imaging and Signal Processing (2018-2019)
• Associate Editor, IEEE Transactions on Medical Imaging (2004-2024)

Meijering has secured substantial research funding from multiple sources including NHMRC, EU, NWO, and UNSW. His current projects include Revolutionizing Immunotherapy Response Prediction in Non-Small Cell Lung Cancer (2022-2025) and the Academic Start-Up Fund for Biomedical Image Computing (2019-2024). He has successfully led international collaborations through initiatives like BigNeuron and the Cell Tracking Challenge, which have brought together researchers from Australia, Europe, Asia, and the USA. His research group maintains active collaborations with numerous institutions worldwide, spanning neuroscience, medical imaging, and computational biology.

Through his leadership of the BigNeuron project and Cell Tracking Challenge, Meijering has established international communities focused on advancing bioimage analysis. These initiatives have created standardized benchmarks and resources that accelerate progress in neuron reconstruction and cell tracking. His work has helped establish best practices for algorithm evaluation in bioimage analysis, significantly impacting how researchers develop and validate computational methods for biological imaging.