Miroslav Radojević (Мирослав Радојевић)

Versatile engineer with experience in academic research, R&D and software development. Often binding practical software application with analytical, scientific knowledge. Interested in computer vision, image/data analysis and software engineering.




  • 2023 - now, Senior Software Engineer – Visual AI at Esko Software BV
  • 2019 - 2023, Image Algorithm Engineer (AI and robotics) at Nuctech Netherlands
  • 2017 - 2019, Software engineer at Becton, Dickinson & Company (BD)
  • 2012 - 2018, PhD on Biomedical imaging at Erasmus Medical Center Rotterdam, under supervision of Prof. Erik Meijering
  • 2009 - 2011, MSc in computer vision and robotics (ViBOT), at Heriot-Watt University, Universitat de Girona and Université de Bourgogne
  • 2008 - 2009, Development engineer at ABS Electro - Advanced Control Systems, Belgrade
  • 2003 - 2008, BSc at School of Electrical Engineering, University of Belgrade


BigNeuron: A Resource to Benchmark and Predict Performance of Algorithms for Automated Tracing of Neurons in Light Microscopy Datasets
L. Manubens-Gil, Z. Zhou, H. Chen, A. Ramanathan, X. Liu, Y. Liu, A. Bria, T. Gillette, Z. Ruan, J. Yang, M. Radojević, T. Zhao, L. Cheng, L. Qu, S. Liu, K. E. Bouchard, L. Gu, W. Cai, S. Ji, B. Roysam, C. Wang, H. Yu, A. Sironi, D. M. Iascone, J. Zhou, E. Bas, E. Conde-Sousa, P. Aguiar, X. Li, Y. Li, S. Nanda, Y. Wang, L. Muresan, P. Fua, B. Ye, H. He, J. F. Staiger, M. Peter, D. N. Cox, M. Simonneau, M. Oberlaender, G. Jefferis, K. Ito, P. Gonzalez-Bellido, J. Kim, E. Rubel, H. T. Cline, H. Zeng, A. Nern, A. Chiang, J. Yao, J. Roskams, R. Livesey, J. Stevens, T. Liu, C. Dang, Y. Guo, N. Zhong, G. Tourassi, S. Hill, M. Hawrylycz, C. Koch, E. Meijering, G. A. Ascoli, H. Peng. Nature Methods, 2023.
Deep-Learning Based Automated Neuron Reconstruction from 3D Microscopy Images Using Synthetic Training Images
W. Chen, M. Liu, H. Du, M. Radojević, Y. Wang, E. Meijering. IEEE Transactions on Medical Imaging, 2021.
Spherical-Patches Extraction for Deep-Learning Based Critical Points Detection in 3D Neuron Microscopy Images
W. Chen, M. Liu, Q. Zhan, Y. Tan, E. Meijering, M. Radojević, Y. Wang. IEEE Transactions on Medical Imaging, 2020.
Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning
G. Mata, M. Radojević, C. Fernandez-Lozano, I. Smal, N. Werij, M. Morales, E. Meijering, J. Rubio. Neuroinformatics, 2018.
An objective comparison of cell-tracking algorithms
V. Ulman, M. Maška, K. E. G. Magnusson, O. Ronneberger, C. Haubold, N. Harder, P. Matula, P. Matula, D. Svoboda, M. Radojević, I. Smal, K. Rohr, J. Jaldén, H. M. Blau, O. Dzyubachyk, B. Lelieveldt, P. Xiao, Y. Li, S.Y. Cho, A. C. Dufour, J.C. Olivo-Marin, C. C. Reyes-Aldasoro, J. A. Solis-Lemus, R. Bensch, T. Brox, J. Stegmaier, R. Mikut, S. Wolf, F. A. Hamprecht, T. Esteves, P. Quelhas, Ö. Demirel, L. Malmström, F. Jug, P.Tomancak, E. Meijering, A. Muñoz-Barrutia, M. Kozubek, C. Ortiz-de-Solorzano. Nature Methods 2017.
Neuron Reconstruction from Fluorescence Microscopy Images using Sequential Monte Carlo estimation
M. Radojević, E. Meijering. IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, 2017.
Automatic detection of neurons in high-content microscope images using machine learning approaches
G. Mata, M. Radojević, I. Smal, M. Morales, E. Meijering, J. Rubio. IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 2016.
Automated neuron morphology reconstruction using fuzzy-logic detection and Bayesian tracing algorithms
M. Radojević, I. Smal, E. Meijering. IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA. 2015.
Fuzzy logic based detection of neuron bifurcations in microscopy images
M. Radojević, I. Smal, W. J. Niessen, E. Meijering. IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, 2014.
[pdf] [poster]
3D volume localization using miniatures
L. Šajn, M. Radojević, T. Dobravec. IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia, 2014.


BigNeuron Algorithm Porting and Bench Testing for Automatic Massive-Scale Neuron Reconstruction
Z. Zhou, X. Liu, A. Ramanathan, H. Chen, Y. Li, M. Prabhat, K. Bouchard, L. Gu, L. Cheng, Z. Wan, J. Yang, N. Zhong, L. Qu, J. Yang, S. Liu, W. Cai, H. Zhou, S. Zeng, C. W. Wang, A. Sironi, P. Glowacki, P. Fua, M. Radojević, D. Jin, T. Zhao, J. Zhou, Z. Zheng, P. Hong, T. Zeng, R. Li, S. Ji, H. Ikeno, Y. T. Ching, T. Liu, E. Bas, B. Roysam, S. Sorensen, A. Nern, G. Tourassi, J. Wells, R. Kanzaki, K. Ito, J. Kim, G. Je eris, Y. Wang, E. Rubel, P. T. Gonzalez-Bellido, R. Wong, B. Ye, H. Zeng, E. Lein, H. Cline, A. S. Chiang, G. M. Rubin, S. Hill, M. Hawrylycz, A. Jones, C. Koch, E. Meijering, G. A. Ascoli, H. Peng. Annual Meeting of the Society for Neuroscience (SfN), San Diego, USA, 2016.
A Novel Method and Objective evaluation of critical points detection in neuron microscopy images
M. Radojević, I. Smal, E. Meijering. BioImage Informatics, Leuven, Belgium, 2014.
Establishment of a benchmark for evaluation and comparison of cell segmentation and tracking algorithms
M. Kozubek, M. Maška, V. Ulman, D. Svoboda, P. Matula, M. Galarraga, M. Radojević, I. Smal, R. Stoklasa, A. Muñoz-Barrutia, E. Meijering, C. Ortiz-de-Solorzano. BioImage Informatics, Leuven, Belgium, 2014.
Critical Points Detection in Neuron Microscopy Images
M. Radojević, I. Smal, W. J. Niessen, E. Meijering. Neuroinformatics, Leiden, Netherlands, 2014.

Technical reports

Nessie VI Autonomous Underwater Vehicle
M. Radojević, M. M. Nawaf, F. Maurelli, T. Tomassson, C. Wang, J. Clay, Y. Petillot. Technical report, SAUCE-E 2011.


Methods for Automated Neuron Image Analysis
M. Radojević
PhD Thesis, Erasmus University, Rotterdam, Netherlands, 2019.
[pdf] [LaTeX]
Underwater Vehicle Localisation using Extended Kalman Filter
M. Radojević
Master Thesis (ViBot), Heriot-Watt University, Edinburgh, UK, 2011.
[pdf] [paper] [poster] [LaTeX]