dr.ir. L. Alic (Lejla)

Assistant Professor

About Me

Lejla Alic studied Electrical Engineering at Delft University of Technology, the Netherlands. She graduated under Prof. Babuska (BSc 1999) on fuzzy clustering of medical signals, and under Dr. ir. van Wijk van Brievingh, Prof. Ince, and Prof. Lelieveldt (MSc 2001) on analysis of colonoscopy images. In 2013 she earned, under supervision of Prof. Niessen, a PhD from Erasmus Universiteit Rotterdam (Biomedical imaging Group Rotterdam) where she has worked on a broad range of methods for assessment and prediction of treatment outcome in pre-clinical and clinical oncology data. Her thesis entitled ‘Quantification of tumour heterogeneity in MRIwas defended at advanced school for computing and imaging. In the time before and after her graduate school, she was a research fellow at Leiden University Medical Center (Division of Image Processing), at Academic Medical Center university of Amsterdam (Experimental Anesthesiology), and at Engineering Science (University of Oxford - Robotics Research Group, headed by Sir. Brady) . Furthermore, she was also a scientific researcher and project leader at TNO (Dutch contract research institute). In 2017 she started at Texas A&M University at Qatar (Department of Electrical and Computer Engineering) as an Assistant Research Scientist responsible for a variety of imaging applications including analysis of MRI and histology data, initiating new collaborations in the field of medical signal/image processing and analytics with a focus in machine learning.

In 2019 she was appointed as an Assistant Professor at the Department of Magnetic Detection and Imaging. She has (co-)authored over 30 publications (conference abstracts excluded) in the field of medical image analysis, computer vision, and laparoscopy.


Engineering & Materials Science
Magnetic Nanoparticles
Medicine & Life Sciences
Ferric Oxide
Gallium Arsenide
Indium Arsenide
Sentinel Lymph Node Biopsy


Lejla is currently an Assistant Professor with the Department of Magnetic Detection and Imaging, heading the clinical applications of magnetic particle detectors.


Coorens, N. A., Lipman, K. G., Krishnam, S. P., Tan, C. O. , Alic, L., & Gupta, R. (2023). Intracerebral Hemorrhage Segmentation on Noncontrast Computed Tomography Using a Masked Loss Function U-Net Approach. Journal of Computer Assisted Tomography, 47(1), 93-101. https://doi.org/10.1097/RCT.0000000000001380
Vries, E. D. , Alic, L., Schols, R. M., Emanuel, K. S., Wieringa, F. P., Bouvy, N. D. , & Tuijthof, G. J. M. (2023). Near-Infrared Spectral Similarity between Ex Vivo Porcine and In Vivo Human Tissue. Life, 13(2), [357]. https://doi.org/10.3390/life13020357
Molenaar, L. , Horstman-van de Loosdrecht, M. M. , Krooshoop, H. J. G. , Wesselink, R. J. H. , Ten Haken, B. , Broeders, I. A. M. J. , & Alic, L. (2022). Excitation coil for sentinel lymph node harvesting: design, digital twin and prototype. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2022, 4402-4406. https://doi.org/10.1109/EMBC48229.2022.9871415
Nieuwenhuis, E. R. (2022). Magnetic identification of sentinel lymph nodes in the head and neck: Reaching leaves. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036554114
Alic, L. , Riahi, K. , Horstman-Van de Loosdrecht, M. M., Rietberg, M. T., Perez Y Perez, J., Dijkstra, C. , & Ten Haken, B. (2022). Changing iron content and excitation field: Comparative study of Synomag® nanoparticles. International Journal on Magnetic Particle Imaging, 8(1), [2203053]. https://doi.org/10.18416/ijmpi.2022.2203053

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University of Twente
Faculty of Science and Technology
Technohal (building no. 18), room 2186
Hallenweg 5
7522NH  Enschede
The Netherlands

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University of Twente
Faculty of Science and Technology
Technohal  2186
P.O. Box 217
7500 AE Enschede
The Netherlands

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