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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.

Expertise

Engineering & Materials Science
Histology
Magnetic Nanoparticles
Magnetic Resonance Imaging
Medicine & Life Sciences
Gallium Arsenide
Indium Arsenide
Muscular Dystrophies
Sentinel Lymph Node Biopsy
Silicon

Research

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

Publications

Recent
Azargoshasb, S. , Molenaar, L., Rosiello, G., Buckle, T., van Willigen, D. M. , van de Loosdrecht, M. M., Welling, M. M. , Alic, L. , van Leeuwen, F. W. B., Winter, A., & van Oosterom, M. N. (2022). Advancing intraoperative magnetic tracing using 3D freehand magnetic particle imaging. International journal of computer assisted radiology and surgery, 17(1), 211-218. https://doi.org/10.1007/s11548-021-02458-2
Horstman - van de Loosdrecht, M. M. , Molenaar, L. , Krooshoop, E. , ten Haken, B., Meijerink, W. J. H. J. , Alic, L. , & Broeders, I. A. M. J. (2021). Magnetic nanoparticle detector for laparoscopic surgery: assessment of detection sensitivity. Abstract from International congress on computer assisted radiology and surgery, CARS 2021, Munich, Germany.
Alic, L., Griffin, J. F., Eresen, A., Kornegay, J. N., & Ji, J. X. (2021). Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review. Muscle and Nerve, 64(1), 8-22. https://doi.org/10.1002/mus.27133

UT Research Information System

Google Scholar Link

Contact Details

Visiting Address

University of Twente
Faculty of Science and Technology
Technohal (building no. 18), room 2180
Hallenweg 5
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Science and Technology
Technohal  2180
P.O. Box 217
7500 AE Enschede
The Netherlands

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