dr.ir. L. Alic (Lejla)

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 MRI’ was 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

# Histology
# Magnetic Nanoparticles
# Magnetic Resonance Imaging

Medicine & Life Sciences

# Gallium Arsenide
# Indium Arsenide
# Muscular Dystrophies
# Sentinel Lymph Node Biopsy
# Silicon

Faculty of Science and Technology (TNW), Magnetic Detection and Imaging (MD&I)

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

Nieuwenhuis, E. R. , Kolenaar, B., Hof, J. J., Baarlen, J. V., van Bemmel, A. J. M. , Christenhusz, A., Scheenen, T. W. J. , Ten Haken, B., de Bree, R. , & Alic, L. (2022). A Comprehensive Grading System for a Magnetic Sentinel Lymph Node Biopsy Procedure in Head and Neck Cancer Patients. Cancers, 14(3), [678]. https://doi.org/10.3390/cancers14030678

Christenhusz, A. , Pouw, J. J. , Simonis, F. F. J., Douek, M., Ahmed, M., Klaase, J. M., Dassen, A. E., Klazen, C. A. H., van der Schaaf, M. C. , ten Haken, B. , & Alic, L. (2022). Breast MRI in patients after breast conserving surgery with sentinel node procedure using a superparamagnetic tracer. European radiology experimental, 6(1), [3]. https://doi.org/10.1186/s41747-021-00257-7

van de Loosdrecht, M. , Molenaar, L. , Krooshoop, E. , Haken, B. T., Meijerink, J. , Alic, L. , & Broeders, I. A. M. J. (2022). Laparoscopic Probe for Sentinel Lymph Node Harvesting using Magnetic Nanoparticles. IEEE transactions on biomedical engineering, 69(1), 286-293. https://doi.org/10.1109/TBME.2021.3092437

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

Nieuwenhuis, E. R. , Kolenaar, B., Hof, J., van Baarlen, J. , Christenhusz, A., de Bree, R. , & Alic, L. (2021). Magnetic tracer uptake within sentinel lymph nodes in an oral cancer patient cohort. Oral Oncology, 118(Supplement), 9. [P-20 ]. https://doi.org/10.1016/S1368-8375(21)00309-2

Rietberg, M. T. , Waanders, S. , Horstman-Van de Loosdrecht, M. M., Wildeboer, R. R. , Haken, B. T. , & Alic, L. (2021). Modelling of dynamic behaviour in magnetic nanoparticles. Nanomaterials, 11(12), [3396]. https://doi.org/10.3390/nano11123396

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.

Nieuwenhuis, E. R. , Kolenaar, B., van Bemmel, A. J. M., Hof, J. J., van Baarlen, J. , Christenhusz, A. , Pouw, J. J. , ten Haken, B. , Alic, L., & de Bree, R. (2021). A complete magnetic sentinel lymph node biopsy procedure in oral cancer patients: A pilot study. Oral Oncology, 121, [105464]. https://doi.org/10.1016/j.oraloncology.2021.105464

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

Heukelom, J., Bouvy, N. D. , Alic, L., Burie, M., Graham, V., Schols, R. M., Wieringa, F. P. , & Tuijthof, G. J. M. (2020). Head worn 3D-Visualization of the Invisible for Surgical Intra-Operative Augmented Reality H3D-VISIOnAiR. In ATTRACT Final Conference (pp. 1-6) https://www.researchgate.net/publication/345258948_Head-worn_3D-Visualization_of_the_Invisible_for_Surgical_Intra-Operative_Augmented_Reality_H3D-VISIOnAiR

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Bachelor

Master

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