dr.ir. L. Alic (Lejla)

Lejla currently holds the position of Associate Professor at the Department of Magnetic Detection and Imaging. Her expertise lies in the fields of medical imaging, computer vision, medical devices, and laparoscopy, as evidenced by her (co-)authorship of over 70 publications (excluding conference abstracts).

Lejla pursued her studies in Electrical Engineering at Delft University of Technology. Under the guidance of Prof. Babuska, she successfully completed her undergraduate program focusing on fuzzy clustering of medical signals. She also worked alongside Dr. ir. van Wijk van Brievingh, Prof. Ince, and Prof. Lelieveldt exploring the analysis of colonoscopy images. In 2013 she obtained het PhD from Erasmus Universiteit Rotterdam (Biomedical imaging Group Rotterdam) supervised by Prof. Niessen. Her research in this period encompassed a wide range of methods for assessing cancer treatment outcomes using pre-clinical and clinical data. Her doctoral thesis, titled ‘Quantification of tumour heterogeneity in MRI’, was defended within two graduate schools: Advanced School for Computing and Imaging and Molecular Medicine.

Throughout her academic journey, Lejla has held research fellowships at esteemed institutions, including Leiden University Medical Center ( Division of Image Processing ), Academic Medical Center University of Amsterdam (Experimental Anaesthesiology), Engineering Science at the University of Oxford (Robotics Research Group, led by Sir. Brady ), Texas A&M University at Qatar ( Department of Electrical and Computer Engineering ). Additionally, she served as a scientific researcher and project leader at TNO , a renowned Dutch contract research institute. In 2019, she assumed the role of Assistant Professor at the Department of Magnetic Detection and Imaging at the University of Twente.

Engineering & Materials Science

# Histology
# Magnetic Nanoparticles
# Nanoparticles

Medicine & Life Sciences

# Ferric Oxide
# Gallium Arsenide
# Indium Arsenide
# Nanoparticles
# Sentinel Lymph Node Biopsy

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

Obdeijn, I. V., Wiegers, E. C. , Alic, L., Plasschaert, S. L. A., Kranendonk, M. E. G., Hoogduin, H. M., Klomp, D. W. J., Wijnen, J. P., & Lequin, M. H. (2024). Amide proton transfer weighted imaging in pediatric neuro-oncology: initial experience. NMR in biomedicine. Advance online publication. https://doi.org/10.1002/nbm.5122

Magdanz, V., Cumming, J. R., Salamzadeh, S., Tesselaar, S. , Alic, L. , Abelmann, L. , & S.M. Khalil, I. (2023). Influence of Nanoparticle Coating on the Differential Magnetometry and Wireless Actuation of Biohybrid Microrobots. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2653-2658). IEEE. https://doi.org/10.1109/IROS55552.2023.10341258

Nieuwenhuis, E. R. , Mir, N. , Horstman-van de Loosdrecht, M. M., Meeuwis, A. P. W., de Bakker, M. G. J., Scheenen, T. W. J. , & Alic, L. (2023). Performance of a Nonlinear Magnetic Handheld Probe for Intraoperative Sentinel Lymph Node Detection: A Phantom Study. Annals of surgical oncology, 30(13), 8735-8742. https://doi.org/10.1245/s10434-023-14166-z

Elhami, V. , Hempenius, M. A. , Vancso, G. J. , Krooshoop, E. J. G. , Alic, L., Qian, X., Jebur, M., Wickramasinghe, R. , & Schuur, B. (2023). Recovery of dilute (bio-based) volatile fatty acids by adsorption with magnetic hyperthermal swing desorption. Separation and purification technology, 323, Article 124273. https://doi.org/10.1016/j.seppur.2023.124273

Vries, H. S., Van Praagh, G. D., Nienhuis, P. H., Bouhali, O. , Slart, R. H. J. A. , & Alic, L. (2023). Differentiating between giant cell arteritis and atherosclerosis on [¹⁸F]FDG-PET: An explainable machine learning approach. In R. Sicilia, B. Kane, J. R. Almeida, M. Spiliopoulou, J. A. B. Andrades, G. Placidi, & A. R. Gonzalez (Eds.), 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 870-875). (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2023-June). IEEE. https://doi.org/10.1109/CBMS58004.2023.00334

Christenhusz, A., den Dekker, B. M., van Dalen, T., Jongen, L., van der Schaaf, M. C. , Alic, L. , ten Haken, B., Pijnappel, R. M., & Dassen, A. E. (2023). Radiofrequency localization of nonpalpable breast cancer in a multicentre prospective cohort study: feasibility, clinical acceptability, and safety. Breast cancer research and treatment, 201, 67-75. https://doi.org/10.1007/s10549-023-07006-x

Waanders, S. (2023). Differential Magnetometry: Selective Magnetometry for In Vivo Use. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036556934

Salamzadeh, S. , Krooshoop, H. J. G. , ten Haken, B. , & Alic, L. (2023). Settings of DiffMag handheld probe for maximal detection depth aiming perioperative lymph node harvesting. International Journal on Magnetic Particle Imaging, 9(1, suppl. 1), Article 2303052. https://doi.org/10.18416/IJMPI.2023.2303052

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), Article 357. https://doi.org/10.3390/life13020357

Horstman - van de Loosdrecht, M. M., Kahmann, T., Ludwig, F. , & Alic, L. (2022). Tuning Excitation Field Frequency for Magnetic Particle Sensing using Superparamagnetic Quantifier. Journal of biomedical nanotechnology, 18(8), 1994-2000. https://doi.org/10.1166/jbn.2022.3406

Molenaar, L. , Loosdrecht, M. M. H. V. D. , Alic, L., Baarlen, J. V., Meijerink, J. J. H. J. , Haken, B. T. , Broeders, I. A. M. J., & Lips, D. J. (2022). Quantification of Magnetic Nanoparticles in ex vivo Colorectal Lymph Nodes. Nano LIFE, 12(03), Article 2250006. https://doi.org/10.1142/S1793984422500064

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), Article 2203053. https://doi.org/10.18416/ijmpi.2022.2203053

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), Article 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), Article 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. Article 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), Article 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, Article 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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Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.