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dr.ir. L. Alic (Lejla)

Associate Professor

About Me

 

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.

Expertise

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

Research

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).

Publications

Recent
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]. https://doi.org/10.3990/1.9789036556934
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
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

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Education

 

Affiliated Study Programmes

Bachelor

Master

Courses Academic Year  2023/2024

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.
 

Courses Academic Year  2022/2023

Contact Details

Visiting Address

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

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Mailing Address

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

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