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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 Medicine and Dentistry Magnetic Resonance Imaging Sentinel Lymph Node Radioactive Tracer Sentinel Lymph Node Biopsy Breast Cancer Superparamagnetic Iron Oxide Nanoparticle Fluorodeoxyglucose F 18 Tissues Organisations 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 Jump to: 2025 | 2024 | 2023
Magnetic sentinel lymph node detection using superparamagnetic iron oxide in early-stage oral squamous cell carcinoma: design and rationale of the multicenter magnetics trial - study protocol (2025) BMC cancer, 25 (1). Article 1539 (E-pub ahead of print/First online). Donders, D. N. V., Heldens, G. T. N., Tellman, R. S., Takes, R. P., van Bemmel, A. J. M., de Visscher, S. A. H. J., Ghaeminia, H., Alic, L. , Philippens, M. E. P., Scheenen, T. W. J., de Keizer, B. & de Bree, R.https://doi.org/10.1186/s12885-025-14866-7 Head-to-head comparison of fibroblast activation protein inhibitors (FAPI) radiopharmaceuticals and [18F]FDG in gynaecological malignancies: systematic literature review and meta-analysis (2025) European journal of nuclear medicine and molecular imaging, 52 (11), 3975-3989. Florit, A., de Koster, E. J., Sassano, S., Alic, L. , Pisano, G., van Velden, F. H. P., Annunziata, S., Primac, I., Ruggiero, M. R., Müller, C., Sala, E., Fendler, W. P., Scambia, G., de Geus-Oei, L.-F., Fagotti, A., Rufini, V. & Collarino, A.https://doi.org/10.1007/s00259-025-07277-0 Radiomics with Clinical Data and [18F]FDG-PET for Differentiating Between Infected and Non-Infected Intracavitary Vascular (Endo)Grafts: A Proof-of-Concept Study (2025) Diagnostics, 15 (15). Article 1944. van Praagh, G. D., Vos, F., Legtenberg, S., Wouthuyzen-Bakker, M., Kouijzer, I. J. E., Aarntzen, E. H. J. G., de Vries, J.-P. P. M., Slart, R. H. J. A., Alic, L. , Sinha, B. & Saleem, B. R.https://doi.org/10.3390/diagnostics15151944 ASO Visual Abstract: Magnetic Sentinel Lymph Node Biopsy in Early Breast Cancer Patients: An Individual Patient Data Meta-Analysis of Tracer Uptake (2025) Annals of surgical oncology, 32 (4), 2614-2615. Christenhusz, A., Mirzaei, N., Karakatsanis, A., Eriksson, S., Wärnberg, F., Olofsson Bagge, R., van der Palen, J., Simanowski, J., Salamzadeh, S., Ten Haken, B., Dassen, A. & Alic, L. https://doi.org/10.1245/s10434-024-16780-x ASO Author Reflections: Redefining Precision–Insights into Magnetic Sentinel Lymph Node Biopsy for Early Breast Cancer (2025) Annals of surgical oncology, 32 (3), 2106-2107. Christenhusz, A., Mirzaei, N., Wärnberg, F. & Alic, L. https://doi.org/10.1245/s10434-024-16725-4 Magnetic Sentinel Lymph Node Biopsy in Early Breast Cancer Patients: An Individual Patient Data Meta-analysis of Tracer Uptake (2025) Annals of surgical oncology, 32 (3), 2079-2091. Christenhusz, A., Mirzaei, N., Karakatsanis, A., Eriksson, S., Wärnberg, F., Olofsson Bagge, R., van der Palen, J., Simanowski, J., Salamzadeh, S., ten Haken, B., Dassen, A. E. & Alic, L. https://doi.org/10.1245/s10434-024-16626-6 A Machine Learning Model Based on Radiomic Features as a Tool to Identify Active Giant Cell Arteritis on [18 F]FDG-PET Images During Follow-Up (2025) Diagnostics, 15 (3). Article 367. Vries, H. S., van Praagh, G. D., Nienhuis, P. H., Alic, L. & Slart, R. H. J. A.https://doi.org/10.3390/diagnostics15030367 Engineered SPIONs functionalized with endothelin a receptor antagonist ameliorate liver fibrosis by inhibiting hepatic stellate cell activation (2024) Bioactive Materials, 39 , 406-426. ten Hove, M., Smyris, A., Booijink, R., Wachsmuth, L., Hansen, U., Alic, L. , Faber, C., Hӧltke, C. & Bansal, R.https://doi.org/10.1016/j.bioactmat.2024.05.034 Sentinel Lymph Node Mapping in Prostate Cancer: Magnetic Route (2024) JU Open Plus, 2 (8). Article e00081. Molenaar, L., Roelink, H. J. H., Stomps, S., Haken, B. t., Hulsbergen-van de Kaa, C., Braak, S., Veltman, J., Alic, L. & Broeders, I. A. M. J.https://doi.org/10.1097/JU9.0000000000000183 Amide proton transfer weighted imaging in pediatric neuro-oncology: initial experience (2024) NMR in biomedicine, 37 (6). Article e5122. 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.https://doi.org/10.1002/nbm.5122 Magnetic procedure for sentinel lymph node detection and evaluation of metastases: design and rationale of the Lowmag trial (2024) BMC Methods, 1 (1). Article 6. Christenhusz, A., Dassen, A. E., van der Schaaf, M. C., Salamzadeh, S., Brinkhuis, M., ten Haken, B. & Alic, L. https://doi.org/10.1186/s44330-024-00006-3 Technical innovations in breast cancer surgery (2024) [Thesis › PhD Thesis - Research external, graduation UT]. University of Twente. Christenhusz, A. https://doi.org/10.3990/1.9789036561556 The Lowmag Trial: Magnetic procedure for sentinel lymph node detection and metastasis evaluation in breast cancer patients (2024) European journal of cancer, 200 (Supplement 1). Article 113752. Christenhusz, A., Dassen, A., van der Schaaf, M., Salamzadeh, S., Brinkhuis, M., ten Haken, B. & Alic, L. https://doi.org/10.1016/j.ejca.2024.113752 Trends in localization of non-palpable breast lesion: a 10 year analysis in the Dutch population (2024) European journal of cancer, 200 (Supplement 1). Article 113753. Christenhusz, A., Siesling, S., Simanowski, J., van der Palen, J., Brinkhuis, M., van der Schaaf, M., ten Haken, B., Alic, L. & Dassen, A.https://doi.org/10.1016/j.ejca.2024.113753 Influence of Nanoparticle Coating on the Differential Magnetometry and Wireless Actuation of Biohybrid Microrobots (2023) In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2653-2658) (Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); Vol. 2023). IEEE. Magdanz, V., Cumming, J. R., Salamzadeh, S., Tesselaar, S., Alic, L. , Abelmann, L. & S.M. Khalil, I. https://doi.org/10.1109/IROS55552.2023.10341258 Performance of a Nonlinear Magnetic Handheld Probe for Intraoperative Sentinel Lymph Node Detection: A Phantom Study (2023) Annals of surgical oncology, 30 (13), 8735-8742. 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. https://doi.org/10.1245/s10434-023-14166-z Recovery of dilute (bio-based) volatile fatty acids by adsorption with magnetic hyperthermal swing desorption (2023) Separation and purification technology, 323 . Article 124273. Elhami, V., Hempenius, M. A., Vancso, G. J., Krooshoop, E. J. G., Alic, L. , Qian, X., Jebur, M., Wickramasinghe, R. & Schuur, B.https://doi.org/10.1016/j.seppur.2023.124273 Look-up table for assessment of iron content in Magtrace® samples based on Sentimag® (2023) [Dataset Types › Dataset]. 4TU.Centre for Research Data. Salamzadeh, S., Christenhusz, A. & Alic, L. https://doi.org/10.4121/2ad11693-4d07-488f-936e-a3d4d9430ae0 Resolving power phantom for nanoparticles (2023) [Dataset Types › Dataset]. 4TU.Centre for Research Data. Alic, L. , Horstman - van de Loosdrecht, M. & Mocking-Nieuwenhuis, E. https://doi.org/10.4121/20193302 Radiofrequency localization of nonpalpable breast cancer in a multicentre prospective cohort study: feasibility, clinical acceptability, and safety (2023) Breast cancer research and treatment, 201 , 67-75. 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.https://doi.org/10.1007/s10549-023-07006-x Differentiating between giant cell arteritis and atherosclerosis on [18 F]FDG-PET: An explainable machine learning approach (2023) In 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. Vries, H. S., Van Praagh, G. D., Nienhuis, P. H., Bouhali, O., Slart, R. H. J. A. & Alic, L. https://doi.org/10.1109/CBMS58004.2023.00334 Differential Magnetometry: Selective Magnetometry for In Vivo Use (2023) [Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Waanders, S. https://doi.org/10.3990/1.9789036556934 Settings of DiffMag handheld probe for maximal detection depth aiming perioperative lymph node harvesting (2023) International Journal on Magnetic Particle Imaging, 9 (1, suppl. 1). Article 2303052. Salamzadeh, S., Krooshoop, H. J. G., ten Haken, B. & Alic, L. https://doi.org/10.18416/IJMPI.2023.2303052 Near-Infrared Spectral Similarity between Ex Vivo Porcine and In Vivo Human Tissue (2023) Life, 13 (2). Article 357. Vries, E. d., Alic, L. , Schols, R. M., Emanuel, K. S., Wieringa, F. P., Bouvy, N. D. & Tuijthof, G. J. M.https://doi.org/10.3390/life13020357 Intracerebral Hemorrhage Segmentation on Noncontrast Computed Tomography Using a Masked Loss Function U-Net Approach (2023) Journal of Computer Assisted Tomography, 47 (1), 93-101. Coorens, N. A., Lipman, K. G., Krishnam, S. P., Tan, C. O., Alic, L. & Gupta, R.https://doi.org/10.1097/RCT.0000000000001380 Research profiles Affiliated study programs Courses academic year 2025/2026 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 2024/2025 nexMPI Magnetic Particle Imaging (MPI) is a novel technique offering unique clinical opportunities for diagnosis, therapy, and treatment monitoring. It uses non-toxic magnetic nanoparticles and non-ionizing radiation for real-time, quantitative imaging. The NexMPI Action is Europe’s first MPI research network, bringing together scientists to advance MPI access, collaboration, and development.
melaDIFF is a multi-centre clinical trial evaluating the feasibility and usability of the handheld DiffMag magnetometer for localizing sentinel lymph nodes in melanoma patients during SLNB procedures. The study also explores the potential of lymph node mapping and staging through preoperative SPION-enhanced MRI.
MAGNETICS
LowMag trial
InMediValue