  | Mirizzi, G.* , Jelke, F.* , Pilot, M., Klein, K., Klamminger, G. G., GERARDY, J.-J., Theodoropoulou, M., MOMBAERTS, L., HUSCH, A., MITTELBRONN, M., HERTEL, F., & Kleine Borgmann, F. B. (06 March 2024). Impact of Formalin- and Cryofixation on Raman Spectra of Human Tissues and Strategies for Tumor Bank Inclusion. Molecules, 29 (5), 1167. doi:10.3390/molecules29051167  Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Klein, K.* , Klamminger, G. G.* , MOMBAERTS, L., Jelke, F., Arroteia, I. F., Slimani, R., Mirizzi, G., HUSCH, A., FRAUENKNECHT, K., MITTELBRONN, M., HERTEL, F., & Kleine Borgmann, F. B. (23 February 2024). Computational Assessment of Spectral Heterogeneity within Fresh Glioblastoma Tissue Using Raman Spectroscopy and Machine Learning Algorithms. Molecules, 29 (5), 979. doi:10.3390/molecules29050979 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
Yabo, Y. A., Moreno-Sanchez, P. M., Pires-Afonso, Y., Kaoma, T., Nosirov, B., Scafidi, A., Ermini, L., Lipsa, A., Oudin, A., KYRIAKIS, D., GRZYB, K., POOVATHINGAL, S. K., Poli, A., Muller, A., TOTH, R., KLINK, B., BERCHEM, G. J. M. J., Berthold, C., HERTEL, F., ... GOLEBIEWSKA, A. (2023). Glioblastoma-instructed microglia transition to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenografts. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/60199. doi:10.1101/2023.03.05.531162 |
 | Biswas, A., Salvucci, M., Connor, K., Düssmann, H., Carberry, S., Fichtner, M., King, E., Murphy, B., O'Farrell, A. C., Cryan, J., Beausang, A., Heffernan, J., Cremona, M., Hennessy, B. T., Clerkin, J., Sweeney, K. J., MacNally, S., Brett, F., O'Halloran, P., ... Prehn, J. H. M. (June 2023). Comparative analysis of deeply phenotyped GBM cohorts of 'short-term' and 'long-term' survivors. Journal of Neuro-Oncology, 163 (2), 327-338. doi:10.1007/s11060-023-04341-3 Peer Reviewed verified by ORBi |
 | Garcia Santa Cruz, B., Husch, A., & Hertel, F. (2023). Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions. Frontiers in Aging Neuroscience, 15. doi:10.3389/fnagi.2023.1216163 Peer reviewed |
 | Baniasadi, M., Petersen, M. V., Goncalves, J., Horn, A., Vlasov, V., Hertel, F., & Husch, A. (2022). DBSegment: Fast and robust segmentation of deep brain structures considering domain generalisation. Human Brain Mapping. doi:10.1002/hbm.26097 Peer Reviewed verified by ORBi |
Magni, S., Bremm, R. P., Lecossois, S., He, X., Garía Santa Cruz, B., Mombaerts, L., Husch, A., Goncalves, J., & Hertel, F. (05 September 2022). Analysis and comparison of gait impairments in patients with Parkinson’s disease and normal pressure hydrocephalus using wearable sensors and machine learning algorithms [Paper presentation]. 19th Biennial Meeting of the World Society for Stereotactic & Functional Neurosurgery (WSSFN 2022), Incheon, South Korea. |
 | Garcia Santa Cruz, B., Sölter, J., Gomez Giro, G., Saraiva, C., Sabaté Soler, S., Modamio Chamarro, J., Barmpa, K., Schwamborn, J. C., Hertel, F., Jarazo, J., & Husch, A. (2022). Generalising from conventional pipelines using deep learning in high‑throughput screening workfows. Scientific Reports. doi:10.1038/s41598-022-15623-7 Peer Reviewed verified by ORBi |
 | Garcia Santa Cruz, B., Husch, A., & Hertel, F. (2022). The effect of dataset confounding on predictions of deep neural networks for medical imaging. In Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022 (pp. 8). doi:10.7557/18.6302 Peer reviewed |
 | Garcia Santa Cruz, B., Bossa, M. N., Soelter, J., Hertel, F., & Husch, A. (2022). Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. In Bildverarbeitung für die Medizin 2022. Informatik aktuell. Springer Vieweg, Wiesbaden (pp. 114). doi:10.1007/978-3-658-36932-3_24 Peer reviewed |
Baniasadi, M., Husch, A., Proverbio, D., fernandes arroteia, I., Hertel, F., & Goncalves, J. (2022). Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data. In Bildverarbeitung für die Medizin 2022. Springer. doi:10.1007/978-3-658-36932-3_62 Peer reviewed |
Garcia Santa Cruz, B., Vega Moreno, C. G., & Hertel, F. (16 November 2021). The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions [Paper presentation]. Computational Intelligence Methods for Bioinformatics and Biostatistics 2021. doi:10.5281/zenodo.5729350 |
  | Bremm, R. P., Berthold, C., Krüger, R., Koch, K. P., Goncalves, J., & Hertel, F. (2021). Therapeutic maps for a sensor-based evaluation of deep brain stimulation programming. Biomedizinische Technik. Biomedical Engineering. doi:10.1515/bmt-2020-0210 Peer Reviewed verified by ORBi |
Garcia Santa Cruz, B., Bossa, M. N., Sölter, J., Husch, A., & Hertel, F. (August 2021). Model bias and its impact on computer-aided diagnosis: A data-centric approach [Poster presentation]. 2021 MLSS. doi:10.5281/zenodo.5205671 |
 | Klamminger, G. G., Gerardy, J.-J., Jelke, F., Mirizzi, G., Slimani, R., Klein, K., Husch, A., Hertel, F., Mittelbronn, M., & Kleine-Borgmann, F. B. (2021). Application of Raman Spectroscopy for Detection of Histologically Distinct Areas in Formalin-fixed Paraffin-embedded (FFPE) Glioblastoma. Neuro-Oncology Advances. doi:10.1093/noajnl/vdab077 Peer Reviewed verified by ORBi |
 | Vlasov, V., Bofferding, M., Marx, L. M., Zhang, C., Goncalves, J., Husch, A., & Hertel, F. (2021). Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images. In Bildverarbeitung für die Medizin 2021 (pp. 92-97). doi:10.1007/978-3-658-33198-6_22 Peer reviewed |
 | Klamminger, G. G., Klein, K., Mombaerts, L., Jelke, F., Mirizzi, G., Slimani, R., Husch, A., Mittelbronn, M., Hertel, F., & Borgmann, F. B. K. (2021). Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms. Free Neuropathology, 2, 26-26. doi:10.17879/freeneuropathology-2021-3458 Peer Reviewed verified by ORBi |
 | Jelke, F., Mirizzi, G., Borgmann, F. K., Husch, A., Slimani, R., Klamminger, G. G., Klein, K., Mombaerts, L., Gerardy, J.-J., Mittelbronn, M., & Hertel, F. (2021). Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy. Scientific Reports, 1--10. doi:10.1038/s41598-021-02977-7 Peer Reviewed verified by ORBi |
 | Bremm, R. P., Koch, K. P., Krüger, R., Goncalves, J., & Hertel, F. (26 November 2020). Analysis and visualisation of tremor dynamics in deep brain stimulation patients. Current Directions in Biomedical Engineering, 6 (3), 4. doi:10.1515/cdbme-2020-3030 Peer Reviewed verified by ORBi |
 | Bremm, R. P., Koch, K. P., Krüger, R., Hertel, F., & Goncalves, J. (26 November 2020). A rule-based expert system for real-time feedback-control in deep brain stimulation. Current Directions in Biomedical Engineering, 6 (3), 4. doi:10.1515/cdbme-2020-3027 Peer Reviewed verified by ORBi |
 | Golebiewska, A., Hau, A.-C., Oudin, A., Stieber, D., Yabo, Y. A., Baus, V., Barthelemy, V., Klein, E., Bougnaud, S., Keunen, O., Wantz, M., Michelucci, A., Neirinckx, V., Muller, A., Kaoma, T., Nazarov, P. V., Azuaje, F., De Falco, A., Flies, B., ... Niclou, S. (2020). Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology. Acta Neuropathologica. doi:10.1007/s00401-020-02226-7 Peer Reviewed verified by ORBi |
 | Garcia Santa Cruz, B., Husch, A., & Hertel, F. (2020). Automatic Detection of Nigrosome Degeneration in Susceptibility-Weighted MRI for Computer-Aided Diagnosis of Parkinson’s Disease Using Machine Learning. Movement Disorders. doi:10.1002/mds.28267 Peer reviewed |
 | Baniasadi, M., Proverbio, D., Goncalves, J., Hertel, F., & Husch, A. (2020). FastField: An Open-Source Toolbox for Efficient Approximation of Deep Brain Stimulation Electric Fields. NeuroImage. doi:10.1016/j.neuroimage.2020.117330 Peer Reviewed verified by ORBi |
 | Golebiewska, A., Hau, A.-C., Oudin, A., Stieber, D., Yabo, Y. A., Baus, V., Barthelemy, V., Klein, E., Bougnaud, S., Keunen, O., Wantz, M., Michelucci, A., Neirinckx, V., Muller, A., Kaoma, T., Nazarov, P. V., Azuaje, F., De Falco, A., Flies, B., ... Niclou, S. (2020). Primary and recurrent glioma patient-derived orthotopic xenografts (PDOX) represent relevant patient avatars for precision medicine. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/43022. doi:10.1101/2020.04.24.057802 |
 | Arroteia, I. F., Husch, A., Baniasadi, M., & Hertel, F. (2020). Impressive weight gain after deep brain stimulation of nucleus accumbens in treatment- resistant bulimic anorexia nervosa. BMJ Case Reports, 1--4. doi:10.1136/bcr-2020-239316 Peer Reviewed verified by ORBi |
 | Garcia Santa Cruz, B., Jarazo, J., Saraiva, C., Gomez Giro, G., Modamio Chamarro, J., Sabaté Soler, S., Kyriaki, B., Antony, P., Schwamborn, J. C., Hertel, F., & Husch, A. (29 November 2019). From tech to bench: Deep Learning pipeline for image segmentation of high-throughput high-content microscopy data [Poster presentation]. Advances in Computational Biology, Barcelona, Spain. |
 | Garcia Santa Cruz, B., Jarazo, J., Schwamborn, J. C., Hertel, F., & Husch, A. (10 October 2019). Deep Learning Quality Control for High-Throughput High-Content Screening Microscopy Images [Poster presentation]. EMBO|EMBL Symposia - Seeing is Believing - Imaging the Molecular Processes of Life, Heidelberg, Germany. |
 | Zhang, C., Kim, S.-G., Li, D., Zhang, Y., Li, Y., Husch, A., Hertel, F., Yan, F., Voon, V., & Sun, B. (2019). Habenula deep brain stimulation for refractory bipolar disorder. Brain Stimulation. doi:10.1016/j.brs.2019.05.010 Peer Reviewed verified by ORBi |
Kleine Borgmann, F., Husch, A., Slimani, R., Jelke, F., Mirizzi, G., Klein, K., Mittelbronn, M., & Hertel, F. (2019). PATH-29. POTENTIAL OF RAMAN SPECTROSCOPY IN ONCOLOGICAL NEUROSURGERY [Poster presentation]. 24th Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology, Phoenix, Arizona, United States. doi:10.1093/neuonc/noz175.625 |
Hertel, F. (2018). Dystone Bewegungsstörungen bei Kindern. In H. Bächli, J. Lütschg, ... M. Messing-Jünger (Eds.), Pädiatrische Neurochirurgie (pp. 595-605). Springer. doi:10.1007/978-3-662-48700-6_52 |
 | Husch, A., Petersen, M. V., Gemmar, P., Goncalves, J., & Hertel, F. (2018). PaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation. NeuroImage: Clinical, 17, 80 - 89. doi:10.1016/j.nicl.2017.10.004 Peer Reviewed verified by ORBi |
 | Husch, A., Petersen, M. V., Gemmar, P., Goncalves, J., Sunde, N., & Hertel, F. (2018). Post-operative deep brain stimulation assessment: Automatic data integration and report generation. Brain Stimulation. doi:10.1016/j.brs.2018.01.031 Peer reviewed |
 | Bernard, F., Salamanca Mino, L., Thunberg, J., Tack, A., Jentsch, D., Lamecker, H., Zachow, S., Hertel, F., Goncalves, J., & Gemmar, P. (May 2017). Shape-aware surface reconstruction from sparse 3D point-clouds. Medical Image Analysis, 38, 77-89. doi:10.1016/j.media.2017.02.005 Peer Reviewed verified by ORBi |
 | Husch, A., Gemmar, P., Thunberg, J., & Hertel, F. (2017). Integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery. In R. Webster & B. Fei (Eds.), Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling (pp. 10135-16). SPIE. doi:10.1117/12.2255894 Peer reviewed |
 | Bernard, F., Vlassis, N., Gemmar, P., Husch, A., Thunberg, J., Goncalves, J., & Hertel, F. (2016). Fast Correspondences for Statistical Shape Models of Brain Structures. In SPIE Medical Imaging. doi:10.1117/12.2206024 Peer reviewed |
 | Bernard, F., Gemmar, P., Hertel, F., Goncalves, J., & Thunberg, J. (2016). Linear Shape Deformation Models with Local Support using Graph-based Structured Matrix Factorisation. In Linear Shape Deformation Models with Local Support using Graph-based Structured Matrix Factorisation. doi:10.1109/CVPR.2016.607 Peer reviewed |
 | Bernard, F., Salamanca Mino, L., Thunberg, J., Hertel, F., Goncalves, J., & Gemmar, P. (2015). Shape-aware 3D Interpolation using Statistical Shape Models. In Shape Symposium (pp. 11). Peer reviewed |
 | Bernard, F., Thunberg, J., Gemmar, P., Hertel, F., Husch, A., & Goncalves, J. (2015). A solution for Multi-Alignment by Transformation Synchronisation. In The proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. Peer reviewed |
 | Bernard, F., Thunberg, J., Salamanca Mino, L., Gemmar, P., Hertel, F., Goncalves, J., & Husch, A. (2015). Transitively Consistent and Unbiased Multi-Image Registration Using Numerically Stable Transformation Synchronisation. MIDAS Journal. Peer reviewed |
 | Husch, A., Gemmar, P., Lohscheller, J., Bernard, F., & Hertel, F. (2015). Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation. In H. Handels, T. M. Deserno, H.-P. Meinzer, ... T. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2015 (pp. 77-82). Springer Berlin Heidelberg. doi:10.1007/978-3-662-46224-9_15 Peer reviewed |
 | Hana, A., Dooms, G., Boecher-Schwarz, H., & Hertel, F. (2015). Diffusion tensor imaging--arcuate fasciculus and the importance for the neurosurgeon. Clinical Neurology and Neurosurgery, 132, 61-7. doi:10.1016/j.clineuro.2015.03.001 Peer Reviewed verified by ORBi |
 | Matge, G., Berthold, C., Gunness, V. R. N., Hana, A., & Hertel, F. (2015). Stabilization with the Dynamic Cervical Implant: a novel treatment approach following cervical discectomy and decompression. Journal of Neurosurgery. Spine, 22 (3), 237-45. doi:10.3171/2014.10.SPINE131089 Peer Reviewed verified by ORBi |
 | Hana, A., Hana, A., Dooms, G., Boecher-Schwarz, H., & Hertel, F. (2015). Visualization of the medial forebrain bundle using diffusion tensor imaging. Frontiers in Neuroanatomy, 9, 139. doi:10.3389/fnana.2015.00139 Peer Reviewed verified by ORBi |
 | Hertel, F., Husch, A., Dooms, G., Bernard, F., & Gemmar, P. (2015). Susceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning. Stereotactic and Functional Neurosurgery, 93 (5), 303-308. doi:10.1159/000433445 Peer Reviewed verified by ORBi |
 | Bernard, F., Gemmar, P., Husch, A., Saleh, C., Neb, H., Dooms, G., & Hertel, F. (2014). Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation. Biomedizinische Technik. Biomedical Engineering, 59 (1), 131-134. doi:10.1515/bmt-2014-5008 Peer reviewed |
 | Bernard, F., Gemmar, P., Husch, A., & Hertel, F. (2014). An Extensible Development Environment for 3D Segmentations based on Active Shape Models. In Shape Symposium (pp. 39). Peer reviewed |
 | Hana, A., Husch, A., Gunness, V. R. N., Berthold, C., Hana, A., Dooms, G., Boecher Schwarz, H., & Hertel, F. (2014). DTI of the visual pathway - white matter tracts and cerebral lesions. Journal of Visualized Experiments, (90). doi:10.3791/51946 Peer Reviewed verified by ORBi |
 | Gunness, V. R. N., Dooms, G., Wauschkuhn, B., Feiden, W., & Hertel, F. (2014). Holmes tremor in a patient with progressive multifocal leukoencephalopathy. Surgical Neurology International, 5 (Suppl 8), 413-5. doi:10.4103/2152-7806.140205 Peer reviewed |
 | Stieber, D., Golebiewska, A., Evers, L., Lenkiewicz, E., Brons, N. H. C., Nicot, N., Oudin, A., Bougnaud, S., Hertel, F., Bjerkvig, R., Vallar, L., Barrett, M. T., & Niclou, S. (2014). Glioblastomas are composed of genetically divergent clones with distinct tumourigenic potential and variable stem cell-associated phenotypes. Acta Neuropathologica, 127 (2), 203-19. doi:10.1007/s00401-013-1196-4 Peer Reviewed verified by ORBi |
 | Timmermann, L., Schupbach, M., Hertel, F., Wolf, E., Eleopra, R., Franzini, A., Servello, D., Skogseid, I.-M., Rumia, J., Aliaga, A. S., Barbe, M. T., Pauls, K. A. M., Lin, J.-P., Moro, E., Lloyd, A., & Maarouf, M. (2013). A new rechargeable device for deep brain stimulation: a prospective patient satisfaction survey. European Neurology, 69 (4), 193-9. doi:10.1159/000342236 Peer Reviewed verified by ORBi |
 | Golebiewska, A., Bougnaud, S., Stieber, D., Brons, N. H. C., Vallar, L., Hertel, F., Klink, B., Schrock, E., Bjerkvig, R., & Niclou, S. (2013). Side population in human glioblastoma is non-tumorigenic and characterizes brain endothelial cells. Brain: a Journal of Neurology, 136 (Pt 5), 1462-75. doi:10.1093/brain/awt025 Peer Reviewed verified by ORBi |
Gielen, F. L. H., Hertel, F., Gemmar, P., & Appenrodt, P. (2012). System for navigating a planned procedure within a body. (US Patent 8,150,497). Google Patents. |
Gielen, F. L. H., Hertel, F., Gemmar, P., & Appenrodt, P. (2012). Method for identification of anatomical landmarks. (US Patent 8,150,498). Google Patents. |
Gielen, F. L. H., Hertel, F., Gemmar, P., & Appenrodt, P. (2012). Method for planning a surgical procedure. (US Patent 8,160,676). Google Patents. |
 | Lueken, U., Schwarz, M., Hertel, F., Schweiger, E., & Wittling, W. (2008). Impaired performance on the Wisconsin Card Sorting Test under left- when compared to right-sided deep brain stimulation of the subthalamic nucleus in patients with Parkinson's disease. Journal of Neurology, 255 (12), 1940-8. doi:10.1007/s00415-009-0040-1 Peer Reviewed verified by ORBi |
 | Hertel, F., Zuchner, M., Weimar, I., Gemmar, P., Noll, B., Bettag, M., & Decker, C. (2006). Implantation of electrodes for deep brain stimulation of the subthalamic nucleus in advanced Parkinson's disease with the aid of intraoperative microrecording under general anesthesia. Neurosurgery, 59 (5), 1138; discussion E1138. doi:10.1227/01.NEU.0000245603.77075.55 Peer Reviewed verified by ORBi |
Hertel, F., Walter, C., Bettag, M., & Morsdorf, M. (2006). Perfusion-weighted Magnetic Resonance Imaging in Patients with Vasospasm: A Useful New Tool in the Management of Patients with Subarachnoid Hemorrhage. Neurosurgery, 58 (3), 590. Peer Reviewed verified by ORBi |
Bettag, M., Hertel, F., Preiß, J., & Schmieder, A. (2006). Kapitel 19 - ZNS-Tumoren. In B. Pfeifer, ???, J. Preiß, ???, ... C. Unger (Eds.), Onkologie integrativ (pp. 597 - 604). Munich, Unknown/unspecified: Urban & Fischer. doi:10.1016/B978-343756420-8.50027-5 |
 | Hertel, F., Zuchner, M., Decker, C., Erken, E., Libri, S., Schmitt, M., & Bettag, M. (2006). Unilateral Holmes tremor, clearly responsive to cerebrospinal fluid release, in a patient with an ischemic midbrain lesion and associated chronic hydrocephalic ventricle enlargement. Case report. Journal of Neurosurgery, 104 (3), 448-51. doi:10.3171/jns.2006.104.3.448 Peer reviewed |
 | Hertel, F., Walter, C., Bettag, M., & Morsdorf, M. (2005). Perfusion-weighted magnetic resonance imaging in patients with vasospasm: a useful new tool in the management of patients with subarachnoid hemorrhage. Neurosurgery, 56 (1), 28-35; discussion 35. doi:10.1227/01.NEU.0000144866.28101.6D Peer Reviewed verified by ORBi |
 | Walter, C., Hertel, F., Naumann, E., & Morsdorf, M. (2005). Alteration of cerebral perfusion in patients with idiopathic normal pressure hydrocephalus measured by 3D perfusion weighted magnetic resonance imaging. Journal of Neurology, 252 (12), 1465-71. doi:10.1007/s00415-005-0891-z Peer Reviewed verified by ORBi |
Bettag, M., Busert, C., & Hertel, F. (2002). Computerassistierte Hirnoperationen. In E. Laubach, F. Mau, ... T. Mau (Eds.), Medizin im 21. Jahrhundert: Molekulare Medizin, Mikrotherapie und High-Tech-Operationen (pp. 293--303). Berlin, Heidelberg, Unknown/unspecified: Springer Berlin Heidelberg. doi:10.1007/978-3-642-56302-7_11 |