Profil

HERTEL Frank

University of Luxembourg

Main Referenced Co-authors
HUSCH, Andreas  (30)
GONCALVES, Jorge  (16)
Gemmar, Peter (15)
BERNARD, Florian  (10)
GARCIA SANTA CRUZ, Beatriz  (9)
Main Referenced Keywords
Humans (12); Male (9); Aged (8); Middle Aged (8); Female (7);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB): Systems Control (Goncalves Group) (4)
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) (2)
Luxembourg Centre for Systems Biomedicine (LCSB): Integrative Cell Signalling (Skupin Group) (2)
Centre Hospitalier de Luxembourg: National Department of Neurosurgery (Hertel Group) (1)
Centre Hospitalier du Luxembourg and Luxembourg Centre for Systems Biomedicine (1)
Main Referenced Disciplines
Computer science (12)
Human health sciences: Multidisciplinary, general & others (11)
Neurology (10)
Engineering, computing & technology: Multidisciplinary, general & others (9)
Oncology (9)

Publications (total 60)

The most downloaded
808 downloads
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 https://hdl.handle.net/10993/30242

The most cited

138 citations (Scopus®)

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 https://hdl.handle.net/10993/33063

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

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

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

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

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

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

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

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

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

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

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