Published publications

Status: June 2024

  • 22 June 2024
    • Welten, S., de Arruda Botelho Herr, M., Hempel, L., Hieber, D., Placzek, P., Graf, M., Weber, S., Neumann, L., Jugl, M., Tirpitz, L., Kindermann, K., Geisler, S., Bonino da Silva Santos, L. O., Decker, S., Pfeifer, N., Kohlbacher, O., & Kirsten, T. (2024). A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis. Scientific data, 11(1), 663. https://doi.org/10.1038/s41597-024-03450-6.
  • 05 June 2024
    • Semler, S.C., Boeker, M., Eils, R., Krefting, D., Loeffler, M., Bussmann, J., Wissing, F. & Prokosch, H.U. (2024). Die Medizininformatik-Initiative im Überblick – Aufbau einer Gesundheitsforschungsdateninfrastruktur in Deutschland. Bundesgesundheitsbl 67, 616–628. https://doi.org/10.1007/s00103-024-03887-5.
  • 16 May 2024
    • Ammon, D., Kurscheidt, M., Buckow, K.,  Kirsten, T., Löbe, M., Meineke, F., Prasser, F., Saß, J., Sax, U., Stäubert, S., Thun, S.,  Wettstein, R., Wiedekopf, J. P., Wodke, J., Boeker, M. & Ganslandt, T. (2024). Arbeitsgruppe Interoperabilität: Kerndatensatz und Informationssysteme für Integration und Austausch von Daten in der Medizininformatik-Initiative. Bundesgesundheitsbl. https://doi.org/10.1007/s00103-024-03888-4.
  • 29 April 2024
    • Kirsten, T., Kleinert, P., Gebhardt, M., Drepper, J., Andreeff, A.-K., Prasser, F. & Kohlbacher, O. (2024). Grundlagen für die wissenschaftliche Nutzung umfangreicher Versorgungsdaten in Deutschland – Ergebnisse der AG Data Sharing der Medizininformatik-Initiative. Bundesgesundheitsbl. https://doi.org/10.1007/s00103-024-03880-y.
  • 24 April 2024
    • Klausen, T., Hartig, V., Fuchs, D., Krueger, N., Jeltsch V, M., Bild, R. & Scheible, R. (2024). A Digital Vaccination Pass Using Fast Healthcare Interoperability Resources: A Proof of Concept. 4(2):389-409. https://doi.org/10.3390/digital4020019.
  • 07 March 2024
    • Bayas, A., Mansmann, U., Ön, B. I., Hoffmann, V. S., Berthele, A., Mühlau, M., Kowarik, M. C., Krumbholz, M., Senel, M., Steuerwald, V., Naumann, M., Hartberger, J., Kerschensteiner, M., Oswald, E., Ruschil, C., Ziemann, U., Tumani, H., Vardakas, I., Albashiti, F., Kramer, F., … ProVal-MS study group (2024). Prospective study validating a multidimensional treatment decision score predicting the 24-month outcome in untreated patients with clinically isolated syndrome and early relapsing-remitting multiple sclerosis, the ProVal-MS study. Neurological research and practice, 6(1), 15. https://doi.org/10.1186/s42466-024-00310-x.
  • 16 February 2024
    • Boeker, M., Zöller, D., Blasini, R., Macho, P., Helfer, S., Behrens, M., Prokosch, H. U., & Gulden, C. (2024). Effectiveness of IT-supported patient recruitment: study protocol for an interrupted time series study at ten German university hospitals. Trials, 25(1), 125. https://doi.org/10.1186/s13063-024-07918-z.
  • 25 January 2024
    • Krefting, D., Mutters, N. T., Pryss, R., Sedlmayr, M., Boeker, M., Dieterich, C., Koll, C., Mueller, M., Slagman, A., Waltemath, D., Wulf, A., & Zenker, S. (2024). Herding Cats in Pandemic Times – Towards Technological and Organizational Convergence of Heterogeneous Solutions for Investigating and Mastering the Pandemic in University Medical Centers. Studies in health technology and informatics, 310, 1271–1275. https://doi.org/10.3233/SHTI231169.
  • 18 January 2024
    • Zöller, D., Haverkamp, C., Makoudjou, A., Sofack, G., Kiefer, S., Gebele, D., Pfaffenlehner, M., Boeker, M., Binder, H., Karki, K., Seidemann, C., Schmeck, B., Greulich, T., Renz, H., Schild, S., Seuchter, S. A., Tibyampansha, D., Buhl, R., Rohde, G., Trudzinski, F. C., … Fähndrich, S. (2024). Alpha-1-antitrypsin-deficiency is associated with lower cardiovascular risk: an approach based on federated learning. Respiratory research, 25(1), 38. https://doi.org/10.1186/s12931-023-02607-y.
  • 22 December 2023
    • Schwab, J. D., Werle, S. D., Hühne, R., Spohn, H., Kaisers, U. X., & Kestler, H. A. (2023). The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices. JMIR medical informatics, 11, e49301. https://doi.org/10.2196/49301.
  • 31 October 2023
  • 13 October 2023
    • Scheible, R., Rusch, S., Maccari, M.E., Seidel, M.G., Ehl, S., Nieters, A., Kindle, G. (2023). Json2Xlsx: Extraction and visualization of nested data in a sparse spreadsheet. Software Impacts, 18, 100588. https://doi.org/10.1016/j.simpa.2023.100588.
  • 12 October 2023
    • Hellwig, D., Hellwig, N. C., Boehner, S., Fuchs, T., Fischer, R., & Schmidt, D. (2023). Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions. Künstliche Intelligenz und Deep Learning für die Weiterentwicklung der PET-Bildrekonstruktion: Stand der Technik und zukünftige Perspektiven. Nuklearmedizin. Nuclear medicine, 62(6), 334–342. https://doi.org/10.1055/a-2198-0358.
  • 23 September 2023
    • Rinaldi, E., Drenkhahn, C., Gebel, B., Saleh, K., Tönnies, H., von Loewenich, F. D., Thoma, N., Baier, C., Boeker, M., Hinske, L. C., Diaz, L. A. P., Behnke, M., Ingenerf, J., & Thun, S. (2023). Author Correction: Towards interoperability in infection control: a standard data model for microbiology. Scientific data, 10(1), 919. https://doi.org/10.1038/s41597-023-02853-1.
  • 21 September 2023
    • Fuchs, T., Kaiser, L., Müller, D., Papp, L., Fischer, R., & Tran-Gia, J. (2023). Enhancing Interoperability and Harmonisation of Nuclear Medicine Image Data and Associated Clinical Data. Verbesserung der Interoperabilität und Harmonisierung von nuklearmedizinischen Bilddaten und zugehörigen klinischen Daten. Nuklearmedizin. Nuclear medicine, 62(6), 389–398. https://doi.org/10.1055/a-2187-5701.
  • 08 September 2023
    • Miederer, I., Rogasch, J. M. M., Fischer, R., Fuchs, T., Lapa, C., Lohmann, P., Shi, K., Tran-Gia, J., Wendler, T., & Hellwig, D. (2023). The Medical Informatics Initiative and the Network University Medicine – Perspectives for Nuclear Medicine. Die Medizininformatik-Initiative und das Netzwerk Universitätsmedizin – Perspektiven für die Nuklearmedizin. Nuklearmedizin. Nuclear medicine, 62(5), 276–283. https://doi.org/10.1055/a-2067-7642.
    • Reeve, K., On, B. I., Havla, J., Burns, J., Gosteli-Peter, M. A., Alabsawi, A., Alayash, Z., Götschi, A., Seibold, H., Mansmann, U., & Held, U. (2023). Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis. The Cochrane database of systematic reviews, 9(9), CD013606. https://doi.org/10.1002/14651858.CD013606.pub2.
  • 07 September 2023
    • Kümpfel, T., Giglhuber, K., Aktas, O., Ayzenberg, I., Bellmann-Strobl, J., Häußler, V., Havla, J., Hellwig, K., Hümmert, M. W., Jarius, S., Kleiter, I., Klotz, L., Krumbholz, M., Paul, F., Ringelstein, M., Ruprecht, K., Senel, M., Stellmann, J. P., Bergh, F. T., Trebst, C., … Neuromyelitis Optica Study Group (NEMOS) (2024). Update on the diagnosis and treatment of neuromyelitis optica spectrum disorders (NMOSD) – revised recommendations of the Neuromyelitis Optica Study Group (NEMOS). Part II: Attack therapy and long-term management. Journal of neurology, 271(1), 141–176. https://doi.org/10.1007/s00415-023-11910-z.
  • 14 August 2023
    • Scheible, R., Thomczyk, F., Blum, M., Rautenberg, M., Prunotto, A., Yazijy, S., & Boeker, M. (2023). Integrating row level security in i2b2: segregation of medical records into data marts without data replication and synchronization. JAMIA open, 6(3), ooad068. https://doi.org/10.1093/jamiaopen/ooad068.
  • 29 June 2023
    • Scheible, R., Alkier, D., Wendroth, J., Mayer, J., & Boeker, M. (2023). FHIR DataProvider for ReactAdmin: Leveraging User Interface Creation for Medical Web Applications. Studies in health technology and informatics, 305, 110–114. https://doi.org/10.3233/SHTI230436.
  • 09 June 2023
    • Ahmed, A., Garcia-Agundez, A., Petrovic, I., Radaei, F., Fife, J., Zhou, J., Karas, H., Moody, S., Drake, J., Jones, R. N., Eickhoff, C., & Reznik, M. E. (2023). Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage. Frontiers in neurology, 14, 1135472. https://doi.org/10.3389/fneur.2023.1135472.
  • May 2023
    • Meineke, F., Modersohn, L., Loeffler, M., & Boeker, M. (2023). Announcement of the German Medical Text Corpus Project (GeMTeX). Studies in health technology and informatics, 302, 835–836. https://doi.org/10.3233/SHTI230283.
  • 09 May 2023
    • Schworm, B., Siedlecki, J., Catarino, C., von Livonius, B., Muth, D. R., Rudolph, G., Havla, J., Klopstock, T., & Priglinger, C. (2023). Age-dependent retinal neuroaxonal degeneration in children and adolescents with Leber hereditary optic neuropathy under idebenone therapy. European journal of neurology, 30(8), 2525–2533. https://doi.org/10.1111/ene.15847.
  • 04 May 2023
    • Lichtner, G., Spies, C., Jurth, C., Bienert, T., Mueller, A., Kumpf, O., Piechotta, V., Skoetz, N., Nothacker, M., Boeker, M., Meerpohl, J. J., & von Dincklage, F. (2023). Automated Monitoring of Adherence to Evidenced-Based Clinical Guideline Recommendations: Design and Implementation Study. Journal of medical Internet research, 25, e41177. https://doi.org/10.2196/41177.
  • 20 April 2023
    • Stellmach, C., Sass, J., Auber, B., Boeker, M., Wienker, T., Heidel, A. J., Benary, M., Schumacher, S., Ossowski, S., Klauschen, F., Möller, Y., Schmutzler, R., Ustjanzew, A., Werner, P., Tomczak, A., Hölter, T., & Thun, S. (2023). Creation of a structured molecular genomics report for Germany as a local adaption of HL7’s Genomic Reporting Implementation Guide. Journal of the American Medical Informatics Association : JAMIA, 30(6), 1179–1189. https://doi.org/10.1093/jamia/ocad061.
  • 06 April 2023
    • Jarius, S., Aktas, O., Ayzenberg, I., Bellmann-Strobl, J., Berthele, A., Giglhuber, K., Häußler, V., Havla, J., Hellwig, K., Hümmert, M. W., Kleiter, I., Klotz, L., Krumbholz, M., Kümpfel, T., Paul, F., Ringelstein, M., Ruprecht, K., Senel, M., Stellmann, J. P., Bergh, F. T., … Neuromyelitis Optica Study Group (NEMOS) (2023). Update on the diagnosis and treatment of neuromyelits optica spectrum disorders (NMOSD) – revised recommendations of the Neuromyelitis Optica Study Group (NEMOS). Part I: Diagnosis and differential diagnosis. Journal of neurology, 270(7), 3341–3368. https://doi.org/10.1007/s00415-023-11634-0.
  • March 2023
    • Lichtner, G., Alper, B. S., Jurth, C., Spies, C., Boeker, M., Meerpohl, J. J., & von Dincklage, F. (2023). Representation of evidence-based clinical practice guideline recommendations on FHIR. Journal of biomedical informatics, 139, 104305. https://doi.org/10.1016/j.jbi.2023.104305.
  • 24 March 2023
    • Hapfelmeier, A., On, B. I., Mühlau, M., Kirschke, J. S., Berthele, A., Gasperi, C., Mansmann, U., Wuschek, A., Bussas, M., Boeker, M., Bayas, A., Senel, M., Havla, J., Kowarik, M. C., Kuhn, K., Gatz, I., Spengler, H., Wiestler, B., Grundl, L., Sepp, D., … Hemmer, B. (2023). Retrospective cohort study to devise a treatment decision score predicting adverse 24-month radiological activity in early multiple sclerosis. Therapeutic advances in neurological disorders, 16, 17562864231161892. https://doi.org/10.1177/17562864231161892.
  • 20 March 2023
    • Batcha, A. M. N., Buckup, N., Bamopoulos, S. A., Jurinovic, V., Rothenberg-Thurley, M., Gittinger, H., Ksienzyk, B., Dufour, A., Schneider, S., Kontro, M., Saad, J., Heckmann, C. A., Sauerland, C., Görlich, D., Berdel, W. E., Wörmann, B. J., Krug, U., Braess, J., Mansmann, U., Hiddemann, W., … Herold, T. (2023). Germline SNPs previously implicated as prognostic biomarkers do not associate with outcomes in intensively treated AML. Blood advances, 7(6), 1040–1044. https://doi.org/10.1182/bloodadvances.2022007988.
  • 21 February 2023
    • Schalk, D., Hoffmann, V.S., Bischl, B. & Mansmann, U. (2023). dsBinVal: Conducting distributed ROC analysis using DataSHIELD. Journal of Open Source Software, 8(82), 4545, https://doi.org/10.21105/joss.04545.
  • 09 February 2023
    • Thiam, P., Lausser, L., Kloth, C., Blaich, D., Liebold, A., Beer, M., & Kestler, H. A. (2023). Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. Frontiers in artificial intelligence, 6, 1056422. https://doi.org/10.3389/frai.2023.1056422.
  • 01 February 2023
    • Mercurio, L., Pou, S., Duffy, S., & Eickhoff, C. (2023). Risk Factors for Pediatric Sepsis in the Emergency Department: A Machine Learning Pilot Study. Pediatric emergency care, 39(2), e48–e56. https://doi.org/10.1097/PEC.0000000000002893.
  • 04 January 2023
    • Schönecker, S., Hoffmann, V., Albashiti, F., Thasler, R., Hagedorn, M., Louiset, M. L., Kopczak, A., Rösler, J., Baki, E., Wunderlich, S., Kohlmayer, F., Kuhn, K., Boeker, M., Tünnerhoff, J., Poli, S., Ziemann, U., Kohlbacher, O., Althaus, K., Müller, S., Ludolph, A., … Kellert, L. (2023). PREDICT-juvenile-stroke: PRospective evaluation of a prediction score determining individual clinical outcome three months after ischemic stroke in young adults – a study protocol. BMC neurology, 23(1), 2. https://doi.org/10.1186/s12883-022-03003-7.
  • 01 December 2022
    • Kenney, R., Liu, M., Hasanaj, L., Joseph, B., Al-Hassan, A. A., Balk, L., Behbehani, R., Brandt, A. U., Calabresi, P. A., Frohman, E. M., Frohman, T., Havla, J., Hemmer, B., Jiang, H., Knier, B., Korn, T., Leocani, L., Martínez-Lapiscina, E. H., Papadopoulou, A., Paul, F., … IMSVISUAL Consortium (2022). Normative Data and Conversion Equation for Spectral-Domain Optical Coherence Tomography in an International Healthy Control Cohort. Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society, 42(4), 442–453. https://doi.org/10.1097/WNO.0000000000001717.
  • 28 October 2022
    • Häger, L., Wendland, P., Biergans, S., Lederer, S., de Arruda Botelho Herr, M., Erhardt, C., Schmauder, K., Kschischo, M., Malek, N. P., Bunk, S., Bitzer, M., Gladstone, B. P., & Göpel, S. (2022). External Validation of COVID-19 Risk Scores during Three Waves of Pandemic in a German Cohort-A Retrospective Study. Journal of personalized medicine, 12(11), 1775. https://doi.org/10.3390/jpm12111775.
  • 16 October 2022
    • Gernert, J. A., Wicklein, R., Hemmer, B., Kümpfel, T., Knier, B., & Havla, J. (2022). Peripapillary hyper-reflective ovoid mass-like structures (PHOMS) in AQP4-IgG-positive neuromyelitis optica spectrum disease (NMOSD) and MOG-IgG-associated disease (MOGAD). Journal of neurology, 270(2), 1135–1140. https://doi.org/10.1007/s00415-022-11381-8.
  • 29 September 2022
    • Lotz-Havla, A. S., Katzdobler, S., Nuscher, B., Weiß, K., Levin, J., Havla, J., & Maier, E. M. (2022). Serum glial fibrillary acidic protein and neurofilament light chain in patients with early treated phenylketonuria. Frontiers in neurology, 13, 1011470. https://doi.org/10.3389/fneur.2022.1011470.
  • 13 September 2022
    • Kenney, R. C., Liu, M., Hasanaj, L., Joseph, B., Abu Al-Hassan, A., Balk, L. J., Behbehani, R., Brandt, A., Calabresi, P. A., Frohman, E., Frohman, T. C., Havla, J., Hemmer, B., Jiang, H., Knier, B., Korn, T., Leocani, L., Martinez-Lapiscina, E. H., Papadopoulou, A., Paul, F., … Balcer, L. J. (2022). The Role of Optical Coherence Tomography Criteria and Machine Learning in Multiple Sclerosis and Optic Neuritis Diagnosis. Neurology, 99(11), e1100–e1112. https://doi.org/10.1212/WNL.0000000000200883.
  • 10 September 2022
    • Gernert, J. A., Zimmermann, H., Oswald, E., Christmann, T., Kümpfel, T., & Havla, J. (2022). Clinical onset of CNS demyelinating disease after COVID-19 vaccination: denovo disease?. Multiple sclerosis and related disorders, 67, 104175. https://doi.org/10.1016/j.msard.2022.104175.
  • 09 September 2022
    • Alcazer, V., Bonaventura, P., Tonon, L., Michel, E., Mutez, V., Fabres, C., Chuvin, N., Boulos, R., Estornes, Y., Maguer-Satta, V., Geistlich, K., Viari, A., Metzeler, K. H., Hiddemann, W., Batch, A. M. N., Herold, T., Caux, C., & Depil, S. (2022). HERVs characterize normal and leukemia stem cells and represent a source of shared epitopes for cancer immunotherapy. American journal of hematology, 97(9), 1200–1214. https://doi.org/10.1002/ajh.26647.
  • 17 August 2022
    • Modersohn, L., Schulz, S., Lohr, C., & Hahn, U. (2022). GRASCCO – The First Publicly Shareable, Multiply-Alienated German Clinical Text Corpus. Studies in health technology and informatics, 296, 66–72. https://doi.org/10.3233/SHTI220805.
  • 29 July 2022
    • Riederer, I., Mühlau, M., Wiestler, B., Bender, B., Hempel, J. M., Kowarik, M., Huber, T., Zimmer, C., Andrisan, T., Patzig, M., Zimmermann, H., Havla, J., Berlis, A., Behrens, L., Beer, M., Dietrich, J., Sollmann, N., & Kirschke, J. S. (2022). Structured Reporting in Multiple Sclerosis – Consensus-Based Reporting Templates for Magnetic Resonance Imaging of the Brain and Spinal Cord. Strukturierte Befundung bei Multipler Sklerose – Konsensbasierte Befundvorlagen für die magnetresonanztomografische Untersuchung des Gehirns und des Rückenmarks. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin, 195(2), 135–138. https://doi.org/10.1055/a-1867-3942.
  • 28 July 2022
    • AlZahmi, A., Cenzer, I., Mansmann, U., Ostermann, H., Theurich, S., Schleinkofer, T., & Berger, K. (2022). Usability of German hospital administrative claims data for healthcare research: General assessment and use case of multiple myeloma in Munich university hospital in 2015-2017. PloS one, 17(7), e0271754. https://doi.org/10.1371/journal.pone.0271754.
  • 23 July 2022
    • Pakeerathan, T., Havla, J., Schwake, C., Salmen, A., Bigi, S., Abegg, M., Brügger, D., Ferrazzini, T., Runge, A. K., Breu, M., Kornek, B., Bsteh, G., Felipe-Rucián, A., Ringelstein, M., Aktas, O., Karenfort, M., Wendel, E., Kleiter, I., Hellwig, K., Kümpfel, T., … Ayzenberg, I. (2022). Characteristic retinal atrophy pattern allows differentiation between pediatric MOGAD and MS after a single optic neuritis episode. Journal of neurology, 269(12), 6366–6376. https://doi.org/10.1007/s00415-022-11256-y.
  • 23 June 2022
    • Hoffmann, N., Mayer, G., Has, C., Kopczynski, D., Al Machot, F., Schwudke, D., Ahrends, R., Marcus, K., Eisenacher, M., & Turewicz, M. (2022). A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics. Metabolites, 12(7), 584. https://doi.org/10.3390/metabo12070584.
  • 22 June 2022
    • Strecker, P., Boeker, M., Buechner, S., & Scheible, R. (2022). Usability Evaluation of a Modern Multilingual MeSH Browser. Studies in health technology and informatics, 295, 37–40. https://doi.org/10.3233/SHTI220653.
  • 15 June 2022
    • Oertel, F. C., Sotirchos, E. S., Zimmermann, H. G., Motamedi, S., Specovius, S., Asseyer, E. S., Chien, C., Cook, L., Vasileiou, E., Filippatou, A., Calabresi, P. A., Saidha, S., Pandit, L., D’Cunha, A., Outteryck, O., Zéphir, H., Pittock, S., Flanagan, E. P., Bhatti, M. T., Rommer, P. S., … with the GJCF International Clinical Consortium for NMOSD and the CROCTINO study group (2022). Longitudinal Retinal Changes in MOGAD. Annals of neurology, 92(3), 476–485. https://doi.org/10.1002/ana.26440.
  • 06 June 2022
    • Scheible, R., Caliskan, D., Fischer, P., Thomczyk, F., Zabka, S., Schneider, H., Boeker, M., Schulz, S., Prokosch, H. U., & Gulden, C. (2022). AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources – A Technical Case Report. Studies in health technology and informatics, 290, 32–36. https://doi.org/10.3233/SHTI220026.
  • 19 April 2022
    • Havla, J., & Hohlfeld, R. (2022). Antibody Therapies for Progressive Multiple Sclerosis and for Promoting Repair. Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 19(3), 774–784. https://doi.org/10.1007/s13311-022-01214-x.
  • 13 April 2022
    • Hamberger, M., Ikonomi, N., Schwab, J. D., Werle, S. D., Fürstberger, A., Kestler, A. M., Holderried, M., Kaisers, U. X., Steger, F., & Kestler, H. A. (2022). Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives. JMIR mHealth and uHealth, 10(4), e32696. https://doi.org/10.2196/32696.
  • 12 April 2022
  • 21 March 2022
    • Schalk, D., Hoffmann, V.S., Bischl, B. & Mansmann, U. (2022). Distributed non-disclosive validation of predictive models by a modified ROC-GLM. arXiv preprint. 2022;arXiv:2203.10828. https://doi.org/10.48550/ARXIV.2203.10828.
  • February 2022
    • Lu, A., Zimmermann, H. G., Specovius, S., Motamedi, S., Chien, C., Bereuter, C., Lana-Peixoto, M. A., Fontenelle, M. A., Ashtari, F., Kafieh, R., Dehghani, A., Pourazizi, M., Pandit, L., D’Cunha, A., Kim, H. J., Hyun, J. W., Jung, S. K., Leocani, L., Pisa, M., Radaelli, M., … GJCF International Clinical Consortium for NMOSD (2022). Astrocytic outer retinal layer thinning is not a feature in AQP4-IgG seropositive neuromyelitis optica spectrum disorders. Journal of neurology, neurosurgery, and psychiatry, 93(2), 188–195. https://doi.org/10.1136/jnnp-2021-327412.
  • 15 February 2022
    • Manz, K.M., Batcha, A.M.N. & Mansmann, U. (2022). Regionale und zeitliche Trends der SARS-CoV-2 assoziierten Sterblichkeit in Bayern: Eine altersstratifizierte Analyse über 5 Quartale für Personen ab 50 Jahren [Regional and Temporal Trends in SARS-CoV-2-Associated Mortality in Bavaria: An Age-Stratified Analysis Over 5 Quarters for Persons Aged 50 and Older]. Gesundheitswesen 2022. 84(2):e2-e10. German. https://doi.org/10.1055/a-1714-8184.
  • January 2022
    • Havla, J., Schultz, Y., Zimmermann, H., Hohlfeld, R., Danek, A., & Kümpfel, T. (2022). First manifestation of multiple sclerosis after immunization with the Pfizer-BioNTech COVID-19 vaccine. Journal of neurology, 269(1), 55–58. https://doi.org/10.1007/s00415-021-10648-w.
  • 07 January 2022
    • Medenwald, D., Brunner, T., Christiansen, H., Kisser, U., Mansoorian, S., Vordermark, D., Prokosch, H. U., Seuchter, S. A., Kapsner, L. A., & our MII research group (2022). Shift of radiotherapy use during the first wave of the COVID-19 pandemic? An analysis of German inpatient data. Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft … [et al], 198(4), 334–345. https://doi.org/10.1007/s00066-021-01883-1.
  • 2021
    • Mortazavi, M., Hizarci, Ö., Gerdes, L. A., Havla, J., Kümpfel, T., Hohlfeld, R., Stöcklein, S., Keeser, D., & Ertl-Wagner, B. (2021). Multiple sclerosis and subclinical neuropathology in healthy individuals with familial risk: A scoping review of MRI studies. NeuroImage. Clinical, 31, 102734. https://doi.org/10.1016/j.nicl.2021.102734.
    • Müller, D., Soto-Rey, I., & Kramer, F. (2021). Robust chest CT image segmentation of COVID-19 lung infection based on limited data. Informatics in medicine unlocked, 25, 100681. https://doi.org/10.1016/j.imu.2021.100681.
  • 10 December 2021
    • Lotz-Havla, A. S., Weiß, K., Schiergens, K., Regenauer-Vandewiele, S., Parhofer, K. G., Christmann, T., Böhm, L., Havla, J., & Maier, E. M. (2021). Optical Coherence Tomography to Assess Neurodegeneration in Phenylalanine Hydroxylase Deficiency. Frontiers in neurology, 12, 780624. https://doi.org/10.3389/fneur.2021.780624.
  • 22 November 2021
    • Moser, C., Jurinovic, V., Sagebiel-Kohler, S., Ksienzyk, B., Batcha, A. M. N., Dufour, A., Schneider, S., Rothenberg-Thurley, M., Sauerland, C. M., Görlich, D., Berdel, W. E., Krug, U., Mansmann, U., Hiddemann, W., Braess, J., Spiekermann, K., Greif, P. A., Vosberg, S., Metzeler, K. H., Kumbrink, J., … Herold, T. (2021). A clinically applicable gene expression-based score predicts resistance to induction treatment in acute myeloid leukemia. Blood advances, 5(22), 4752–4761. https://doi.org/10.1182/bloodadvances.2021004814.
  • 19 October 2021
  • 09 October 2021
    • Graf, J., Leussink, V. I., Soncin, G., Lepka, K., Meinl, I., Kümpfel, T., Meuth, S. G., Hartung, H. P., Havla, J., Aktas, O., & Albrecht, P. (2021). Relapse-independent multiple sclerosis progression under natalizumab. Brain communications, 3(4), fcab229. https://doi.org/10.1093/braincomms/fcab229.
  • 05 October 2021
    • Eisenhut, K., Buchka, S., Eichhorn, P., Meier, H., Albashiti, F., Mansmann, U., Schlüter, M., Havla, J., & Kümpfel, T. (2021). SARS-CoV-2 antibody seroprevalence in a large neuroimmunological patient cohort. Journal of neurology, 269(3), 1133–1137. https://doi.org/10.1007/s00415-021-10818-w.
  • September 2021
    • Stangel, M., Becker, V., Elias-Hamp, B., Havla, J., Grothe, C., Pul, R., Rau, D., Richter, S., & Schmidt, S. (2021). Oral pulsed therapy of relapsing multiple sclerosis with cladribine tablets – expert opinion on issues in clinical practice. Multiple sclerosis and related disorders, 54, 103075. https://doi.org/10.1016/j.msard.2021.103075.
  • 24 September 2021
    • Buchka, S., de Arruda Botelho Herr, M., Röhmhild, J., Rehm, S., Mansmann, U., Zhang, G., Albashiti, F., Biergans, S., Hoffmann, V.S. (2021). DIFUTURE strategy to deploy DataSHIELD at German university hospitals. 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF). sine loco [digital], 26.-30.09.2021. Düsseldorf: German Medical Science GMS Publishing House. https://doi.org/10.3205/21GMDS124.
    • Mahmoud, A., Mansmann, U., Reinhard, I., Nasseh, D., Albashiti, F., Hoffmann, V.S. (2021). Privacy-preserving duplicate detection of patient data at different sites as a prerequisite for distributed statistical analysis – implementation in the DIFUTURE consortium. 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF). sine loco [digital], 26.-30.09.2021. Düsseldorf: German Medical Science GMS Publishing House. https://doi.org/10.3205/21GMDS069.
    • Schalk, D., Mansmann, U., Hoffmann, V.S. (2021). Non-Disclosive ROC Analysis and Calibration Using DataSHIELD. 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF). sine loco [digital], 26.-30.09.2021. Düsseldorf: German Medical Science GMS Publishing House. https://doi.org/10.3205/21GMDS071.
  • 21 September 2021
    • Leb, I., Magnin, S., Prokosch, H. U., & Boeker, M. (2021). Patient Portals: Objectives, Acceptance, and Effects on Health Outcome – A Scoping Review of Reviews. Studies in health technology and informatics, 283, 194–201. https://doi.org/10.3233/SHTI210560.
    • Müller, D., Soto-Rey, I., Kramer, F. (2021). Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models. Stud Health Technol Inform. 283:23-31. https://doi.org/10.3233/SHTI210537
  • 17 August 2021
    • Magunia, H., Lederer, S., Verbuecheln, R., Gilot, B. J., Koeppen, M., Haeberle, H. A., Mirakaj, V., Hofmann, P., Marx, G., Bickenbach, J., Nohe, B., Lay, M., Spies, C., Edel, A., Schiefenhövel, F., Rahmel, T., Putensen, C., Sellmann, T., Koch, T., Brandenburger, T., … Rosenberger, P. (2021). Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort. Critical care (London, England), 25(1), 295. https://doi.org/10.1186/s13054-021-03720-4.
  • 09 August 2021
    • Wicklein, R., Wauschkuhn, J., Giglhuber, K., Kümpfel, T., Hemmer, B., Havla, J., & Knier, B. (2021). Association of peripapillary hyper-reflective ovoid masslike structures and disease duration in primary progressive multiple sclerosis. European journal of neurology, 28(12), 10.1111/ene.15056. https://doi.org/10.1111/ene.15056.
  • 13 July 2021
    • Aytulun, A., Cruz-Herranz, A., Aktas, O., Balcer, L. J., Balk, L., Barboni, P., Blanco, A. A., Calabresi, P. A., Costello, F., Sanchez-Dalmau, B., DeBuc, D. C., Feltgen, N., Finger, R. P., Frederiksen, J. L., Frohman, E., Frohman, T., Garway-Heath, D., Gabilondo, I., Graves, J. S., Green, A. J., … Albrecht, P. (2021). APOSTEL 2.0 Recommendations for Reporting Quantitative Optical Coherence Tomography Studies. Neurology, 97(2), 68–79. https://doi.org/10.1212/WNL.0000000000012125.
  • June 2021
  • 07 June 2021
    • Völkel, G., Fürstberger, A., Schwab, J. D., Werle, S. D., Ikonomi, N., Gscheidmeier, T., Kraus, J. M., Groß, A., Holderried, M., Balig, J., Jobst, F., Kuhn, P., Kuhn, K. A., Kohlbacher, O., Kaisers, U. X., Seufferlein, T., & Kestler, H. A. (2021). Patient Empowerment During the COVID-19 Pandemic by Ensuring Safe and Fast Communication of Test Results: Implementation and Performance of a Tracking System. Journal of medical Internet research, 23(6), e27348. https://doi.org/10.2196/27348.
    • Schwab, J.D., Schobel, J., Werle, S.D., Fürstberger, A., Ikonomi, N., Szekely, R., Thiam, P., Hühne, R., Jahn, N., Schuler, R., Kuhn, P., Holderried, M., Steger, F., Reichert, M., Kaisers, U.X., Kestler, A.M.R., Seufferlein, T. & Kestler, H.A. (2021). Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment. IEEE Access 9: 83863-83875, 2021. https://doi.org/10.1109/ACCESS.2021.3087315.
  • 04 June 2021
    • Kestler, A. M. R., Kühlwein, S. D., Kraus, J. M., Schwab, J. D., Szekely, R., Thiam, P., Hühne, R., Jahn, N., Fürstberger, A., Ikonomi, N., Balig, J., Schuler, R., Kuhn, P., Steger, F., Seufferlein, T., & Kestler, H. A. (2021). Digitalization of adverse event management in oncology to improve treatment outcome-A prospective study protocol. PloS one, 16(6), e0252493. https://doi.org/10.1371/journal.pone.0252493.
  • May 2021
    • Asseyer, S., Henke, E., Trebst, C., Hümmert, M. W., Wildemann, B., Jarius, S., Ringelstein, M., Aktas, O., Pawlitzki, M., Korsen, M., Klotz, L., Siebert, N., Ruprecht, K., Bellmann-Strobl, J., Wernecke, K. D., Häußler, V., Havla, J., Gahlen, A., Gold, R., Paul, F., … Neuromyelitis Optica Study Group (2021). Pain, depression, and quality of life in adults with MOG-antibody-associated disease. European journal of neurology, 28(5), 1645–1658. https://doi.org/10.1111/ene.14729.
  • 29 May 2021
    • Kim, J., Neumann, L., Paul, P., Day, M. E., Aratow, M., Bell, D. S., Doctor, J. N., Hinske, L. C., Jiang, X., Kim, K. K., Matheny, M. E., Meeker, D., Pletcher, M. J., Schilling, L. M., SooHoo, S., Xu, H., Zheng, K., Ohno-Machado, L., & R2D2 Consortium (2021). Privacy-protecting, reliable response data discovery using COVID-19 patient observations. Journal of the American Medical Informatics Association : JAMIA, 28(8), 1765–1776. https://doi.org/10.1093/jamia/ocab054.
    • Havla, J., Pakeerathan, T., Schwake, C., Bennett, J. L., Kleiter, I., Felipe-Rucián, A., Joachim, S. C., Lotz-Havla, A. S., Kümpfel, T., Krumbholz, M., Wendel, E. M., Reindl, M., Thiels, C., Lücke, T., Hellwig, K., Gold, R., Rostasy, K., & Ayzenberg, I. (2021). Age-dependent favorable visual recovery despite significant retinal atrophy in pediatric MOGAD: how much retina do you really need to see well?. Journal of neuroinflammation, 18(1), 121. https://doi.org/10.1186/s12974-021-02160-9.
  • 11 May 2021
    • Schobel, J., Volz, M., Hörner, K., Kuhn, P., Jobst, F., Schwab, J. D., Ikonomi, N., Werle, S. D., Fürstberger, A., Hoenig, K., & Kestler, H. A. (2021). Supporting Medical Staff from Psycho-Oncology with Smart Mobile Devices: Insights into the Development Process and First Results. International journal of environmental research and public health, 18(10), 5092. https://doi.org/10.3390/ijerph18105092.
  • 07 May 2021
    • Geisler, B. P., Zahabi, L., Lang, A. E., Eastwood, N., Tennant, E., Lukic, L., Sharon, E., Chuang, H. H., Kang, C. B., Clayton-Johnson, K., Aljaberi, A., Yu, H., Bui, C., Le Mau, T., Li, W. C., Teodorescu, D., Hinske, L. C., Sun, D. L., Manian, F. A., & Dunn, A. G. (2021). Repurposing existing medications for coronavirus disease 2019: protocol for a rapid and living systematic review. Systematic reviews, 10(1), 143. https://doi.org/10.1186/s13643-021-01693-7.
  • 20. April 2021:
    • Ayzenberg, I., Richter, D., Henke, E., Asseyer, S., Paul, F., Trebst, C., Hümmert, M. W., Havla, J., Kümpfel, T., Ringelstein, M., Aktas, O., Wildemann, B., Jarius, S., Häußler, V., Stellmann, J. P., Senel, M., Klotz, L., Pellkofer, H. L., Weber, M. S., Pawlitzki, M., … NEMOS (Neuromyelitis Optica Study Group) (2021). Pain, Depression, and Quality of Life in Neuromyelitis Optica Spectrum Disorder: A Cross-Sectional Study of 166 AQP4 Antibody-Seropositive Patients. Neurology(R) neuroimmunology & neuroinflammation, 8(3), e985. https://doi.org/10.1212/NXI.0000000000000985.
  • 14 – 17 March 2021
  • 16 February 2021
    • Mayer, G., Müller, W., Schork, K., Uszkoreit, J., Weidemann, A., Wittig, U., Rey, M., Quast, C., Felden, J., Glöckner, F.O., Lange, M., Arend, D., Beier, S., Junker, A., Scholz, U., Schüler, D., Kestler, H.A., Wibberg, D., Pühler, A., Twardziok, S., Eils, J., Eils, R., Hoffmann, S., Eisenacher, M. & Turewicz, M. (2021). Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases. Briefings in Bioinformatics, Volume 22, Issue 5, September 2021, bbab010, https://doi.org/10.1093/bib/bbab010.
  • 29 January 2021
    • Akgün, M., Ünal, A. B., Ergüner, B., Pfeifer, N., & Kohlbacher, O. (2021). Identifying disease-causing mutations with privacy protection. Bioinformatics (Oxford, England), 36(21), 5205–5213. https://doi.org/10.1093/bioinformatics/btaa641.
  • 18 January 2021
  • 13 January 2021
    • Kapsner, L. A., Kampf, M. O., Seuchter, S. A., Gruendner, J., Gulden, C., Mate, S., Mang, J. M., Schüttler, C., Deppenwiese, N., Krause, L., Zöller, D., Balig, J., Fuchs, T., Fischer, P., Haverkamp, C., Holderried, M., Mayer, G., Stenzhorn, H., Stolnicu, A., Storck, M., … Prokosch, H. U. (2021). Reduced Rate of Inpatient Hospital Admissions in 18 German University Hospitals During the COVID-19 Lockdown. Frontiers in public health, 8, 594117. https://doi.org/10.3389/fpubh.2020.594117.
  • 12 January 2021
    • Gulden, C., Blasini, R., Nassirian, A., Stein, A., Altun, F. B., Kirchner, M., Prokosch, H. U., & Boeker, M. (2021). Prototypical Clinical Trial Registry Based on Fast Healthcare Interoperability Resources (FHIR): Design and Implementation Study. JMIR medical informatics, 9(1), e20470. https://doi.org/10.2196/20470.
  • 11 January 2021
    • Guzman-Parra, J., Streit, F., Forstner, A. J., Strohmaier, J., González, M. J., Gil Flores, S., Cabaleiro Fabeiro, F. J., Del Río Noriega, F., Perez Perez, F., Haro González, J., Orozco Diaz, G., de Diego-Otero, Y., Moreno-Kustner, B., Auburger, G., Degenhardt, F., Heilmann-Heimbach, S., Herms, S., Hoffmann, P., Frank, J., Foo, J. C., … Rietschel, M. (2021). Clinical and genetic differences between bipolar disorder type 1 and 2 in multiplex families. Translational psychiatry, 11(1), 31. https://doi.org/10.1038/s41398-020-01146-0.
  • 2020
    • Beyan, O.,  Choudhury, A., van Soest, J., Kohlbacher, O., Zimmermann, L., Stenzhorn, H., Karim, Md. R., Dumontier, M., Decker, S., Bonino da Silva Santos, L.O. & Dekker, A. (2020). Distributed analytics on sensitive medical data: The Personal Health Train.
      Data Intelligence 2, 96–107. doi: 10.1162/dint_a_00032.
  • November 2020
    • Aly, L., Havla, J., Lepennetier, G., Andlauer, T. F. M., Sie, C., Strauß, E. M., Hoshi, M. M., Kümpfel, T., Hiltensperger, M., Mitsdoerffer, M., Mühlau, M., Zimmer, C., Hemmer, B., Korn, T., & Knier, B. (2020). Inner retinal layer thinning in radiologically isolated syndrome predicts conversion to multiple sclerosis. European journal of neurology, 27(11), 2217–2224. https://doi.org/10.1111/ene.14416.
  • 20 November 2020
    • Liu, J., Mori, M., Zimmermann, H., Brandt, A., Havla, J., Tanaka, S., Sugimoto, K., Oji, S., Uzawa, A., Asseyer, S., Cooper, G., Jarius, S., Bellmann-Strobl, J., Ruprecht, K., Siebert, N., Masuda, H., Uchida, T., Ohtani, R., Nomura, K., Meinl, E., … Kuwabara, S. (2020). Anti-MOG antibody-associated disorders: differences in clinical profiles and prognosis in Japan and Germany. Journal of neurology, neurosurgery, and psychiatry, jnnp-2020-324422. Advance online publication. https://doi.org/10.1136/jnnp-2020-324422.
  • September 2020
    • Kleiter, I., Ayzenberg, I., Havla, J., Lukas, C., Penner, I. K., Stadelmann, C., & Linker, R. A. (2020). The transitional phase of multiple sclerosis: Characterization and conceptual framework. Multiple sclerosis and related disorders, 44, 102242. https://doi.org/10.1016/j.msard.2020.102242.
  • 01 September 2020
    • Spengler, H., Gatz, I., Kohlmayer, F., Kuhn, K.A. & Prasser, F. (2020). Improving Data Quality in Medical Research: A Monitoring Architecture for Clinical and Translational Data Warehouses. IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). Rochester, MN, USA. 2020 Jul 28; pp. 415-420. DOI: 10.1109/CBMS49503.2020.00085.
  • 20 August 2020
    • Kreer, C., Zehner, M., Weber, T., Ercanoglu, M. S., Gieselmann, L., Rohde, C., Halwe, S., Korenkov, M., Schommers, P., Vanshylla, K., Di Cristanziano, V., Janicki, H., Brinker, R., Ashurov, A., Krähling, V., Kupke, A., Cohen-Dvashi, H., Koch, M., Eckert, J. M., Lederer, S., … Klein, F. (2020). Longitudinal Isolation of Potent Near-Germline SARS-CoV-2-Neutralizing Antibodies from COVID-19 Patients. Cell, 182(4), 843–854.e12. https://doi.org/10.1016/j.cell.2020.06.044.
  • 15 July 2020
    • Anande, G., Deshpande, N. P., Mareschal, S., Batcha, A. M. N., Hampton, H. R., Herold, T., Lehmann, S., Wilkins, M. R., Wong, J. W. H., Unnikrishnan, A., & Pimanda, J. E. (2020). RNA Splicing Alterations Induce a Cellular Stress Response Associated with Poor Prognosis in Acute Myeloid Leukemia. Clinical cancer research : an official journal of the American Association for Cancer Research, 26(14), 3597–3607. https://doi.org/10.1158/1078-0432.CCR-20-0184.
  • 8 July 2020
    • Gleim, L. C., Karim, M. R., Zimmermann, L., Kohlbacher, O., Stenzhorn, H., Decker, S., & Beyan, O. (2020). Enabling ad-hoc reuse of private data repositories through schema extraction. Journal of biomedical semantics, 11(1), 6. https://doi.org/10.1186/s13326-020-00223-z.
  • 20 June 2020
    • Mulazzani, E., Wagner, D., Havla, J., Schlüter, M., Meinl, I., Gerdes, L.A. & Kümpfel, T. (2020). Neurological phenotypes in patients with NLRP3-, MEFV-, and TNFRSF1A low-penetrance variants. J Neuroinflammation 17, 196 (2020). https://doi.org/10.1186/s12974-020-01867-5.
  • 16 June 2020
    • Lindoerfer, D., Mansmann, U., & Reinhardt, I. (2020). Incorporation of Multiple Sources into IT – and Data Protection Concepts: Lessons Learned from the FARKOR Project. Studies in health technology and informatics, 270, 262–266. https://doi.org/10.3233/SHTI200163.
  • 05 June 2020
    • Bild, R., Bialke, M., Buckow, K., Ganslandt, T., Ihrig, K., Jahns, R., Merzweiler, A., Roschka, S., Schreiweis, B., Stäubert, S., Zenker, S. & Prasser, F. (2020). Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative. BMC Medical Informatics and Decision Making, 20(1):1-9. https://doi.org/10.1186/s12911-020-01138-6.
  • 01 May 2020
    • Bamopoulos, S. A., Batcha, A. M. N., Jurinovic, V., Rothenberg-Thurley, M., Janke, H., Ksienzyk, B., Philippou-Massier, J., Graf, A., Krebs, S., Blum, H., Schneider, S., Konstandin, N., Sauerland, M. C., Görlich, D., Berdel, W. E., Woermann, B. J., Bohlander, S. K., Canzar, S., Mansmann, U., Hiddemann, W., … Herold, T. (2020). Clinical presentation and differential splicing of SRSF2, U2AF1 and SF3B1 mutations in patients with acute myeloid leukemia. Leukemia, 34(10), 2621–2634. https://doi.org/10.1038/s41375-020-0839-4.
  • 19 May 2020
    • Abdelhak, A., Huss, A., Stahmann, A., Senel, M., Krumbholz, M., Kowarik, M. C., Havla, J., Kümpfel, T., Kleiter, I., Wüstinger, I., Zettl, U. K., Schwartz, M., Roesler, R., Friede, T., Ludolph, A. C., Ziemann, U., & Tumani, H. (2020). Explorative study of emerging blood biomarkers in progressive multiple sclerosis (EmBioProMS): Design of a prospective observational multicentre pilot study. Contemporary clinical trials communications, 18, 100574. https://doi.org/10.1016/j.conctc.2020.100574.
  • 07 May 2020
    • On Seker, B. I., Reeve, K., Havla, J., Burns, J., Gosteli, M. A., Lutterotti, A., Schippling, S., Mansmann, U., & Held, U. (2020). Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis. The Cochrane Database of Systematic Reviews, 2020(5), CD013606. https://doi.org/10.1002/14651858.CD013606.
  • April 2020
    • Vaikari, V. P., Du, Y., Wu, S., Zhang, T., Metzeler, K., Batcha, A. M. N., Herold, T., Hiddemann, W., Akhtari, M., & Alachkar, H. (2020). Clinical and preclinical characterization of CD99 isoforms in acute myeloid leukemia. Haematologica, 105(4), 999–1012. https://doi.org/10.3324/haematol.2018.207001.
  • 15 April 2020
    • Dietrich, M., Koska, V., Hecker, C., Göttle, P., Hilla, A. M., Heskamp, A., Lepka, K., Issberner, A., Hallenberger, A., Baksmeier, C., Steckel, J., Balk, L., Knier, B., Korn, T., Havla, J., Martínez-Lapiscina, E. H., Solà-Valls, N., Manogaran, P., Olbert, E. D., Schippling, S., … Albrecht, P. (2020). Protective effects of 4-aminopyridine in experimental optic neuritis and multiple sclerosis. Brain : a journal of neurology, 143(4), 1127–1142. https://doi.org/10.1093/brain/awaa062.
  • 01 April 2020
    • Sürün, B., Schärfe, C. P. I., Divine, M. R., Heinrich, J., Toussaint, N. C., Zimmermann, L., Beha, J., & Kohlbacher, O. (2020). ClinVAP: a reporting strategy from variants to therapeutic options. Bioinformatics (Oxford, England), 36(7), 2316–2317. https://doi.org/10.1093/bioinformatics/btz924.
  • 28 March 2020
    • Havla, J., Moser, M., Sztatecsny, C., Lotz-Havla, A. S., Maier, E. M., Hizli, B., Schinner, R., Kümpfel, T., Strupp, M., Bremova-Ertl, T., & Schneider, S. A. (2020). Retinal axonal degeneration in Niemann-Pick type C disease. Journal of neurology, 267(7), 2070–2082. https://doi.org/10.1007/s00415-020-09796-2.
  • 16 March 2020
    • Chen, H., Akgün, M., Ünal, A.B. & Pfeifer, N. (2020). Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation. IWSPA ’20: Proceedings of the Sixth International Workshop on Security and Privacy Analytics. March 2020 Pages 61–69. https://doi.org/10.1145/3375708.3380316.
  • 05 February 2020
    • Lausser, L., Szekely, R., Klimmek, A., Schmid, F., & Kestler, H. A. (2020). Constraining classifiers in molecular analysis: invariance and robustness. Journal of the Royal Society, Interface, 17(163), 20190612. https://doi.org/10.1098/rsif.2019.0612.
  • 28 January 2020
    • Ringelstein, M., Harmel, J., Zimmermann, H., Brandt, A. U., Paul, F., Haarmann, A., Buttmann, M., Hümmert, M. W., Trebst, C., Schroeder, C., Ayzenberg, I., Kleiter, I., Hellwig, K., Havla, J., Kümpfel, T., Jarius, S., Wildemann, B., Rommer, P., Weber, M. S., Pellkofer, H., … Neuromyelitis Optica Study Group (NEMOS) (2020). Longitudinal optic neuritis-unrelated visual evoked potential changes in NMO spectrum disorders. Neurology, 94(4), e407–e418. https://doi.org/10.1212/WNL.0000000000008684.
  • 01 January 2020
    • Beyan, O., Choudhury, A., van Soest, J., Kohlbacher, O., Zimmermann, L., Stenzhorn, H., Karim, R., Dumontier, M., Decker S., Bonino da Silva, Santos L.O. & Dekker, A. (2020).

      Distributed analytics on sensitive medical data: The Personal Health Train. Data Intelligence,  2 (1-2): 96–107. https://doi.org/10.1162/dint_a_00032.

  • 2019
  • 18 November 2019
  • 01 November 2019
    • Bichmann, L., Nelde, A., Ghosh, M., Heumos, L., Mohr, C., Peltzer, A., Kuchenbecker, L., Sachsenberg, T., Walz, J.S., Stevanović, S., Rammensee, H.G. & Kohlbacher, O. (2019). MHCquant: Automated and Reproducible Data Analysis for Immunopeptidomics. J Proteome Res., 18(11):3876-3884. https://doi.org/10.1021/acs.jproteome.9b00313.
  • 11 October 2019
    • Ünal, A.B., Akgün, M. & Pfeifer, N. (2019). A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine. In: Mu, Y., Deng, R., Huang, X. (eds) Cryptology and Network Security. CANS 2019. Lecture Notes in Computer Science(), vol 11829. Springer, Cham. https://doi.org/10.1007/978-3-030-31578-8_27.
  • 13 August 2019
    • Batcha, A.M.N., Bamopoulos, S.A., Kerbs, P., Kumar, A., Jurinovic, V., Rothenberg-Thurley, M., Ksienzyk, B., Philippou-Massier, J., Krebs, S., Blum, H., Schneider, S., Konstandin, N., Bohlander, S.K., Heckman, C., Kontro, M., Hiddemann, W., Spiekermann, K., Braess, J., Metzeler, K.H., Greif, P.A., Mansmann, U. & Herold, T. (2019). Allelic Imbalance of Recurrently Mutated Genes in Acute Myeloid Leukaemia. Sci Rep. 9(1):11796. https://doi.org/10.1038/s41598-019-48167-4.
  • 25 July 2019
    • Oertel, F.C., Outteryck, O., Knier, B., Zimmermann, H., Borisow, N., Bellmann-Strobl, J., Blaschek, A., Jarius, S., Reindl, M., Ruprecht, K., Meinl, E., Hohlfeld, R., Paul, F., Brandt, A.U., Kümpfel, T. & Havla, J. (2019). Optical coherence tomography in myelin-oligodendrocyte-glycoprotein antibody-seropositive patients: a longitudinal study. J Neuroinflammation. 16(1):154. https://doi.org/10.1186/s12974-019-1521-5.
  • 02 July 2019
    • Röder, B., Kersten, N., de Arruda Botelho Herr, M., Speicher, N. K., & Pfeifer, N. (2019). web-rMKL: a web server for dimensionality reduction and sample clustering of multi-view data based on unsupervised multiple kernel learning. Nucleic acids research, 47(W1), W605–W609. https://doi.org/10.1093/nar/gkz422.
  • 01 – 06 July 2019
  • June 2019
    • Prasser, F., Spengler, H., Bild, R., Eicher, J., & Kuhn, K. A. (2019). Privacy-enhancing ETL-processes for biomedical data. International journal of medical informatics, 126, 72–81. https://doi.org/10.1016/j.ijmedinf.2019.03.006.
  • 17 Juni 2019
    • Li, J., Halfter, K., Zhang, M., Saad, C., Xu, K., Bauer, B., Huang, Y., Shi, L., & Mansmann, U. R. (2019). Computational analysis of receptor tyrosine kinase inhibitors and cancer metabolism: implications for treatment and discovery of potential therapeutic signatures. BMC cancer, 19(1), 600. https://doi.org/10.1186/s12885-019-5804-0.
  • 05 May 2019
    • Nolan-Kenney, R. C., Liu, M., Akhand, O., Calabresi, P. A., Paul, F., Petzold, A., Balk, L., Brandt, A. U., Martínez-Lapiscina, E. H., Saidha, S., Villoslada, P., Al-Hassan, A. A., Behbehani, R., Frohman, E. M., Frohman, T., Havla, J., Hemmer, B., Jiang, H., Knier, B., Korn, T., … International Multiple Sclerosis Visual System Consortium (2019). Optimal intereye difference thresholds by optical coherence tomography in multiple sclerosis: An international study. Annals of neurology, 85(5), 618–629. https://doi.org/10.1002/ana.25462.
  • 30 April 2019
    • Löffler, M. W., Mohr, C., Bichmann, L., Freudenmann, L. K., Walzer, M., Schroeder, C. M., Trautwein, N., Hilke, F. J., Zinser, R. S., Mühlenbruch, L., Kowalewski, D. J., Schuster, H., Sturm, M., Matthes, J., Riess, O., Czemmel, S., Nahnsen, S., Königsrainer, I., Thiel, K., Nadalin, S., … Rammensee, H. G. (2019). Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma. Genome medicine, 11(1), 28. https://doi.org/10.1186/s13073-019-0636-8.
  • 01 April 2019
    • Klotz, L., Havla, J., Schwab, N., Hohlfeld, R., Barnett, M., Reddel, S. & Wiendl, H. (2019). Risks and risk management in modern multiple sclerosis immunotherapeutic treatment. Ther Adv Neurol Disord. 12:1756286419836571. https://doi.org/10.1177/1756286419836571.
  • 09 January 2019
  • 06 June 2017
    • Hinderer, M., Boeker, M., Wagner, S. A., Lablans, M., Newe, S., Hülsemann, J. L., Neumaier, M., Binder, H., Renz, H., Acker, T., Prokosch, H. U., & Sedlmayr, M. (2017). Integrating clinical decision support systems for pharmacogenomic testing into clinical routine – a scoping review of designs of user-system interactions in recent system development. BMC medical informatics and decision making, 17(1), 81. https://doi.org/10.1186/s12911-017-0480-y.

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