• Prävalenz und prognostische Rolle der thorakalen Lymphadenopathie bei Covid-19
    Bucher A, Meyer HJ, Meinel FG,  Fink M, Wienke A, Sieren M, Kloeckner R, Penzkofer T, Vogl T, Borggrefe J, Surov A. RöFo 2024 work in press.

  • Disease Course and Pulmonary Involvement of COVID-19 during the Delta Variant Period in Germany: A Comparative Study of Vaccinated and Unvaccinated Patients at a Tertiary Hospital. 
    Steuwe A, Ljimani A, Andree M, Wienemann T, Lübke N, Walker A, Jensen BEO, Radke KL, the RACOON study group , Antoch G  and Valentin B.  BMS, to be published 2024
  • Pericardial effusion predicts clinical outcomes in patients with Covid 19. A nationwide multicenter study.
    Bucher AM, Henzel K, Meyer HJ, Ehrengut C, Müller L, Schramm D, Drechsel M, Kloeckner R, Isfort P, Sähn MJ, Fink M, More D, Meinel FG, Dreger F, May M, SieglerL, Münzfeld H, Ruppel R, Penzkofer T, Kim MS, Balzer M, Borggrefe J, Surov A. Acad Radiol 2023 in press.

  • Myosteatosis predicts short term mortality in patients with COVID-19. A multicenter analysis.
    Surov A, Meyer HJ, Hinnerichs M, Wienke A, Borggrefe J.  Nutrition 2023 in press.

  • Epicardial adipose tissue as a prognostic marker in acute pulmonary embolism.
    Aghayev A, Hinnerichs M, Wienke A, Meyer HJ, Surov A.  2023 Oct 17. doi: 10.1007/s00059-023-05210-5.

  • Chronic-intermittent diffuse alveolar hemorrhage of unknown origin. 
    Haag F, Pech M, Surov A. Rofo. 2023 Mar 2. doi: 10.1055/a-2018-3464.

  • Visceral to subcutaneous fat ratio predicts short-term mortality in patients with Covid 19. A multicenter study.
    Surov A, Thormann M, Kardas H, Hinnerichs M, Omari J, Cingöz E, Cingöz M, Dursun M, Kormaz İ, Orhan Ç, Yıldız Ö, Hocaoğlu E, Inci E, Önder H, Erk H, Chousein O, Sasani H, Gönen KA, Pech M, Wienke A. Br J Radiol. 2023 Mar 1;96(1144):20220869. doi: 10.1259/bjr.20220869

  • Prognostic Role of the Pectoralis Musculature in Patients with COVID-19. A Multicenter Study. 
    Surov A, Kardas H, Besutti G, Pellegrini M, Ottone M, Onur MR, Atak F, Erdemir AG, Hocaoglu E, Yıldız Ö, Inci E, Cingöz E, Cingöz M, Dursun M, Korkmaz İ, Orhan Ç, Strobel A, Wienke A, Pech M. Acad Radiol. 2023 Jan;30(1):77-82. doi: 10.1016/j.acra.2022.05.003

  • CT-defined pectoralis muscle mass and muscle density are associated with mortality in acute pulmonary embolism. A multicenter analysis. 
    Meyer HJ, Kardas H, Bär C, Schramm D, Wienke A, Borggrefe J, Surov A. Clinical Nutrition 2023 Vol. 42 Issue 6p1036–1040

  • Quantitative Evaluation of COVID-19 Pneumonia CT Using AI Analysis—Feasibility and Differentiation from Other Common Pneumonia Forms.
    Ebong U, Büttner, SM, Schmidt SA, Flack F, Korf P, Peters L, Grüner B, Stenger S, Stamminger T, Kestler H, Beer M, Kloth C Diagnostics (Basel). 2023 Jun 13, 2129. https://doi.org/10.3390/diagnostics13122129

  • Added value of chest CT in a machine learning-based prediction model to rule out COVID-19 before inpatient admission: a retrospective university network study.
    Krämer M., Ingwersen M., Teichgräber U., Güttler F., RACOON Consortium. (2023). European Journal of Radiology, Volume 0, Issue 0, 110827. Doi: https://doi.org/10.1016/j.ejrad.2023.110827

  • Physiological iodine uptake of the spine’s bone marrow in dual-energy computed tomography – using artificial intelligence to define reference values based on 678 CT examinations of 189 individuals.
    Fervers P, Fervers F, Rinneburger M, Weisthoff M, Kottlors J, Reimer R, Zopfs D, Celik E, Maintz D, Große-Hokamp N, Persigehl T. Front Endocrinol (Lausanne). 2023 May 19; 14:1365.

  • AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study. 
    Meng F, Kottlors J, Shahzad R, Liu H, Fervers P, Jin Y, Rinneburger M, Le D, Weisthoff M, Liu W, Ni M, Sun Y, An L, Huai X, Móré D, Giannakis A, Kaltenborn I, Bucher A, Maintz D, Zhang L, Thiele F, Li M, Perkuhn M, Zhang H, Persigehl T. Eur Radiol. 2023 Jun; 33(6):4280–91.

  • Morphological appearance of the B.1.1.7 mutation of the novel coronavirus 2 (SARS-CoV-2) in chest CT.
    Kottlors J, Fervers P, Geißen S, Gertz RJ, Bremm J, Rinneburger M, Weisthoff M, Shahzad R, Maintz D, Persigehl T. Quant Imaging Med Surg. 2023 Feb 1; 13(2):1058–70.

  • Collaborative training of medical artificial intelligence models with non-uniform labels.
    Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, Gustav Mueller-Franzes, Firas Khader, Jakob Nikolas Kather, Christiane Kuhl, Sven Nebelung, Daniel Truhn Sci Rep. 2023; 13: 6046.

  • The German Network of University Medicine: technical and organizational approaches for research data platforms. 
    Heyder R; NUM Coordination Office; NUKLEUS Study Group; NUM-RDP Coordination; RACOON Coordination; AKTIN Coordination; GenSurv Study Group. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2023 Feb;66(2):114-125. German. doi: 10.1007/s00103-022-03649-1.

  • Continual atlas-based segmentation of prostate MRI.
    Ranem A, González C, Santos DP dos, Bucher AM, Othman AE, Mukhopadhyay. arXiv; 2023. Available from: https://arxiv.org/abs/2311.00548

  • Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging.
    Wolf D, Payer T, Lisson CS, Lisson CG, Beer M, Götz M. Vol. 13, Scientific Reports. Springer Science and Business Media LLC; 2023. Available from: http://dx.doi.org/10.1038/s41598-023-46433-0

  • Interpretable Medical Image Classification Using Prototype Learning and Privileged Information.
    Gallée L, Beer M, Götz M. Lecture Notes in Computer Science. Springer Nature Switzerland; 2023. p. 435–45. Available from: http://dx.doi.org/10.1007/978-3-031-43895-0_41

  • Pericardial Effusion Predicts Clinical Outcomes in Patients with COVID-19: A Nationwide Multicenter Study.
    Bucher AM, Henzel K, Meyer HJ, Ehrengut C, Müller L, Schramm D. Academic Radiology. Elsevier BV; 2023. Available from: http://dx.doi.org/10.1016/j.acra.2023.12.003

  • Myosteatosis predicts short-term mortality in patients with COVID-19. A multicenter analysis.
    Surov A, Meyer HJ, Ehrengut C, Zimmermann S, Schramm D, Hinnerichs M. Nutrition. Elsevier BV; 2023. p. 112327. Available from: http://dx.doi.org/10.1016/j.nut.2023.112327

  • CT coronary artery calcification score as a prognostic marker in COVID-19.
    Meyer HJ, Gottschling S, Borggrefe J, Surov A. Vol. 15, Journal of Thoracic Disease. AME Publishing Company; 2023. p. 5559–65. Available from: http://dx.doi.org/10.21037/jtd-23-728

  • Epikardiales Fettgewebe als prognostischer Marker bei akuter Lungenembolie.
    Aghayev A, Hinnerichs M, Wienke A, Meyer HJ, Surov A. Herz. Springer Science and Business Media LLC; 2023. Available from: http://dx.doi.org/10.1007/s00059-023-05210-5

  • CT coronary calcium score is a prognostic marker in acute pulmonary embolism.
    Meyer HJ, Gottschling S, Bär C, Wienke A, Borggrefe J, Surov A. Vol. 229, Thrombosis Research. Elsevier BV; 2023. p. 255–7. Available from: http://dx.doi.org/10.1016/j.thromres.2023.07.010

  • Clinical importance of thoracal lymphadenopathy in COVID-19.
    Meyer HJ, Melekh B, Wienke A, Jan Borggrefe, Surov A. Vol. 16, Journal of Infection and Public Health. Elsevier BV; 2023. p. 1244–8. Available from: http://dx.doi.org/10.1016/j.jiph.2023.05.031

  • Chronisch-intermittierende diffuse alveoläre Hämorrhagien mit unklarer Genese.
    Haag F, Pech M, Surov A. Vol. 195, RöFo – Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. Georg Thieme Verlag KG; 2023. p. 620–2. Available from: http://dx.doi.org/10.1055/a-2018-3464

  • Classifying sex with volume-matched brain MRI.
    Ebel M, Domin M, Neumann N, Schmidt CO, Lotze M, Stanke M. Vol. 3, Neuroimage: Reports. Elsevier BV; 2023. p. 100181. Available from: http://dx.doi.org/10.1016/j.ynirp.2023.100181

  • Validation of clinical-radiological scores for prognosis of mortality in acute pulmonary embolism.
    Surov A, Thormann M, Bär C, Wienke A, Borggrefe J.  Respir Res. 2023 Aug 5;24(1):195.

  • Survival prediction of NSCLC patients using fully automated CT-based body composition analysis of the abdominal cavity. 
    Künnemann M-D, Römer C, Helfen A, Schuler M, Bleckmann A, Nensa F, Heindel W, Hosch R.  (Angenommen beim RöKo, finale Einreichung steht aus) 
  • Meaningful use of imaging resources to rule out cerebral venous sinus thrombosis after ChAdOx1 COVID-19 vaccination: Evaluation of the AHA diagnostic algorithm with a clinical cohort and a systematic data review. 
    Fervers P, Kottlors J, Persigehl T, Lennartz S, Maus V, Fischer S, Styczen H, Deuschl C, Schlamann M, Mpotsaris A, Zubel S, Schroeter M, Maintz D, Fink GR, Abdullayev N. J Clin Neurosci. 2022 Aug; 102:5-12. doi: 10.1016/j.jocn.2022.05.031. Epub 2022 Jun 6.

  • CODEX Meets RACOON – A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data. 
    Schmidt M, Gebauer S, Bartholmes A, Kadioglu D, Kleesiek J, Hamm B, Vogl TJ, Penzkofer T, Bucher AM, Storf H. Stud Health Technol Inform. 2022 Aug 17;296:58-65. doi: 10.3233/SHTI220804. PMID: 36073489.

  • Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana.
    Kades, K., Scherer, J., Zenk, M., Kempf, M., & Maier-Hein, K. (2022). In Lecture Notes in Computer Science (pp. 130–140). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-18523-6_13

  • Possible Alterations of Imaging Patterns in Computed Tomography for Delta-VOC of SARS-CoV-2. 
    Yüksel C, Sähn MJ, Kleines M, Brokmann JC, Kuhl CK, Truhn D, Ritter A, Isfort P, Schulze-Hagen MF. Rofo. 2022 Nov;194(11):1229-1241. doi: 10.1055/a-1826-0436. Epub 2022 Jul 18. PMID: 35850138