Publications in the NUM
Here you will find a list of publications that were written in connection with the Network of University Medicine in the first and second funding phases.
Allgoewer K,
Lavenia A,
Secco L,
Schaller T,
Fitzek A,
Kriebel C,
Azeke AT,
Kondo T,
Tse R,
Chui P,
Schmiedel S,
Ondruschka B.
Autopsy practices for high-consequence infectious diseases: Global guidelines, alternatives, and the BSL-4 gap.
Emerging Microbes & Infections.
2026 Dec.;
15(1):2678656.
[DOI]
[File]
Bayerl N,
Appel J,
Schmidt M,
Cavallaro A,
Grimm R,
Busch H,
Wullich B,
Hartmann A,
Schlicht M,
Uder M,
May MS,
Ellmann S.
Diagnostic performance of AI-powered prostate MRI against biopsy ground truth: quasi-continuous risk scoring versus fixed PI-RADS thresholds.
Cancer imaging : the official publication of the International Cancer Imaging Society.
2026 Sep.;
26(1):
[DOI]
[File]
Pfeil A,
Hoffmann T,
Teichgräber U,
Renz D,
Beckmann D,
Wolf G,
Schadewaldt N,
Lassen-Schmidt B.
Beyond Visual Scoring: Computational Computed Tomography Analysis for High-Resolution Computed Tomography-Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease.
Arthritis care & research.
2026 Aug.;
[DOI]
[File]
Zoch M,
Gierschner C,
Weidner J,
Sedlmayr M,
M"uller G,
Choukair D,
Hoffmann GF,
Toepfner N,
Berner R,
Prasser F,
Schepers J,
Hebestreit H.
Decentralized rare disease studies in Germany: first results and
hurdles of secondary use of patient data.
BMC Med. Inform. Decis. Mak..
2026 Aug.;
26(1):
Grube S,
Latus S,
Moebius D,
Fischer M,
Raudonis V,
Heinemann A,
Ondruschka B,
Schlaefer A.
An AI Based Mobile Robot for Autonomous Ultrasound in Legal Medicine.
IEEE Access.
2026 Jul.;
14108851-108865.
[DOI]
Schultebraucks K,
Gershov S,
Fischer F,
Wingenfeld K,
Schmidt S,
Steinbrecher S,
Zoller T,
Steinbeis F,
P"utz SM,
Deckert J,
Scherer M,
Br"ohl I,
Wagner P,
Appel KS,
Kohls M,
Jiru-Hillmann S,
Nauck M,
Lorenz-Depiereux B,
Blaschke S,
Muzalyova A,
Stellbrink C,
Steinmetz A,
Addo MM,
Dahl E,
Zettler M,
Hansch S,
Dinkel A,
Keitel V,
Vehreschild MJGT,
Vehreschild JJ,
Paul F,
Witzenrath M,
Rose M,
Otte C.
An externally validated machine learning algorithm for
predicting mental and physical health outcomes three months
post-hospitalization for severe viral infection with
SARS-CoV-2.
Brain Behav. Immun. Health.
2026 Jul.;
54(101267):101267.
Juglan R,
Ligero M,
Carrero ZI,
Rabasco Meneghetti A,
Lenz T,
Misera L,
Veldhuizen GP,
Kuntke P,
Kitzler HH,
Nebelung S,
Truhn D,
Kather JN.
Generalizable and explainable deep learning for brain MRI: a multi-cohort evaluation of 3D architectures for age and sex prediction.
Brain informatics.
2026 Jul.;
13(1):
[DOI]
[File]
Sailer B,
Sari-Yavuz S,
Biergans S,
Verb"ucheln R,
Achauer L,
Rosenberger P,
Hardt M,
Koeppen M.
Interpretable machine learning models for predicting
perioperative myocardial injury in non-cardiac surgery.
Eur. Heart J. Digit. Health.
2026 Jul.;
7(6):ztag093.
Sailer B,
Sari-Yavuz S,
Biergans S,
Verb"ucheln R,
Achauer L,
Rosenberger P,
Hardt M,
Koeppen M.
Interpretable machine learning models for predicting
perioperative myocardial injury in non-cardiac surgery.
Eur. Heart J. Digit. Health.
2026 Jul.;
7(6):ztag093.
Kesselmeier M,
Thalheim T,
Schmidt F,
Peschel T,
Palm J,
Strübing A,
Medek A,
Przybilla J,
Wermund AM,
Maas R,
Härterich S,
Redeker L,
Federbusch M,
Steinbach D,
Gewehr J,
Wurlitzer M,
Riedel A,
Meineke F,
Neumann D,
Scherag A,
Loeffler M,
Polar_mi OBO.
A distributed analysis approach for pharmacovigilance data from electronic medical records in German university hospitals: the POLAR_MI ETL Pipeline.
BMC Medical Informatics and Decision Making.
2026 Jun.;
26(1):
[DOI]
[File]
Jaiswal A,
Rinneburger M,
Meyer F,
Arjune S,
Oberlinkels L,
Wawer Matos Reimer PA,
Lotter-Becker L,
Akünal Ü,
Bujotzek M,
Denner S,
Maier-Hein K,
Stepansky L,
May MS,
Habert M,
Köhn A,
Schöneck M,
Wawer Matos Reimer RP,
Müller R,
Lennartz S,
Große Hokamp N,
Bucher A,
Persigehl T,
Caldeira L.
Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.
Radiology. Artificial intelligence.
2026 Jun.;
e250200.
[DOI]
[File]
Surov A,
Wienke A,
Hinnerichs M,
Sticklus L,
Kloeckner R,
Sieren M,
Meinel FG,
Hillebrand J,
Lubina N,
Wollny C,
Jorg T,
Moos M,
Borggrefe J.
Low Skeletal Muscle Mass Predicts 30-day Mortality in Patients With Acute Pulmonary Embolism. A Multicenter Study.
Academic radiology.
2026 Jun.;
[DOI]
[File]
Eicke M,
Geissler K,
Heepe J,
Krueger MB,
Winther HB,
Heymann A,
Knörr F,
Bucher AM,
Herrmann J,
Benoit C,
Mentzel H,
Schenk A,
Wößmann W,
Renz DM,
Lassen-Schmidt B.
Paediatric thoracal and abdominal organ segmentation in CT and MRI using global intensity non-linear augmentation.
European Journal of Radiology Artificial Intelligence.
2026 Jun.;
6100096.
[DOI]
[File]
Fischer MP,
Mayer A,
Braun A,
Kraft J,
Hansen CM,
Baumgärtner GL,
Asbach P,
Padhani AR,
Penzkofer T,
König F,
Awasthi S,
Makowski MR,
Ripke S,
Hamm CA.
Polygenic risk scores for premagnetic resonance imaging risk stratification in men with clinically suspected prostate cancer.
Journal of the National Cancer Institute.
2026 Jun.;
118(6):1063-1072.
[DOI]
[File]
Eminovic S,
Schmidt R,
Levita B,
Lindholz M,
Haack A,
Burdenski A,
Bui M,
Schobert IT,
Dell'Orco A,
Nawabi J,
Penzkofer T.
Supporting Radiology Resident Education and Clinical Decision-Making With Large Language Models: Comparative Study of Reasoning Models DeepSeek-R1 and ChatGPT-o1.
JMIR AI.
2026 Jun.;
5e86974.
[DOI]
[File]
Eminovic S,
Lindholz M,
Dell'Orco A,
Meddeb A,
Baumgärtner GL,
Schulze-Weddige S,
Siebert E,
Wattjes MP,
Penzkofer T,
Nawabi J.
Comparing performance of seven fine-tuned open-source large language models in summarizing and predicting outcome-relevant information from mechanical thrombectomy reports in patients with acute ischemic stroke.
European radiology.
2026 May;
36(5):3661-3675.
[DOI]
[File]
Hamm CA,
Rüterhenke T,
Baumgärtner GL,
Mayerosch C,
Schallenberg S,
Lindholz M,
Beetz NL,
Asbach P,
Penzkofer T.
Imaging-based clinical decision tree enables risk stratification of extraprostatic extension before radical prostatectomy in prostate cancer patients.
Insights into imaging.
2026 May;
17(1):
[DOI]
[File]
Heinrich F,
Lücke J,
Zhang S,
Sabihi M,
Bernreuther C,
Giersch K,
Allweiss L,
Hartmann K,
Thies E,
Lange P,
Matschke J,
Kühl AA,
Mothes R,
Radbruch H,
Schröder AS,
Heinemann A,
Dandri M,
Aepfelbacher M,
Huber S,
Giannou A,
Glatzel M,
Ondruschka B,
Lütgehetmann M,
Krasemann S.
Spatiotemporal distribution of SARS-CoV-2 vaccines and vaccine-related proteins in mice and humans.
Scientific Reports.
2026 May;
16(1):15479.
[DOI]
[File]
TRANSPARENT ,
Group AR,
Bienzeisler J,
Heidemeyer H,
Roehrig R,
Kombeiz A,
Alhaskir M,
Hertwig M,
Unterkofler J,
Brokmann J,
Otto R,
Panagiotidis D,
Beyel HH,
Pegoraro M,
Peeva V,
Schwanen CT,
Van Der Aalst WMP,
Zoch-Lesniak B,
Wittmar R,
Majeed RW.
A Regional Data Space for Urgent and Emergency Care in Germany. In:
Giacomini, Mauro and Delgado, Jaime and Arvanitis, Theodoros N. and Andrikopoulou, Elisavet and Benis, Arriel and Balestra, Gabriella and Bellazzi, Riccardo and Gallos, Parisis and Gatta, Roberto and Giacobbe, Daniele Roberto and Giordano, Noemi and Hägglund, Maria and Lindsköld, Lars and Lhotska, Lenka and Marceglia, Sara and Parimbelli, Enea and Sacchi, Lucia and Soda, Paolo and Stoicu-Tivadar, Lăcrămioara and Veltri, Pierangelo and Vizza, Patrizia, editors.
Studies in Health Technology and Informatics.
IOS Press;
2026 May.
[DOI]
[File]
Heidemeyer H,
Wedek E,
Majeed RW,
Heitmann KU,
Kombeiz A,
Ehrentreich S,
Drynda S,
Otto R,
Schirrmeister W,
Röhrig R,
Bienzeisler J.
Extending Interoperable Emergency Department Data: Standards-Based Design and Evaluation in AKTIN. In:
Giacomini, Mauro and Delgado, Jaime and Arvanitis, Theodoros N. and Andrikopoulou, Elisavet and Benis, Arriel and Balestra, Gabriella and Bellazzi, Riccardo and Gallos, Parisis and Gatta, Roberto and Giacobbe, Daniele Roberto and Giordano, Noemi and Hägglund, Maria and Lindsköld, Lars and Lhotska, Lenka and Marceglia, Sara and Parimbelli, Enea and Sacchi, Lucia and Soda, Paolo and Stoicu-Tivadar, Lăcrămioara and Veltri, Pierangelo and Vizza, Patrizia, editors.
Studies in Health Technology and Informatics.
IOS Press;
2026 May.
[DOI]
[File]
Tahar K,
Schirrmeister W,
Ehrentreich S,
Drynda S,
Bienzeisler J,
Walcher F,
Otto R.
Harmonized Data Quality Assessments on Emergency Data Across Multiple Hospitals. In:
Giacomini, Mauro and Delgado, Jaime and Arvanitis, Theodoros N. and Andrikopoulou, Elisavet and Benis, Arriel and Balestra, Gabriella and Bellazzi, Riccardo and Gallos, Parisis and Gatta, Roberto and Giacobbe, Daniele Roberto and Giordano, Noemi and Hägglund, Maria and Lindsköld, Lars and Lhotska, Lenka and Marceglia, Sara and Parimbelli, Enea and Sacchi, Lucia and Soda, Paolo and Stoicu-Tivadar, Lăcrămioara and Veltri, Pierangelo and Vizza, Patrizia, editors.
Studies in Health Technology and Informatics.
IOS Press;
2026 May.
[DOI]
[File]
Group AR,
Kombeiz A,
Wedek E,
Hüning S,
Heidemeyer H,
Majeed RW,
Röhrig R,
Bienzeisler J.
Implementing a Secure CI/CD Pipeline for Verifiable Trust in a Federated Health Data Network. In:
Giacomini, Mauro and Delgado, Jaime and Arvanitis, Theodoros N. and Andrikopoulou, Elisavet and Benis, Arriel and Balestra, Gabriella and Bellazzi, Riccardo and Gallos, Parisis and Gatta, Roberto and Giacobbe, Daniele Roberto and Giordano, Noemi and Hägglund, Maria and Lindsköld, Lars and Lhotska, Lenka and Marceglia, Sara and Parimbelli, Enea and Sacchi, Lucia and Soda, Paolo and Stoicu-Tivadar, Lăcrămioara and Veltri, Pierangelo and Vizza, Patrizia, editors.
Studies in Health Technology and Informatics.
IOS Press;
2026 May.
[DOI]
[File]
Mayr S,
Zicha S,
Giese D,
Kopp M,
Schmidt S,
Arndt S,
Sommerfeld L,
Kleiss J,
Uder M,
May MS.
Cardiac Magnetic Resonance Imaging at Lower Field Strength: A Comparison of Biventricular Cine and Quantitative T1 and T2 Maps at 0.55T and 1.5T.
Investigative radiology.
2026 Apr.;
61(4):251-260.
[DOI]
[File]
Saclier S,
He Y,
Klockner J,
Noack L,
Ramtke J,
Chapiro J,
Ruppel R,
Hesse F,
Abosabie SAS,
Unger JK,
Schmidt R,
Gebauer B,
Savic LJ.
Establishing selection criteria for male New Zealand white rabbits in interventional radiology research using organ volumes and vessel diameters.
European radiology experimental.
2026 Apr.;
10(1):
[DOI]
[File]
Hoffmann W,
Berg N,
Schmitt J,
Ihle P,
Anton G,
Datzmann T,
Franke B,
Geraedts M,
Gloystein S,
Hanß S,
Heinrich P,
Henke E,
Hennings A,
Heuschmann P,
Illig T,
Kraus M,
Lang C,
M"uller G,
Neumann A,
Ortmann S,
Priya V,
Reese J,
Sax U,
Scheithauer S,
Schoffer O,
Sedlmayr M,
Semler SC,
Swart E,
Wissing F,
Zeißig SR,
Heyder R.
Health research requires the linking of healthcare-related data.
Gesundheitswesen.
2026 Apr.;
Hartung TJ,
Steigerwald F,
Romanello A,
Kodde C,
Endres M,
Frank S,
Heuschmann P,
Koehler P,
Krohn S,
Pape D,
Schaller J,
St"ocklein S,
Vadasz I,
Vehreschild J,
Witzenrath M,
Zoller T,
Finke C,
Group NS.
Post-COVID fatigue is associated with reduced cortical
thickness after hospitalization.
Ann. Clin. Transl. Neurol..
2026 Apr.;
13(4):755—766.
Walter-Rittel TC,
Gorodetski B,
Hartenstein A,
Rogasch J,
Schatka I,
Amthauer H,
Makowski M,
Hamm CA,
Penzkofer T.
CT Radiomics Models Did Not Outperform Experts in Predicting [68Ga]Ga-PSMA-PET Positivity in Prostate Cancer Lymph Node Staging.
Current oncology (Toronto, Ont.).
2026 Mar.;
33(3):
[DOI]
[File]
Kraus T,
Napierala H,
Schrimpf A,
Joos S,
Blaschke S,
Hanses F,
Vehreschild MJGT,
Hamelmann E,
Schmidt J,
Scheer CS,
R"ommele C,
G"opel S,
Almahfoud M,
Dahl E,
Hamprecht A,
Kaasch AJ,
Wendel J,
Ole Jensen B,
Tepasse P,
Dashti H,
Vehreschild JJ,
Scherer M,
Br"ohl I,
Raquib S,
N"urnberger C,
Reese J,
Appel KS,
Krefting D,
F"orster C,
Group NS.
Impact of COVID-19 vaccination on post-COVID syndrome across
clinical definitions and phenotypes: a prospective multicenter
cohort study.
Mayo Clin. Proc..
2026 Mar.;
Balzer M,
Elsakka A,
Luijten G,
Schormann K,
Jovic S,
Gerigk M,
Mazilescu L,
Schmitz S,
Keyl J,
Liszio S,
Basu O,
Goraus BM,
Kasper S,
Kleesiek J,
Hinrichs-Puladi B,
Egger J.
OncoVR - Virtual Reality in Oncology for Patient-centered Care: A Systematic Review and Meta-Analysis.
Current oncology reports.
2026 Mar.;
28(1):
[DOI]
[File]
Nawabi J,
Schulze-Weddige S,
Baumgärtner GL,
Orth T,
Dell’Orco A,
Morotti A,
Mazzacane F,
Kniep H,
Nolte CH,
Hanning U,
Scheel M,
Fiehler J,
Wattjes MP,
Penzkofer T.
Reliability and predictors of automated volume quantification with neural networks in intracerebral hemorrhage.
European Journal of Radiology Artificial Intelligence.
2026 Mar.;
5100067.
[DOI]
[File]