© Frauenhofer MEVIS
© Frauenhofer MEVIS
Prof. Horst Hahn

Further information:

Director of theFraunhofer Institute for Digital Medicine MEVIS. Spokesperson of the lead project “AI” of the U Bremen Research Alliance.

Ecosystem

Publications
July 2025 // Journal article

Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke Guidelines

JMIR Medical Informatics

Sandrine Müller; Susanne Diekmann; Markus Wenzel; Horst Karl Hahn; Johannes Tuennerhoff; Ulrike Ernemann; Florian Hennersdorf; Max Westphal; Sven Poli

July 2024 // Journal article

Making Epidemiological and Clinical Studies FAIR Using the Example of COVID-19

Database spectrum

Iris Pigeot; Wolfgang Ahrens; Johannes Darms; Juliane Fluck; Martin Golebiewski; Horst K. Hahn; Xiaoming Hu; Timm Intemann; Elisa Kasbohm; Toralf Kirsten; Sebastian Klammt; Sophie Anne Ines Klopfenstein; Bianca Lassen-Schmidt; Manuela Peters; Ulrich Sax; Dagmar Waltemath; Carsten Oliver Schmidt

2024 // Conference paper

Annotation-Efficient Strategy for Segmentation of 3D Body Composition

Proceedings of Machine Learning Research

Philipp, L.; de Rooij, M.; Hermans, J.; Rutten, M.; Hahn, H.; van Ginneken, B.; Hering, A.

2024 // Journal article

Cooperative AI training for cardiothoracic segmentation in computed tomography: An iterative multi-center annotation approach

European Journal of Radiology

Lassen-Schmidt, B.; Baessler, B.; Gutberlet, M.; Berger, J.; Brendel, J.M.; Bucher, A.M.; Emrich, T.; Fervers, P.; Kottlors, J.; Kuhl, P.; May, M.S.; Penzkofer, T.; Persigehl, T.; Renz, D.; Sähn, M.-J.; Siegler, L.; Kohlmann, P.; Köhn, A.; Link, F.; Meine, H.; Thiemann, M.T.; Hahn, H.K.; Sieren, M.M.

2024 // Conference paper

Deformable current-prior registration of DCE breast MR images on multi-site data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Geissler, K.; Ambroladze, A.; Papenberg, N.; Koller, T.L.; Amer, H.; Fallenberg, E.M.; Kurt, S.A.; Ingrisch, M.; Hahn, H.K.

2024 // Journal article

Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow

International Journal of Computer Assisted Radiology and Surgery

Hering, A.; Westphal, M.; Gerken, A.; Almansour, H.; Maurer, M.; Geisler, B.; Kohlbrandt, T.; Eigentler, T.; Amaral, T.; Lessmann, N.; Gatidis, S.; Hahn, H.; Nikolaou, K.; Othman, A.; Moltz, J.; Peisen, F.

2024 // Journal article

Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics

Insights into Imaging

Floca, R.; Bohn, J.; Haux, C.; Wiestler, B.; Zöllner, F.G.; Reinke, A.; Weiß, J.; Nolden, M.; Albert, S.; Persigehl, T.; Norajitra, T.; Baeßler, B.; Dewey, M. Braren, R.; Büchert, M.; Fallenberg, E.M.; Galldiks, N.; Gerken, A.; Götz, M.; Hahn, H.K.; Haubold, J.; Haueise, T.; Große Hokamp, N.; Ingrisch, M.; Iuga, A.-I.; Janoschke, M.; Jung, M.; Kiefer, L.S.; Lohmann, P.; Machann, J.; Moltz, J.H.; Nattenmüller, J.; Nonnenmacher, T.; Oerther, B.; Othman, A.E.; Peisen, F.; Schick, F.; Umutlu, L.; Wichtmann, B.D.; Zhao, W.; Caspers, S.; Schlemmer, H.-P.; Schlett, C.L.; Maier-Hein, K.; Bamberg, F.

2023 // Journal article

A machine learning method for the identification and characterization of novel COVID-19 drug targets

Scientific Reports

Schultz, B.; DeLong, L.N.; Masny, A.; Lentzen, M.; Raschka, T.; van Dijk, D.; Zaliani, A.; Hansen, A.F.; Sabine; Rüping, K.S.; Burmeister, J.; Kohlhammer, J.; Sarau, G.; Christiansen, S.; Kannt, A.; Foldenauer, A.C.; Claussen, C.; Resch, E.; Frank, K.; Gribbon, P.; Kuzikov, M.; Keminer, O.; Laue, H.; Hahn, H.; Hirsch, J.; Wischnewski, M.; Günther, M.; Archipovas, S.; Kodamullil, A.T.; Gemünd, A.; Steinborn, C.; Ebeling, C.; Fernández, D.D.; Hermanowski, H.; Fröhlich, H.; Klein, J.; Jacobs, M.; Hofmann-Apitius, M.; Knieps, M.; Krapp, M.; Wendland, P.J.; Wegner, P.; Khatami, S.G.; Springstubbe, S.; Linden, T.; Fluck, J.

2023 // Conference paper

CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study: Initial Findings on Quality vs Quantity of Training Annotations

Computer science current

Ambroladze, A.; Hahn, H.K.; Amer, H.; Ingrisch, M.; Gerken, A.; Wenzel, M.; Püsken, M.; Mittermeier, A.; Engel, C.; Schmutzler, R.; Fallenberg, E.M.

2023 // Conference paper

Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Canalini, L.; Klein, J.; Gerken, A.; Heldmann, S.; Hering, A.; Hahn, H.K.

2022 // Other

Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions

arXiv

Canalini, L.; Klein, J.; de Barros, N.P.; Sima, D.M.; Miller, D.; Hahn, H.

2022 // Journal article

Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation

Cancers

Enke, J.S.; Moltz, J.H.; D'anastasi, M.; Kunz, W.G.; Schmidt, C.; Maurus, S.; Mühlberg, A.; Katzmann, A.; Sühling, M.; Hahn, H.; Nörenberg, D.; Huber, T.

2022 // Journal article

Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow

IEEE Access

Chlebus, G.; Schenk, A.; Hahn, H.K.; Van Ginneken, B.; Meine, H.

2021 // Journal article

Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI

Computer Methods and Programs in Biomedicine

Meyer, A.; Chlebus, G.; Rak, M.; Schindele, D.; Schostak, M.; van Ginneken, B.; Schenk, A.; Meine, H.; Hahn, H.K.; Schreiber, A.; Hansen, C.

2021 // Journal article

Automation of data analysis in molecular cancer imaging and its potential impact on future clinical practice

Methods

Theek, B.; Magnuska, Z.; Gremse, F.; Hahn, H.; Schulz, V.; Kiessling, F.

2021 // Conference paper

Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Canalini, L.; Klein, J.; Pedrosa De Barros, N.; Sima, D.M.; Miller, D.; Hahn, H.

2021 // Journal article

Erratum: The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples (Fortschr Röntgenstr (2021) 193 (276-288) DOI: 10.1055/a-1244-2775),Erratum: The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples (Fortschr Röntgenstr (2021) 193 (276-288) DOI: 10.1055/a-1244-2775)

RoFo Advances in the field of Rontgen rays and imaging techniques

Overhoff, D.; Kohlmann, P.; Frydrychowicz, A.; Gatidis, S.; Loewe, C.; Moltz, J.; Kuhnigk, J.-M.; Gutberlet, M.; Winter, H.; Völker, M.; Hahn, H.; Schoenberg, S.O.; Attenberger, U.; Bamberg, F.; Baeßler, B.; Barkhausen, J.; Forsting, M.; Furtner-Srajer, J.; Hahn, H.K.; Herold, C.; Kaindl, A.; Kather, J.; Kikinis, R.; Krause, B.J.; Krombach, G.; Ladd, M.E.; Langs, G.; Lohwasser, S.; Lotz, J.; Pinto Dos Santos, D.; Prosch, H.; Winther, H.; Zimmermann, M.; Antoch, G.; Anton, F.; Dörfler, A.; Körber, F.; Layer, G.; Neumann, S.; Weßling, J.; Wucherer, M.; Forstner, R.; Gizewski, E.R.; Hausegger, K.A.; Heinz, G.; Sorantin, E.; Wicke, K.

2021 // Journal article

Making COVID-19 research data more accessible-building a nationwide information infrastructure,Making COVID-19 research data more accessible - building a nationwide information infrastructure

Bundesgesundheitsblatt - Health research - Health protection

Schmidt, C.O.; Fluck, J.; Golebiewski, M.; Grabenhenrich, L.; Hahn, H.; Kirsten, T.; Klammt, S.; Löbe, M.; Sax, U.; Thun, S.; Pigeot, I. Ahrens, W.; Darms, J.; Henke, J.; Hu, X.; Klopfenstein, S.; Langnickel, L.; Lassen-Schmidt, B.; Pohlabeln, H.; Lieser, M.; Näher, A.-F.; Scholz, M.; Vorisek, C.; Waltemath, D.; Wünsche, H.

2021 // Journal article

Quantitative imaging biomarkers of the whole liver tumor burden improve survival prediction in metastatic pancreatic cancer

Cancers

Gebauer, L.; Moltz, J.H.; Mühlberg, A.; Holch, J.W.; Huber, T.; Enke, J.; Jäger, N.; Haas, M.; Kruger, S.; Boeck, S.; Sühling, M.; Katzmann, A.; Hahn, H.; Kunz, W.G.; Heinemann, V.; Nörenberg, D.; Maurus, S.

2021 // Other

Robust segmentation models using an uncertainty slice sampling based annotation workflow

arXiv

Chlebus, G.; Schenk, A.; Hahn, H.K.; van Ginneken, B.; Meine, H.

2021 // Other

The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

arXiv

Baheti, B.; Chakrabarty, S.; Akbari, H.; Bilello, M.; Wiestler, B.; Schwarting, J.; Calabrese, E.; Rudie, J.; Abidi, S.; Mousa, M.; Villanueva-Meyer, J.; Fields, B.K.K.; Kofler, F.; Shinohara, R.T.; Iglesias, J.E.; Mok, T.C.W.; Chung, A.C.S.; Wodzinski, M.; Jurgas, A.; Marini, N.; Atzori, M.; Müller, H.; Grosbröhmer, C.; Siebert, H.; Hansen, L.; Heinrich, M.P.; Canalini, L.; Klein, J.; Gerken, A.; Heldmann, S.; Hering, A.; Hahn, H.K.; Meng, M.; Bi, L.; Feng, D.; Kim, J.; Zeineldinal, R.A.; Karar, M.E.; Mathis-Ullrich, F.; Burgert, O.; Abderezaei, J.; Pionteck, A.; Chopra, A.; Kurt, M.; Yan, K.; Yan, Y. Tang, Z.; Ma, J.; Nasser, S.A.; Kurian, N.C.; Meena, M.; Shamsi, S.; Sethi, A.; Tustison, N.J.; Avants, B.B.; Cook, P. Gee, J.C.; Tian, L.; Greer, H.; Niethammer, M.; Hoopesar, A.; Hoffmannas, M.; Dalcaar, A.V.; Christodoulidis, S.; Estiene, T.; Vakalopoulou, M.; Paragios, N.; Marcus, D.S.; Davatzikos, C.; Sotiras, A.; Menze, B.; Bakas, S.; Waldmannstetter, D.

2021 // Journal article

The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples

RoFo Advances in the field of Rontgen rays and imaging techniques

Overhoff, D.; Kohlmann, P.; Frydrychowicz, A.; Gatidis, S.; Loewe, C.; Moltz, J.; Kuhnigk, J.-M.; Gutberlet, M.; Winter, H.; Völker, M.; Hahn, H.; Schoenberg, S.O.; Attenberger, U.; Bamberg, F.; Baeßler, B.; Barkhausen, J.; Forsting, M.; Furtner-Srajer, J.; Hahn, H.K.; Herold, C.; Kaindl, A.; Kather, J.; Kikinis, R.; Krause, B.J.; Krombach, G.; Ladd, M.E.; Langs, G.; Lohwasser, S.; Lotz, J.; Pinto Dos Santos, D.; Prosch, H.; Winther, H.; Zimmermann, M.; Antoch, G.; Anton, F.; Dörfler, A.; Körber, F.; Layer, G.; Neumann, S.; Weßling, J.; Wucherer, M.; Forstner, R.; Gizewski, E.R.; Hausegger, K.A.; Heinz, G.; Sorantin, E.; Wicke, K.

2020 // Other

Anisotropic 3D Multi-stream CNN for accurate prostate segmentation from Multi-Planar MRI

arXiv

Meyer, A.; Chlebus, G.; Rak, M.; Schindele, D.; Schostak, M.; van Ginneken, B.; Schenk, A.; Meine, H.; Hahn, H.K.; Schreiber, A.; Hansen, C.

2020 // Conference paper

Feasibility of End-To-End Trainable Two-Stage U-Net for Detection of Axillary Lymph Nodes in Contrast-Enhanced CT Based Scans on Sparse Annotations

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Altun, H.C.; Chlebus, G.; Jacobs, C.; Maine, H.; Van Ginneken, B.; Hahn, H.K.

2020 // Journal article

Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

European Radiology

Bukowski, M.; Farkas, R.; Beyan, O.; Moll, L.; Hahn, H.; Kiessling, F.; Schmitz-Rode, T.