Joint publications

  • Ertekin, Ö., Monavari, M., Krüger, R., Fuentes Chandia, M.A., Parma, B., Letort, G.,… Leal-Egaña, A. (2022). 3D hydrogel-based microcapsules as an in vitro model to study tumorigenicity, cell migration and drug resistance. Acta Biomaterialia. https://dx.doi.org/10.1016/j.actbio.2022.02.010
  • Mennecke, A., Khakzar, K.M., German, A., Herz, K., Fabian, M., Liebert, A.,… Zaiß, M. (2022). 7 tricks for 7 T CEST: Improving the reproducibility of multipool evaluation provides insights into the effects of age and the early stages of Parkinson’s disease. NMR in Biomedicine. https://dx.doi.org/10.1002/nbm.4717
  • Hu, X., Zhou, J., Li, Y., Wang, Y., Guo, J., Sack, I.,… Wang, C. (2022). Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) Model. Cancers, 14(11). https://dx.doi.org/10.3390/cancers14112575
  • Abuhattum, S., Kotzbeck, P., Schlüßler, R., Harger, A., Ariza de Schellenberger, A., Kim, K.,… Guck, J. (2022). Adipose cells and tissues soften with lipid accumulation while in diabetes adipose tissue stiffens. Scientific Reports, 12(1). https://dx.doi.org/10.1038/s41598-022-13324-9
  • Folle, L., Bayat, S., Kleyer, A., Fagni, F., Kapsner, L., Schlereth, M.,… Simon, D. (2022). Advanced neural networks for classification of MRI in psoriatic arthritis, seronegative, and seropositive rheumatoid arthritis. Rheumatology. https://dx.doi.org/10.1093/rheumatology/keac197
  • Amini, R., Bhatnagar, A., Schlüßler, R., Möllmert, S., Norden, C., & Guck, J. (2022). Amoeboid-like migration ensures correct horizontal cell layer formation in the developing vertebrate retina. eLife, 11. https://dx.doi.org/10.7554/eLife.76408
  • Schlereth, M., Stromer, D., Breininger, K., Wagner, A., Tan, L., Maier, A., & Knieling, F. (2022). Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 285-290). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
  • Ovsepyan, A.L., Smirnov, A.A., Pustozerov, E.A., Mokhov, D.E., Mokhova, E.S., Trunin, E.M.,… Starchik, D.A. (2022). Biomechanical analysis of the cervical spine segment as a method for studying the functional and dynamic anatomy of the human neck. Annals of Anatomy-Anatomischer Anzeiger, 240. https://dx.doi.org/10.1016/j.aanat.2021.151856
  • Denzinger, F., Wels, M., Taubmann, O., Gülsün, M.A., Schöbinger, M., Andre, F.,… Breininger, K. (2022). CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. In Proceedings of the Medical Imaging with Deep Learning. Zürich, CH.
  • Folle, L., Bayat, S., Kleyer, A., Fagni, F., Kapsner, L., Schlereth, M.,… Schett, G. (2022, June). CLASSIFICATION OF PSORIATIC ARTHRITIS, SERONEGATIVE RHEUMATOID ARTHRITIS, AND SEROPOSITIVE RHEUMATOID ARTHRITIS USING DEEP LEARNING ON MAGNETIC RESONANCE IMAGING. Paper presentation at EULAR Congress, Kopenhagen, DK.
  • Bertram, C.A., Aubreville, M., Donovan, T.A., Bartel, A., Wilm, F., Marzahl, C.,… Klopfleisch, R. (2022). Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy. Veterinary Pathology, 59(2), 211-226. https://dx.doi.org/10.1177/03009858211067478
  • Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U., Distel, L.,… Putz, F. (2022). Deep learning for brain metastasis detection and segmentation in longitudinal MRI data. Medical Physics. https://dx.doi.org/10.1002/mp.15863
  • Kunze, H., Kordon, F.J., Maier, A., & Breininger, K. (2022). Direct and indirect image rotation estimation methods of orthopedic x-ray images. In Išgum I, Colliot O (Eds.), Medical Imaging 2022: Image Processing. San Diego, CA, US: SPIE.
  • Jabari, S., Kobow, K., Pieper, T., Hartlieb, T., Kudernatsch, M., Polster, T.,… Blümcke, I. (2022). DNA methylation-based classification of malformations of cortical development in the human brain. Acta Neuropathologica, 143(1), 93-104. https://dx.doi.org/10.1007/s00401-021-02386-0
  • Martínez Sánchez, L.d.C., Phuong Anh Ngo, ., Pradhan, R., Becker, L.S., Böhringer, D., Soteriou, D.,… Lopez Posadas, R. (2022). Epithelial RAC1-dependent cytoskeleton dynamics controls cell mechanics, cell shedding and barrier integrity in intestinal inflammation. Gut. https://dx.doi.org/10.1136/gutjnl-2021-325520
  • Kunzmann, S., Marzahl, C., Denzinger, F., Bertram, C., Klopfleisch, R., Breininger, K.,… Maier, A. (2022). First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 223-228). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
  • Fu, W., Husvogt, L., Breininger, K., Schaffert, R., Abu-Qamar, O., Fujimoto, J.G., & Maier, A. (2022). Form Follows Function: Smart Network Design Enables Zero-shot Network Reuse. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 121-126). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
  • Weizel, A., Distler, T., Detsch, R., Boccaccini, A.R., Bräuer, L., Paulsen, F.,… Budday, S. (2022). Hyperelastic parameter identification of human articular cartilage and substitute materials. Journal of the Mechanical Behavior of Biomedical Materials, 133. https://dx.doi.org/10.1016/j.jmbbm.2022.105292
  • Sommer, P., Huang, Y., Fischer, S., Srinivasan, A.L., Dörfler, A., Schmidt, M.,… Putz, F. (2022). Identification of High-risk Metastases in MRI Follow-up after Stereotaxic by using Radiomics and Delta Radiomics. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S64-S64). HEIDELBERG: SPRINGER HEIDELBERG.
  • Dörfler, A., Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U.,… Putz, F. (2022). Improvement of Deep Learning-based Auto-detection of Brain Metastases by Integrating previous MRI Images. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S6-S6). HEIDELBERG: SPRINGER HEIDELBERG.
  • Schlereth, M., Stromer, D., Mantri, Y., Tsujimoto, J., Breininger, K., Maier, A.,… Jokerst, J.V. (2022). Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 261-266). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
  • Riquelme-Guzman, C., Beck, T., Edwards-Jorquera, S., Schluessler, R., Mueller, P., Guck, J.,… Möllmert, S. (2022). In vivo assessment of mechanical properties during axolotl development and regeneration using confocal Brillouin microscopy. Open Biology, 12(6). https://dx.doi.org/10.1098/rsob.220078
  • Glang, F., Fabian, M.S., German, A., Khakzar, K., Mennecke, A., Liebert, A.,… Laun, F.B. (2022). Linear projection-based CEST parameter estimation. NMR in Biomedicine. https://dx.doi.org/10.1002/nbm.4697
  • Firooz, S., Kaessmair, S., Zaburdaev, V., Javili, A., & Steinmann, P. (2022). On continuum modeling of cell aggregation phenomena. Journal of the Mechanics and Physics of Solids, 167. https://dx.doi.org/10.1016/j.jmps.2022.105004
  • Kuth, S., Karakaya, E., Reiter, N., Schmidt, L.-P., Paulsen, F., Tessmar, J.,… Boccaccini, A.R. (2022). Oxidized Hyaluronic Acid-Gelatin-Based Hydrogels for Tissue Engineering and Soft Tissue Mimicking. Tissue Engineering – Part C: Methods. https://dx.doi.org/10.1089/ten.tec.2022.0004
  • Janzen, D., Bakirci, E., Faber, J., Mier, M.A., Hauptstein, J., Pal, A.,… Villmann, C. (2022). Reinforced Hyaluronic Acid-Based Matrices Promote 3D Neuronal Network Formation. Advanced Healthcare Materials. https://dx.doi.org/10.1002/adhm.202201826
  • Öttl, M., Mönius, J., Marzahl, C., Rübner, M., Geppert, C., Hartmann, A.,… Breininger, K. (2022). Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 254-259). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
  • Popp, A., Taubmann, O., Thamm, F., Ditt, H., Maier, A., & Breininger, K. (2022). Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning. In Bildverarbeitung in der Medizin. Heidelberg.
  • Lin, H., Wang, Y., Zhou, J., Yang, Y., Xu, X., Ma, D.,… Yan, F. (2022). Tomoelastography based on multifrequency MR elastography predicts liver function reserve in patients with hepatocellular carcinoma: a prospective study. Insights into Imaging, 13(1). https://dx.doi.org/10.1186/s13244-022-01232-5
  • Eisenhut, F., Schlaffer, S.-M., Hock, S., Heynold, E., Kremenevski, N., Blümcke, I.,… Schmidt, M. (2022). Ultra-High-Field 7 T Magnetic Resonance Imaging Including Dynamic and Static Contrast-Enhanced T1-Weighted Imaging Improves Detection of Secreting Pituitary Microadenomas. Investigative Radiology, 57(9), 567-574. https://dx.doi.org/10.1097/RLI.0000000000000872
  • Abuhattum, S., Kuan, H.S., Müller, P., Guck, J., & Zaburdaev, V. (2022). Unbiased retrieval of frequency-dependent mechanical properties from noisy time-dependent signals. Biophysical Reports, 2(3). https://dx.doi.org/10.1016/j.bpr.2022.100054
  • Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U., Distel, L.,… Putz, F. (2022). Verbesserung der Deep Learning basierten Autodetektion von Hirnmetastasen durch Integration von MRT-Voraufnahmen. In Strahlentherapie und Onkologie (S. S6). Stuttgart, DE: Springer.