Joint publications

2022

  • 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.

2021

  • Fuentes Chandia, M.A., Vierling, A., Kappelmann-Fenzl, M., Monavari, M., Letort, G., Höne, L.,… Leal-Egaña, A. (2021). 3D Spheroids Versus 3D Tumor-Like Microcapsules: Confinement and Mechanical Stress May Lead to the Expression of Malignant Responses in Cancer Cells. Advanced Biology, 5(7), e2000349. https://dx.doi.org/10.1002/adbi.202000349
  • Denzinger, F., Wels, M., Breininger, K., Gülsün, M.A., Schöbinger, M., André, F.,… Maier, A. (2021). Abstract: Automatic CAD-RADS Scoring using Deep Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 104-). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.
  • Husvogt, L., Abu-Qamar, O., Levine, E., Schottenhamml, J., Ploner, S., Breininger, K.,… Maier, A. (2021, June). Applying nnU-Net to the segmentation of microaneurysms in OCTA data in patients with non-proliferative diabetic retinopathy. Poster presentation at ARVO Annual Meeting 2021, US.
  • Tsata, V., Schweitzer, C., Kolb, J., Moeckel, C., Boehm, B., Rosso, G.,… Möllmert, S. (2021). A switch in pdgfrb+ cell-derived ECM composition prevents inhibitory scarring and promotes axon regeneration in the zebrafish spinal cord. Developmental Cell, 56(4), 509-524.e9. https://dx.doi.org/10.1016/j.devcel.2020.12.009
  • Zarzor, M.S., Käßmair, S., Steinmann, P., Blümcke, I., & Budday, S. (2021). A two-field computational model couples cellular brain development with cortical folding. Brain Multiphysics, 2, 100025. https://dx.doi.org/10.1016/j.brain.2021.100025
  • Marzahl, C., Bertram, C.A., Wilm, F., Voigt, J., Barton, A.K., Klopfleisch, R.,… Aubreville, M. (2021). Cell Detection for Asthma on Partially Annotated Whole Slide Images: Learning to be EXACT. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 147-152). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
  • Falk, S., Han, D., & Karow, M. (2021). Cellular identity through the lens of direct lineage reprogramming. Current Opinion in Genetics & Development, 70, 97-103. https://dx.doi.org/10.1016/j.gde.2021.06.015
  • Bertram, C.A., Donovan, T.A., Tecilla, M., Bartenschlager, F., Fragoso, M., Wilm, F.,… Aubreville, M. (2021). Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 134-139). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
  • Zhu, L., Guo, J., Jin, Z., Xue, H., Dai, M., Zhang, W.,… Sack, I. (2021). Distinguishing pancreatic cancer and autoimmune pancreatitis with in vivo tomoelastography. European Radiology, 31(5), 3366-3374. https://dx.doi.org/10.1007/s00330-020-07420-5
  • Rampp, S., Rössler, K., Hamer, H., Illek, M., Buchfelder, M., Dörfler, A.,… Coras, R. (2021). Dysmorphic neurons as cellular source for phase-amplitude coupling in Focal Cortical Dysplasia Type II. Clinical Neurophysiology, 132(3), 782-792. https://dx.doi.org/10.1016/j.clinph.2021.01.004
  • Garczynska, K., Tzschaetzsch, H., Assili, S., Kuehl, A.A., Haeckel, A., Schellenberger, E.,… Guo, J. (2021). Effect of Post-mortem Interval and Perfusion on the Biophysical Properties of ex vivo Liver Tissue Investigated Longitudinally by MRE and DWI. Frontiers in Physiology, 12. https://dx.doi.org/10.3389/fphys.2021.696304
  • Marzahl, C., Aubreville, M., Bertram, C.A., Maier, J., Bergler, C., Kröger, C.,… Maier, A. (2021). EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control. Scientific Reports, 11(1). https://dx.doi.org/10.1038/s41598-021-83827-4
  • Jablonski, J., Hoffmann, L., Blümcke, I., Fejtová, A., Uebe, S., Ekici, A.B.,… Kobow, K. (2021). Experimental epileptogenesis in a cell culture model of primary neurons from rat brain: A temporal multi‐scale study. Cells, 10(11). https://dx.doi.org/10.3390/cells10113004
  • Zarzor, M.S., Käßmair, S., Steinmann, P., Blümcke, I., & Budday, S. (2021). Exploring the interplay between cellular development and mechanics in the developing human brain. Proceedings in Applied Mathematics and Mechanics, 21. https://dx.doi.org/10.1002/pamm.202100104
  • Herrler, J., Liebig, P., Gumbrecht, R., Ritter, D., Schmitter, S., Maier, A.,… Nagel, A.M. (2021). Fast online-customized (FOCUS) parallel transmission pulses: A combination of universal pulses and individual optimization. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.28643
  • Bonduelle, T., Hartlieb, T., Baldassari, S., Sim, N.S., Kim, S.H., Kang, H.C.,… Baulac, S. (2021). Frequent SLC35A2 brain mosaicism in mild malformation of cortical development with oligodendroglial hyperplasia in epilepsy (MOGHE). Acta Neuropathologica Communications, 9(1). https://dx.doi.org/10.1186/s40478-020-01085-3
  • Brandner, S., Schröter, S., Çalışkan, G., Salar, S., Kobow, K., Coras, R.,… Maslarova, A. (2021). Glucocorticoid modulation of synaptic plasticity in the human temporal cortex of epilepsy patients: Does chronic stress contribute to memory impairment? Epilepsia. https://dx.doi.org/10.1111/epi.17107
  • Hudert, C.A., Tzschaetzsch, H., Rudolph, B., Loddenkemper, C., Holzhuetter, H.-G., Kalveram, L.,… Guo, J. (2021). How histopathologic changes in pediatric nonalcoholic fatty liver disease influence in vivo liver stiffness. Acta Biomaterialia, 123, 178-186. https://dx.doi.org/10.1016/j.actbio.2021.01.019
  • Wilm, F., Bertram, C.A., Marzahl, C., Bartel, A., Donovan, T.A., Assenmacher, C.A.,… Aubreville, M. (2021). Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 241-246). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
  • Reiter, N., Roy, B., Paulsen, F., & Budday, S. (2021). Insights into the Microstructural Origin of Brain Viscoelasticity. Journal of Elasticity, 145, 99-116. https://dx.doi.org/10.1007/s10659-021-09814-y
  • Theelke, L., Wilm, F., Marzahl, C., Bertram, C.A., Klopfleisch, R., Maier, A.,… Breininger, K. (2021). Iterative Cross-Scanner Registration for Whole Slide Images. In 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021) (pp. 582-590). LOS ALAMITOS: IEEE COMPUTER SOC.
  • Fu, W., Breininger, K., Schaffert, R., Pan, Z., & Maier, A. (2021). “Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-021-02340-1
  • Rosso, G., Wehner, D., Schweitzer, C., Sock, E., Guck, J., Shahin, V., & Möllmert, S. (2021). Matrix stiffness mechanosensing modulates the expression and distribution of transcription factors in Schwann cells. Bioengineering & Translational Medicine. https://dx.doi.org/10.1002/btm2.10257
  • Distler, T., Kretzschmar, L., Schneidereit, D., Girardo, S., Goswami, R., Friedrich, O.,… Budday, S. (2021). Mechanical properties of cell- and microgel bead-laden oxidized alginate-gelatin hydrogels. Biomaterials Science. https://dx.doi.org/10.1039/D0BM02117B
  • Kappelmann-Fenzl, M., Schmidt, S., Fischer, S., Schmid, R., Lämmerhirt, L., Fischer, L.,… Boßerhoff, A.K. (2021). Molecular changes induced in melanoma by cell culturing in 3D alginate hydrogels. Cancers, 13(16). https://dx.doi.org/10.3390/cancers13164111
  • Kappelmann-Fenzl, M., Schmidt, S., Fischer, S., Schmid, R., Lämmerhirt, L., Fischer, L.,… Boßerhoff, A.K. (2021). Molecular Changes Induced in Melanoma by Cell Culturing in 3D Alginate Hydrogels. Cancers, 72-72. https://dx.doi.org/10.3390/cancers13164111
  • Kappelmann-Fenzl, M., Schmidt, S., Fischer, S., Schmid, R., Lämmerhirt, L., Fischer, L.,… Boßerhoff, A.K. (2021). Molecular Changes Induced in Melanoma by Cell Culturing in 3D Alginate Hydrogels. Cancers, 13(16). https://dx.doi.org/10.3390/cancers13164111
  • Breininger, K., Pfister, M., Kowarschik, M., & Maier, A. (2021). Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 35-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
  • Holthausen, H., Coras, R., Tang, Y., Bai, L., Wang, I., Pieper, T.,… Blümcke, I. (2021). Multilobar unilateral hypoplasia with emphasis on the posterior quadrant and severe epilepsy in children with FCD ILAE Type 1A. Epilepsia. https://dx.doi.org/10.1111/epi.17114
  • Blümcke, I., Budday, S., Poduri, A., Lal, D., Kobow, K., & Baulac, S. (2021). Neocortical development and epilepsy: insights from focal cortical dysplasia and brain tumours. Lancet Neurology, 20(11), 943-955. https://dx.doi.org/10.1016/S1474-4422(21)00265-9
  • Greiner, A., Reiter, N., Paulsen, F., Holzapfel, G.A., Steinmann, P., Comellas Sanfeliu, E., & Budday, S. (2021). Poro-Viscoelastic Effects During Biomechanical Testing of Human Brain Tissue. Frontiers in Mechanical Engineering, 7. https://dx.doi.org/10.3389/fmech.2021.708350
  • Jacobi, A., De Schellenberger, A.A., Uca, Y.O., Herbig, M., Guck, J., & Sack, I. (2021). Real-Time Deformability Cytometry Detects Leukocyte Stiffening After Gadolinium-Based Contrast Agent Exposure. Investigative Radiology, 56(12), 837-844. https://dx.doi.org/10.1097/RLI.0000000000000794
  • Hu, J., Guo, J., Pei, Y., Hu, P., Li, M., Sack, I., & Li, W. (2021). Rectal Tumor Stiffness Quantified by In Vivo Tomoelastography and Collagen Content Estimated by Histopathology Predict Tumor Aggressiveness. Frontiers in Oncology, 11. https://dx.doi.org/10.3389/fonc.2021.701336
  • Lilaj, L., Fischer, T., Guo, J., Braun, J., Sack, I., & Hirsch, S. (2021). Separation of fluid and solid shear wave fields and quantification of coupling density by magnetic resonance poroelastography. Magnetic Resonance in Medicine, 85(3), 1655-1668. https://dx.doi.org/10.1002/mrm.28507
  • Lippold, D., Kergaßner, A., Burkhardt, C., Kergaßner, M., Loos, J., Nistler, S.,… Budday, S. (2021). Spatiotemporal modeling of first and second wave outbreak dynamics of COVID‐19 in Germany. Biomechanics and Modeling in Mechanobiology. https://dx.doi.org/10.1007/s10237-021-01520-x
  • Pivovarov, D., Mergheim, J., Willner, K., & Steinmann, P. (2021). Stochastic local FEM for computational homogenization of heterogeneous materials exhibiting large plastic deformations. Computational Mechanics. https://dx.doi.org/10.1007/s00466-021-02099-x
  • Hazur, J., Endrizzi, N., Schubert, D.W., Boccaccini, A.R., & Fabry, B. (2021). Stress relaxation amplitude of hydrogels determines migration, proliferation, and morphology of cells in 3-D culture. Biomaterials Science. https://dx.doi.org/10.1039/d1bm01089a
  • Anchang, C.G., Xu, C., Raimondo, M.G., Atreya, R., Maier, A., Schett, G.,… Ramming, A. (2021). The potential of omics technologies for the treatment of immune‐mediated inflammatory diseases. International Journal of Molecular Sciences, 22(14). https://dx.doi.org/10.3390/ijms22147506
  • Li, M., Guo, J., Hu, P., Jiang, H., Chen, J., Hu, J.,… Li, W. (2021). Tomoelastography based on multifrequency MR elastography for prostate cancer detection: Comparison with multiparametric MRI. Radiology, 299(2), 362-370. https://dx.doi.org/10.1148/RADIOL.2021201852
  • Marticorena Garcia, S.R., Althoff, C.E., Duerr, M., Halleck, F., Budde, K., Grittner, U.,… Guo, J. (2021). Tomoelastography for longitudinal monitoring of viscoelasticity changes in the liver and in renal allografts after direct-acting antiviral treatment in 15 kidney transplant recipients with chronic hcv infection. Journal of Clinical Medicine, 10(3), 1-15. https://dx.doi.org/10.3390/jcm10030510
  • Linka, K., Reiter, N., Würges, J., Schicht, M., Bräuer, L., Cyron, C.J.,… Budday, S. (2021). Unraveling the Local Relation Between Tissue Composition and Human Brain Mechanics Through Machine Learning. Frontiers in Bioengineering and Biotechnology, 9. https://dx.doi.org/10.3389/fbioe.2021.704738
  • Menzler, K., Hamer, H., Mross, P., Rosenow, F., Deichmann, R., Wagner, M.,… Knake, S. (2021). Validation of automatic MRI hippocampal subfield segmentation by histopathological evaluation in patients with temporal lobe epilepsy. Seizure-European Journal of Epilepsy, 87, 94-102. https://dx.doi.org/10.1016/j.seizure.2021.03.007

2020

  • Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M.,… Maier, A. (2020). Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Paper presentation at BVM Workshop 2020, Berlin, DE.
  • Eberle, D., Fodelianaki, G., Kurth, T., Jagielska, A., Möllmert, S., Ulbricht, E.,… Guck, J. (2020). Acquired demyelination but not genetic developmental defects in myelination leads to brain tissue stiffness changes. Brain Multiphysics, 1. https://dx.doi.org/10.1016/j.brain.2020.100019
  • Distler, T., Schaller, E., Steinmann, P., Boccaccini, A.R., & Budday, S. (2020). Alginate-based hydrogels show the same complex mechanical behavior as brain tissue. Journal of the Mechanical Behavior of Biomedical Materials, 111. https://dx.doi.org/10.1016/j.jmbbm.2020.103979
  • Bootwala, A., Breininger, K., Maier, A., & Christlein, V. (2020). Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. In Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 144-149). Wiesbaden: Springer Vieweg.
  • Denzinger, F., Wels, M., Breininger, K., Gülsün, M.A., Schöbinger, M., Andre, F.,… Maier, A. (2020). Automatic CAD-RADS Scoring using Deep Learning. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lima, Peru: Cham: Springer.
  • Bertalan, G., Klein, C., Schreyer, S., Steiner, B., Kreft, B., Tzschaetzsch, H.,… Guo, J. (2020). Biomechanical properties of the hypoxic and dying brain quantified by magnetic resonance elastography. Acta Biomaterialia, 101, 395-402. https://dx.doi.org/10.1016/j.actbio.2019.11.011
  • Garczynska, K., Tzschaetzsch, H., Kuehl, A.A., Morr, A.S., Lilaj, L., Haeckel, A.,… Guo, J. (2020). Changes in Liver Mechanical Properties and Water Diffusivity During Normal Pregnancy Are Driven by Cellular Hypertrophy. Frontiers in Physiology, 11. https://dx.doi.org/10.3389/fphys.2020.605205
  • Schmid, R., Schmidt, S., Hazur, J., Detsch, R., Maurer, E., Boccaccini, A.R.,… Kengelbach-Weigand, A. (2020). Comparison of hydrogels for the development of well-defined 3d cancer models of breast cancer and melanoma. Cancers, 12(8), 1-21. https://dx.doi.org/10.3390/cancers12082320
  • Weizel, A., Distler, T., Schneidereit, D., Friedrich, O., Bräuer, L., Paulsen, F.,… Seitz, H. (2020). Complex mechanical behavior of human articular cartilage and hydrogels for cartilage repair. Acta Biomaterialia. https://dx.doi.org/10.1016/j.actbio.2020.10.025
  • Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M.,… Maier, A. (2020). Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. In Proceedings of the BVM Workshop 2020. Berlin, DE.
  • Fu, W., Breininger, K., Pan, Z., & Maier, A. (2020). Degenerating u-net on retinal vessel segmentation: What do we really need? In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 33-38). Berlin, DE: Springer.
  • Musayeva, A., Gericke, A., Jäger, F., Paulsen, F., Braun, M., Fabry, B.,… Zierhut, M. (2020). Ergebnisse der Sicca-Forschungsförderung 2016. Ophthalmologe. https://dx.doi.org/10.1007/s00347-020-01163-w
  • Budday, S., Ovaert, T., Holzapfel, G.A., Steinmann, P., & Kuhl, E. (2020). Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue. Archives of Computational Methods in Engineering, 27, 1187–1230. https://dx.doi.org/10.1007/s11831-019-09352-w
  • Taylor, R.W., Holler, C., Mahmoodabadi, R.G., Küppers, M., Mirzaalian Dastjerdi, H., Zaburdaev, V.,… Sandoghdar, V. (2020). High-Precision Protein-Tracking With Interferometric Scattering Microscopy. Frontiers in Cell and Developmental Biology, 8. https://dx.doi.org/10.3389/fcell.2020.590158
  • Peixoto-Santos, J.E., Velasco, T.R., Carlotti, C.G., Assirati, J.A., Rezende, G.H.d.S.e., Kobow, K.,… Leite, J.P. (2020). Histological correlates of hippocampal magnetization transfer images in drug-resistant temporal lobe epilepsy patients. NeuroImage: Clinical, 28. https://dx.doi.org/10.1016/j.nicl.2020.102463
  • Asbach, P., Ro, S.-R., Aldoj, N., Snellings, J., Reiter, R., Lenk, J.,… Sack, I. (2020). In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer. Investigative Radiology, 55(8), 524-530. https://dx.doi.org/10.1097/RLI.0000000000000685
  • Syben, C., Stimpel, B., Roser, P., Dörfler, A., & Maier, A. (2020). Known Operator Learning enables Constrained Projection Geometry Conversion: Parallel to Cone-beam for Hybrid MR/X-ray Imaging. IEEE Transactions on Medical Imaging, 1-1. https://dx.doi.org/10.1109/TMI.2020.2998179
  • Marticorena Garcia, S.R., Sack, I., & Guo, J. (2020). Liver magnetic resonance elastography: Clinical use and interpretation. Springer International Publishing.
  • Luhr, J.J., Alex, N., Amon, L., Krater, M., Kubankova, M., Sezgin, E.,… Guck, J. (2020). Maturation of Monocyte-Derived DCs Leads to Increased Cellular Stiffness, Higher Membrane Fluidity, and Changed Lipid Composition. Frontiers in Immunology, 11. https://dx.doi.org/10.3389/fimmu.2020.590121
  • Kergaßner, A., Burkhardt, C., Lippold, D., Kergaßner, M., Pflug, L., Budday, D.,… Budday, S. (2020). Memory-based meso-scale modeling of Covid-19. Computational Mechanics. https://dx.doi.org/10.1007/s00466-020-01883-5
  • Comellas Sanfeliu, E., Budday, S., Pelteret, J.-P., Holzapfel, G.A., & Steinmann, P. (2020). Modeling the porous and viscous responses of human brain tissue behavior. Computer Methods in Applied Mechanics and Engineering, 369. https://dx.doi.org/10.1016/j.cma.2020.113128
  • Dietrich, P., Wormser, L., Fritz, V., Seitz, T., de Maria, M., Schambony, A.,… Hellerbrand, C. (2020). Molecular cross-talk between Y5-receptor and neuropeptide Y drives liver cancer. Journal of Clinical Investigation, 130(5), 2509-2526. https://dx.doi.org/10.1172/JCI131919
  • Kobow, K., Jabari, S., Pieper, T., Kudernatsch, M., Polster, T., Woermann, F.G.,… Von Deimling, A. (2020). Mosaic trisomy of chromosome 1q in human brain tissue associates with unilateral polymicrogyria, very early-onset focal epilepsy, and severe developmental delay. Acta Neuropathologica. https://dx.doi.org/10.1007/s00401-020-02228-5
  • Breininger, K., Pfister, M., Kowarschik, M., & Maier, A. (2020). Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 713-723). Lima, PE: Springer Science and Business Media Deutschland GmbH.
  • Wang, S., Millward, J.M., Hanke-Vela, L., Malla, B., Pilch, K., Gil-Infante, A.,… Infante-Duarte, C. (2020). MR Elastography-Based Assessment of Matrix Remodeling at Lesion Sites Associated With Clinical Severity in a Model of Multiple Sclerosis. Frontiers in Neurology, 10. https://dx.doi.org/10.3389/fneur.2019.01382
  • Söhngen, B., Caspari, M., Willner, K., & Steinmann, P. (2020). On Optimization Strategies for Inverse Problems in Metalforming. In Marion Merklein, A. Erman Tekkaya, Bernd-Arno Behrens (Eds.), Sheet Bulk Metal Forming – Research Results of the TCRC73. (pp. 354-377). Zug: Springer Nature Switzerland.
  • Witulla, B., Goerig, N., Putz, F., Frey, B., Engelhorn, T., Dörfler, A.,… Laun, F.B. (2020). On PTV definition for glioblastoma based on fiber tracking of diffusion tensor imaging data. PLoS ONE, 15(1), e0227146-. https://dx.doi.org/10.1371/journal.pone.0227146
  • Schrank, F., Warmuth, C., Goerner, S., Meyer, T., Tzschaetzsch, H., Guo, J.,… Sack, I. (2020). Real-time MR elastography for viscoelasticity quantification in skeletal muscle during dynamic exercises. Magnetic Resonance in Medicine, 84(1), 103-114. https://dx.doi.org/10.1002/mrm.28095
  • Kubach, J., Muhlebner-Fahrngruber, A., Soylemezoglu, F., Miyata, H., Niehusmann, P., Honavar, M.,… Jabari, S. (2020). Same same but different: A Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations. Epilepsia. https://dx.doi.org/10.1111/epi.16447
  • Marticorena Garcia, S.R., Zhu, L., Gueltekin, E., Schmuck, R., Burkhardt, C., Bahra, M.,… Guo, J. (2020). Tomoelastography for Measurement of Tumor Volume Related to Tissue Stiffness in Pancreatic Ductal Adenocarcinomas. Investigative Radiology, 55(12), 769-774. https://dx.doi.org/10.1097/RLI.0000000000000704
  • Budday, S., Sarem, M., Starck, L., Sommer, G., Pfefferle, J., Phunchago, N.,… Holzapfel, G.A. (2020). Towards microstructure-informed material models for human brain tissue. Acta Biomaterialia, 104, 53-65. https://dx.doi.org/10.1016/j.actbio.2019.12.030
  • Kharlamova, M.A., Hoche, T., Taubenberger, A., Abuhattum, S., Kuscha, V., Kurth, T.,… Möllmert, S. (2020). Zebrafish Spinal Cord Repair Is Accompanied by Transient Tissue Stiffening. Biophysical Journal, 118(2), 448-463. https://dx.doi.org/10.1016/j.bpj.2019.10.044

2019

  • Breininger, K., Hanika, M., Weule, M., Kowarschik, M., Pfister, M., & Maier, A. (2019). 3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 172-177). Lübeck, DE: Springer Berlin Heidelberg.
  • Pivovarov, D., Steinmann, P., & Willner, K. (2019). Acceleration of the spectral stochastic FEM using POD and element based discrete empirical approximation for a micromechanical model of heterogeneous materials with random geometry. Computer Methods in Applied Mechanics and Engineering. https://dx.doi.org/10.1016/j.cma.2019.112689
  • Ying, Z., Wang, I., Blümcke, I., Bulacio, J., Alexopoulos, A., Jehi, L.,… Najm, I. (2019). A comprehensive clinico-pathological and genetic evaluation of bottom-of-sulcus focal cortical dysplasia in patients with difficult-to-localize focal epilepsy. Epileptic Disorders, 21(1), 65-77. https://dx.doi.org/10.1684/epd.2019.1028
  • Fu, W., Breininger, K., Schaffert, R., Ravikumar, N., & Maier, A. (2019). A Divide-and-Conquer Approach towards Understanding Deep Networks. In Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (Eds.), Medical Image Computing and Computer Assisted Intervention (MICCAI 2019) (pp. 183-192). Shenzhen, China, CN: Shenzhen: Springer, Cham.
  • Niestroj, L.M., May, P., Artomov, M., Kobow, K., Coras, R., Pérez-Palma, E.,… Lal, D. (2019). Assessment of genetic variant burden in epilepsy-associated brain lesions. European Journal of Human Genetics. https://dx.doi.org/10.1038/s41431-019-0484-4
  • Guo, J., Bertalan, G., Meierhofer, D., Klein, C., Schreyer, S., Steiner, B.,… Sack, I. (2019). Brain maturation is associated with increasing tissue stiffness and decreasing tissue fluidity. Acta Biomaterialia, 99, 433-442. https://dx.doi.org/10.1016/j.actbio.2019.08.036
  • Budday, S., Holzapfel, G.A., Steinmann, P., & Kuhl, E. (2019). Challenges and perspectives in brain tissue testing and modeling. Proceedings in Applied Mathematics and Mechanics, accepted.
  • Pivovarov, D., Willner, K., Steinmann, P., Brumme, S., Müller, M., Srisupattarawanit, T.,… Leyendecker, S. (2019). Challenges of order reduction techniques for problems involving polymorphic uncertainty. GAMM-Mitteilungen. https://dx.doi.org/10.1002/gamm.201900011
  • Martin, J., Endt, S., Wetscherek, A., Kuder, T.A., Dörfler, A., Uder, M.,… Laun, F.B. (2019). Contrast-to-noise ratio analysis of microscopic diffusion anisotropy indices in q-space trajectory imaging. Zeitschrift für Medizinische Physik. https://dx.doi.org/10.1016/j.zemedi.2019.01.003
  • Denzinger, F., Wels, M., Ravikumar, N., Breininger, K., Reidelshöfer, A., Eckert, J.,… Maier, A. (2019). Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. In Shen, D., Liu, T., Peters, T.M., Staib, L.H., Essert, C., Zhou, S., Yap, P.-T., Khan, A. (Hrg.), MICCAI 2019: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 (S. 593-601). Shenzhen, CN: Springer, Cham.
  • Geimer, T., Keall, P., Breininger, K., Caillet, V., Dunbar, M., Bert, C., & Maier, A. (2019). Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. In Thomas Brox, Mario Fritz, Andrés Bruhn (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 583-594). Stuttgart, DEU: Springer Verlag.
  • Syben, C., Stimpel, B., Lommen, J., Würfl, T., Dörfler, A., & Maier, A. (2019). Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. In Proceedings of the 40th German Conference on Pattern Recognition, GCPR 2018 (pp. 503-517). Stuttgart, DE: Springer Verlag.
  • Syben, C., Stimpel, B., Lommen, J., Würfl, T., Dörfler, A., & Maier, A. (2019). Fan-to-Parallel Beam Conversion: Deriving Neural Network Architectures Using Precision Learning. Paper presentation at Workshop on Bildverarbeitung fur die Medizin, 2019, Lübeck, DE.
  • Bertalan, G., Guo, J., Tzschaetzsch, H., Klein, C., Barnhill, E., Sack, I., & Braun, J. (2019). Fast tomoelastography of the mouse brain by multifrequency single-shot MR elastography. Magnetic Resonance in Medicine, 81(4), 2676-2687. https://dx.doi.org/10.1002/mrm.27586
  • Pivovarov, D., Hahn, V., Steinmann, P., Willner, K., & Leyendecker, S. (2019). Fuzzy dynamics of multibody systems with polymorphic uncertainty in the material microstructure. Computational Mechanics, 64, 1601-1619. https://dx.doi.org/10.1007/s00466-019-01737-9
  • Kobow, K., Ziemann, M., Kaipananickal, H., Khurana, I., Mühlebner, A., Feucht, M.,… Kaspi, A. (2019). Genomic DNA methylation distinguishes subtypes of human focal cortical dysplasia. Epilepsia, 60(6), 1091-1103. https://dx.doi.org/10.1111/epi.14934
  • Kurzendorfer, T., Breininger, K., Steidl, S., Maier, A., & Fahrig, R. (2019). Left ventricle segmentation in LGE-MRI using multiclass learning. In Bennett A. Landman, Elsa D. Angelini, Elsa D. Angelini, Elsa D. Angelini (Eds.), Progress in Biomedical Optics and Imaging – Proceedings of SPIE. San Diego, CA, US: SPIE.
  • Rampp, S., Stefan, H., Wu, X., Kaltenhäuser, M., Maess, B., Schmitt, F.C.,… Buchfelder, M. (2019). Magnetoencephalography for epileptic focus localization in a series of 1000 cases. Brain, 142(10), 3059-3071. https://dx.doi.org/10.1093/brain/awz231
  • Rampp, S., Stefan, H., Wu, X., Kaltenhäuser, M., Maess, B., Schmitt, F.C.,… Dörfler, A. (2019). Magnetoencephalography for epileptic focus localization in a series of 1000 cases. Brain, 142(10), 3059-3071. https://dx.doi.org/10.1093/braiwz231
  • Saake, M., Schmidle, A., Kopp, M., Hanspach, J., Hepp, T., Nagel, A.M.,… Laun, F.B. (2019). MRI Brain Signal Intensity and Relaxation Times in Individuals with Prior Exposure to Gadobutrol. Radiology, 290(3), 659-668. https://dx.doi.org/10.1148/radiol.2018181927
  • Stimpel, B., Syben, C., Schirrmacher, F., Hölter, P., Dörfler, A., & Maier, A. (2019). Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing Supplementary Material. IEEE Transactions on Medical Imaging. https://dx.doi.org/10.1109/TMI.2019.2955184
  • Stimpel, B., Syben, C., Schirrmacher, F., Dörfler, A., Maier, A., & Hölter, P. (2019). Multi-Modal Super-Resolution with Deep Guided Filtering. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 110-115). Lübeck, DE: Springer Berlin Heidelberg.
  • Lang, S.T., Guo, J., Bruns, A., Duerr, M., Braun, J., Hamm, B.,… Garcia, S.R.M. (2019). Multiparametric Quantitative MRI for the Detection of IgA Nephropathy Using Tomoelastography, DWI, and BOLD Imaging. Investigative Radiology, 54(10), 669-674. https://dx.doi.org/10.1097/RLI.0000000000000585
  • Liebert, A., Gumbrecht, R., Tkotz, K., Linz, P., Schmitt, B., Dörfler, A.,… Laun, F.B. (2019). Multiple interleaved mode saturation (MIMOSA) for B1+ inhomogeneity mitigation in chemical exchange saturation transfer. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.27762
  • Mueller, P., Abuhattum, S., Ulbricht, E., Taubenberger, A.V., Guck, J., & Möllmert, S. (2019). Nanite: Using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data. BMC Bioinformatics, 20(1). https://dx.doi.org/10.1186/s12859-019-3010-3
  • Pivovarov, D., Zabihyan, R., Mergheim, J., Willner, K., & Steinmann, P. (2019). On periodic boundary conditions and ergodicity in computational homogenization of heterogeneous materials with random microstructure. Computer Methods in Applied Mechanics and Engineering, 357. https://dx.doi.org/10.1016/j.cma.2019.07.032
  • Pivovarov, D., Willner, K., & Steinmann, P. (2019). On spectral fuzzy–stochastic FEM for problems involving polymorphic geometrical uncertainties. Computer Methods in Applied Mechanics and Engineering, 350, 432-461. https://dx.doi.org/10.1016/j.cma.2019.02.024
  • Stimpel, B., Syben, C., Würfl, T., Breininger, K., Lommen, J., Dörfler, A., & Maier, A. (2019). Projection image-to-image translation in hybrid x-ray/MR imaging. In Bennett A. Landman, Elsa D. Angelini, Elsa D. Angelini, Elsa D. Angelini (Eds.), Progress in Biomedical Optics and Imaging – Proceedings of SPIE. San Diego, CA, US: SPIE.
  • Stimpel, B., Syben, C., Würfl, T., Breininger, K., Hölter, P., Dörfler, A., & Maier, A. (2019). Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. Scientific Reports, 9. https://dx.doi.org/10.1038/s41598-019-55108-8
  • Breininger, K., Hanika, M., Weule, M., Kowarschik, M., Pfister, M., & Maier, A. (2019). Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-019-02052-7
  • Bertalan, G., Boehm-Sturm, P., Schreyer, S., Morr, A.-S., Steiner, B., Tzschaetzsch, H.,… Sack, I. (2019). The influence of body temperature on tissue stiffness, blood perfusion, and water diffusion in the mouse brain. Acta Biomaterialia, 96, 412-420. https://dx.doi.org/10.1016/j.actbio.2019.06.034
  • Shahryari, M., Tzschaetzsch, H., Garcia, S.R.M., Boening, G., Fehrenbach, U., Stencel, L.,… Guo, J. (2019). Tomoelastography distinguishes noninvasively between benign and malignant liver lesions. Cancer Research, 79(22), 5704-5710. https://dx.doi.org/10.1158/0008-5472.CAN-19-2150
  • Hudert, C.A., Tzschaetzsch, H., Rudolph, B., Blaekey, H., Loddenkemper, C., Mueller, H.-P.,… Guo, J. (2019). Tomoelastography for the Evaluation of Pediatric Nonalcoholic Fatty Liver Disease. Investigative Radiology, 54(4), 198-203. https://dx.doi.org/10.1097/RLI.0000000000000529
  • Garcia, S.R.M., Grossmann, M., Bruns, A., Duerr, M., Tzschaetzsch, H., Hamm, B.,… Guo, J. (2019). Tomoelastography paired with T2∗ magnetic resonance imaging detects lupus nephritis with normal renal function. Investigative Radiology, 54(2), 89-97. https://dx.doi.org/10.1097/RLI.0000000000000511
  • Martin, J., Endt, S., Wetscherek, A., Kuder, T.A., Dörfler, A., Uder, M.,… Laun, F.B. (2019). Twice-refocused stimulated echo diffusion imaging: Measuring diffusion time dependence at constant T-1 weighting. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.28046
  • Grossmann, M., Tzschaetzsch, H., Lang, S.T., Guo, J., Bruns, A., Duerr, M.,… Garcia, S.R.M. (2019). US time-harmonic elastography for the early detection of glomerulonephritis. Radiology, 292(3), 676-684. https://dx.doi.org/10.1148/radiol.2019182574
  • Arbogast, N., Kurzendorfer, T., Breininger, K., Mountney, P., Toth, D., Narayan, S.A., & Maier, A. (2019). Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks. In Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 191-196). Lübeck, DE: Springer Berlin Heidelberg.

2018

  • Noetzel, M., Rosso, G., Möllmert, S., Seifert, A., Schluessler, R., Kim, K.,… Guck, J. (2018). Axonal transport, phase-separated compartments, and neuron mechanics – A new approach to investigate neurodegenerative diseases. Frontiers in Cellular Neuroscience, 12. https://dx.doi.org/10.3389/fncel.2018.00358
  • Schluessler, R., Abuhattum, S., Cojoc, G., Beck, T., Reichel, F., Kim, K.,… Guck, J. (2018). Biophysical Techniques for the Study of Phase Transitions in Protein Droplets and Cells. Biophysical Journal, 114(3), 204A-204A.
  • Czarske, J.W., Schlu¨ßler, R., Möllmert, S., & Guck, J. (2018). Brillouin elastography for non-contact mechanical mapping of spinal cord repair. In Optics InfoBase Conference Papers. Hollywood, FL, USA: OSA – The Optical Society.
  • Klein, P., Dingledine, R., Aronica, E., Bernard, C., Blümcke, I., Boison, D.,… Loescher, W. (2018). Commonalities in epileptogenic processes from different acute brain insults: Do they translate? Epilepsia, 59(1), 37-66. https://dx.doi.org/10.1111/epi.13965
  • Garcia, S.R.M., Guo, J., Duerr, M., Denecke, T., Hamm, B., Sack, I., & Fischer, T. (2018). Comparison of ultrasound shear wave elastography with magnetic resonance elastography and renal microvascular flow in the assessment of chronic renal allograft dysfunction. Acta Radiologica, 59(9), 1139-1145. https://dx.doi.org/10.1177/0284185117748488
  • Kasper, B., Roessler, K., Hamer, H., Dörfler, A., Blümcke, I., Coras, R.,… Rampp, S. (2018). Coregistrating magnetic source and magnetic resonance imaging for epilepsy surgery in focal cortical dysplasia. NeuroImage: Clinical, 19, 487-496. https://dx.doi.org/10.1016/j.nicl.2018.04.034
  • Würfl, T., Hoffmann, M., Christlein, V., Breininger, K., Huang, Y., Unberath, M., & Maier, A. (2018). Deep Learning Computed Tomography: Learning Projection-Domain Weights from Image Domain in Limited Angle Problems. IEEE Transactions on Medical Imaging, 37(6), 1454-1463. https://dx.doi.org/10.1109/TMI.2018.2833499
  • Breininger, K., Christlein, V., Würfl, T., & Maier, A. (2018). Deep learning fundamentals. In Heinz Handels, Thomas Tolxdorff, Thomas M. Deserno, Klaus H. Maier-Hein, Andreas Maier, Christoph Palm (Eds.), Informatik aktuell (pp. 5-). Erlangen, DE: Springer Berlin Heidelberg.
  • Rottensteiner-Brandl, U., Detsch, R., Sarker, B., Lingens, L., Köhn, K., Kneser, U.,… Arkudas, A. (2018). Encapsulation of Rat Bone Marrow Derived Mesenchymal Stem Cells in Alginate Dialdehyde/Gelatin Microbeads with and without Nanoscaled Bioactive Glass for In Vivo Bone Tissue Engineering. Materials, 11(10). https://dx.doi.org/10.3390/ma11101880
  • Kobow, K., & Blümcke, I. (2018). Epigenetics in epilepsy. Neuroscience Letters, 667, 40-46. https://dx.doi.org/10.1016/j.neulet.2017.01.012
  • Fu, W., Breininger, K., Schaffert, R., Ravikumar, N., Würfl, T., Fujimoto, J.G.,… Maier, A. (2018). Frangi-Net: A Neural Network Approach to Vessel Segmentation. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), BildVerarbeitung für die Medizin (BVM) 2018 (pp. 341-346). Erlangen, DE: Berlin, Heidelberg: Springer Vieweg, Berlin, Heidelberg.
  • Garcia, S.R.M., Grossmann, M., Lang, S.T., Manh Nguyen Trong, ., Schultz, M., Hamm, B.,… Guo, J. (2018). Full-Field-of-View Time-Harmonic Elastography of the Native Kidney. Ultrasound in Medicine and Biology, 44(5), 949-954. https://dx.doi.org/10.1016/j.ultrasmedbio.2018.01.007
  • Pivovarov, D., Oberleiter, T., Willner, K., & Steinmann, P. (2018). Fuzzy-Stochastic FEM-based homogenization framework for materials with polymorphic uncertainties in the microstructure. International Journal for Numerical Methods in Engineering. https://dx.doi.org/10.1002/nme.5947
  • Abuhattum, S., Kim, K., Franzmann, T.M., Esslinger, A., Midtvedt, D., Schluessler, R.,… Möllmert, S. (2018). Intracellular Mass Density Increase Is Accompanying but Not Sufficient for Stiffening and Growth Arrest of Yeast Cells. Frontiers in Bioscience, 6. https://dx.doi.org/10.3389/fphy.2018.00131
  • Breininger, K., Albarqouni, S., Kurzendorfer, T., Pfister, M., Kowarschik, M., & Maier, A. (2018). Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. International Journal of Computer Assisted Radiology and Surgery, 13(8), 1221-1231. https://dx.doi.org/10.1007/s11548-018-1779-6
  • Breininger, K., Albarqouni, S., Kurzendorfer, T., Pfister, M., Kowarschik, M., & Maier, A. (2018). Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. In CARS 2018—Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition Berlin, Germany, June 20–23, 2018 (pp. S200-201). Berlin: Springer Verlag.
  • Sindel, A., Breininger, K., Käßer, J., Heß, A., Maier, A., & Köhler, T. (2018). Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests. In Proceedings of the 25th IEEE International Conference on Image Processing, ICIP 2018 (pp. 1453-1457). IEEE Computer Society.
  • Kurzendorfer, T., Breininger, K., Steidl, S., Brost, A., Forman, C., & Maier, A. (2018). Left Ventricle Segmentation in LGE-MRI: Filter Based vs. Learning Based. In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 – Proceedings. Sydney, NSW, AU: Institute of Electrical and Electronics Engineers Inc..
  • Schluessler, R., Abuhattum, S., Cojoc, G., Mueller, P., Kim, K., Moeckel, C.,… Möllmert, S. (2018). Mechanical Mapping of Spinal Cord Growth and Repair in Living Zebrafish Larvae by Brillouin Imaging. Biophysical Journal, 115(5), 911-923. https://dx.doi.org/10.1016/j.bpj.2018.07.027
  • Munder, T., Pfeffer, A., Schreyer, S., Braun, J., Steiner, B., Klein, C.,… Guo, J. (2018). MR elastography detection of early viscoelastic response of the murine hippocampus to amyloid β accumulation and neuronal cell loss due to Alzheimer's disease. Journal of Magnetic Resonance Imaging, 47(1), 105-114. https://dx.doi.org/10.1002/jmri.25741
  • Lommen, J., Syben-Leisner, C., Stimpel, B., Bayer, S., Nagel, A.M., Fahrig, R.,… Maier, A. (2018, October). MR-projection imaging with perspective distortion as in X-ray fluoroscopy for interventional X/MR-hybrid applications. Poster presentation at 12 th Interventional MRI Symposium Proceedings (12 th Interventional MRI Symposium), Boston, USA.
  • Stimpel, B., Syben, C., Würfl, T., Mentl, K., Dörfler, A., & Maier, A. (2018). MR to X-ray Projection Image Synthesis. In Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) (pp. 435-438). Salt Lake City, UT, USA.
  • Breininger, K., Würfl, T., Kurzendorfer, T., Albarqouni, S., Pfister, M., Kowarschik, M.,… Maier, A. (2018). Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. In Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (pp. 19-27). Granada, Spain: Springer: Springer International Publishing.
  • Kurzendorfer, T., Breininger, K., Steidl, S., Brost, A., Forman, C., & Maier, A. (2018). Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification. In Proceedings – International Conference on Pattern Recognition (pp. 3168-3173). Beijing, CN: Institute of Electrical and Electronics Engineers Inc..
  • Syben, C., Stimpel, B., Breininger, K., Würfl, T., Fahrig, R., Dörfler, A., & Maier, A. (2018). Precision Learning: Reconstruction Filter Kernel Discretization. In Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (pp. 386-390). Salt Lake City, Utha, USA.
  • Budday, S., Sommer, G., Paulsen, F., Holzapfel, G.A., Steinmann, P., & Kuhl, E. (2018). Region‐ and loading‐specific finite viscoelasticity of human brain tissue. Proceedings in Applied Mathematics and Mechanics, 18. https://dx.doi.org/10.1002/pamm.201800169
  • Bögel, M., Gehrisch, S., Redel, T., Rohkohl, C., Birkhold, A., Hölter, P.,… Dörfler, A. (2018). Robust blood flow velocity estimation from 3D rotational angiography. In Proceedings – International Conference on Image Processing, ICIP (pp. 3353-3357). Athens, GRC: IEEE Computer Society.
  • Huang, Y., Würfl, T., Breininger, K., Liu, L., Lauritsch, G., & Maier, A. (2018). Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. In Proceedings of the 21st International Conference on Medical Image Computing & Computer Assisted Intervention (pp. 145-153). Granada, Spain: Springer, Cham.
  • Mennecke, A., Rösch, J., Kasper, B., Schmidt, M., Roessler, K., Coras, R.,… Laun, F.B. (2018). Symmetric tract-based spatial statistics of patients with left versus right mesial temporal lobe epilepsy with hippocampal sclerosis. NeuroReport, 29(15), 1309-1314. https://dx.doi.org/10.1097/WNR.0000000000001112
  • Schirrmacher, F., Köhler, T., Endres, J., Lindenberger, T., Husvogt, L., Fujimoto, J.G.,… Hölter, P. (2018). Temporal and Volumetric Denoising via Quantile Sparse Image Prior. Medical Image Analysis, 48(0), 131-146. https://dx.doi.org/10.1016/j.media.2018.06.002
  • Andres, S., Steinmann, P., & Budday, S. (2018). The origin of compression influences geometric instabilities in bilayers. Proceedings of the Royal Society A-Mathematical Physical and Engineering Sciences. https://dx.doi.org/10.1098/rspa.2018.0267
  • Garcia, S.R.M., Grossmann, M., Lang, S.T., Tzschaetzsch, H., Dittmann, F., Hamm, B.,… Sack, I. (2018). Tomoelastography of the native kidney: Regional variation and physiological effects on in vivo renal stiffness. Magnetic Resonance in Medicine, 79(4), 2126-2134. https://dx.doi.org/10.1002/mrm.26892
  • Dittmann, F., Reiter, R., Haas, M., Asbach, P., Fischer, T., Braun, J.,… Guo, J. (2018). Tomoelastography of the prostate using multifrequency MR elastography and externally placed pressurized-air drivers. Magnetic Resonance in Medicine, 79(3), 1325-1333. https://dx.doi.org/10.1002/mrm.26769
  • Pivovarov, D., Steinmann, P., & Willner, K. (2018). Two reduction methods for stochastic FEM based homogenization using global basis functions. Computer Methods in Applied Mechanics and Engineering, 332, 488-519. https://dx.doi.org/10.1016/j.cma.2018.01.002
  • Gillmann, C., Coras, R., Roessler, K., Dörfler, A., Uder, M., Blümcke, I., & Bäuerle, T. (2018). Ultra-high field MRI of human hippocampi: Morphological and multiparametric differentiation of hippocampal sclerosis subtypes. PLoS ONE, 13(4). https://dx.doi.org/10.1371/journal.pone.0196008
  • Hudert, C.A., Tzschaetzsch, H., Guo, J., Rudolph, B., Blaeker, H., Loddenkemper, C.,… Sack, I. (2018). US time-harmonic elastography: Detection of liver fibrosis in adolescents with extreme obesity with nonalcoholic fatty liver disease. Radiology, 288(1), 99-106. https://dx.doi.org/10.1148/radiol.2018172928

2017

  • Endres, J., Rohkohl, C., Royalty, K., Schafer, S., Maier, A., Dörfler, A., & Kowarschik, M. (2017). Brain Parenchyma and Vessel Separation in 3D Digital Subtraction Angiography Images. In Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen. (pp. 319-324). Heidelberg.
  • Neupert, L.-M., May, P., Kobow, K., Nothnagel, M., Nuernberg, P., Freiman, T.,… Lal, D. (2017). DISCOVERY AND PATHOGENICITY ASSESSMENT OF NEUROPATHOLOGY-ASSOCIATED GENE VARIANTS. (pp. S174-S174).
  • Kiese, K., Jablonski, J., Hackenbracht, J., Wrosch, J.K., Groemer, T.W., Kornhuber, J.,… Kobow, K. (2017). Epigenetic control of epilepsy target genes contributes to a cellular memory of epileptogenesis in cultured rat hippocampal neurons. Acta Neuropathologica Communications, 5(1), 79. https://dx.doi.org/10.1186/s40478-017-0485-x
  • Breininger, K., Pfister, M., Koutouzi, G., Kowarschik, M., & Maier, A. (2017). Estimation of femoral artery access location for anatomic deformation correction. In 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (pp. 23-24). Magdeburg.
  • Syben, C., Stimpel, B., Leghissa, M., Dörfler, A., & Maier, A. (2017). Fan-beam Projection Image Acquisition using MRI. In 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (pp. 14-15). Magdeburg.
  • Blümcke, I., Spreafico, R., Haaker, G., Coras, R., Kobow, K., Bien, C.G.,… Avanzini, G. (2017). Histopathological Findings in Brain Tissue Obtained during Epilepsy Surgery. New England Journal of Medicine, 377(17), 1648-1656. https://dx.doi.org/10.1056/NEJMoa1703784
  • Budday, S., Sommer, G., Birkl, C., Langkammer, C., Haybaeck, J., Kohnert, J.,… Holzapfel, G.A. (2017). Mechanical characterization of human brain tissue. Acta Biomaterialia, 48, 319–340. https://dx.doi.org/10.1016/j.actbio.2016.10.036
  • Landkammer, P., Söhngen, B., Steinmann, P., & Willner, K. (2017). On gradient-based optimization strategies for inverse problems in metal forming. GAMM-Mitteilungen, 40(1), 27-50. https://dx.doi.org/10.1002/gamm.201710004
  • Budday, S., & Steinmann, P. (2017). On the influence of inhomogeneous stiffness and growth on mechanical instabilities in the developing brain. International Journal of Solids and Structures. https://dx.doi.org/10.1016/j.ijsolstr.2017.08.010
  • Wrosch, J.K., Von Einem, V., Breininger, K., Dahlmanns, M., Maier, A., Kornhuber, J., & Groemer, T.W. (2017). Rewiring of neuronal networks during synaptic silencing. Scientific Reports, 7(1). https://dx.doi.org/10.1038/s41598-017-11729-5
  • Budday, S., Sommer, G., Haybaeck, J., Steinmann, P., Holzapfel, G.A., & Kuhl, E. (2017). Rheological characterization of human brain tissue. Acta Biomaterialia. https://dx.doi.org/10.1016/j.actbio.2017.06.024
  • Blümcke, I., Kobow, K., & Holthausen, H. (2017). The ILAE classification of focal cortical dysplasia in clinical routine Die ILAE-Klassifikation fokaler kortikaler Dysplasien im klinischen Gebrauch. Zeitschrift für Epileptologie, 30(3), 200-207. https://dx.doi.org/10.1007/s10309-017-0119-0
  • Tzschätzsch, H., Dittmann, F., Braun, J., Sack, I., & Guo, J. (2017). Tomoelastography by multifrequency wave number recovery. In Thomas M. Deserno, Heinz Handels, Thomas Tolxdorff, Hans-Peter Meinzer (Eds.), Informatik aktuell (pp. 3-7). Berlin, DEU: Kluwer Academic Publishers.
  • Dittmann, F., Tzschaetzsch, H., Hirsch, S., Barnhill, E., Braun, J., Sack, I., & Guo, J. (2017). Tomoelastography of the abdomen: Tissue mechanical properties of the liver, spleen, kidney, and pancreas from single MR elastography scans at different hydration states. Magnetic Resonance in Medicine, 78(3), 976-983. https://dx.doi.org/10.1002/mrm.26484
  • Budday, S., Sommer, G., Holzapfel, G.A., Steinmann, P., & Kuhl, E. (2017). Viscoelastic parameter identification of human brain tissue. Journal of the Mechanical Behavior of Biomedical Materials, 74, 463-476. https://dx.doi.org/10.1016/j.jmbbm.2017.07.014
  • Budday, S., Andres, S., Walter, B., Steinmann, P., & Kuhl, E. (2017). Wrinkling instabilities in soft bi-layered systems. Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences, 375(2093). https://dx.doi.org/10.1098/rsta.2016.0163

2016

  • Munder, M.C., Midtvedt, D., Franzmann, T., Nueske, E., Otto, O., Herbig, M.,… Alberti, S. (2016). A pH-driven transition of the cytoplasm from a fluid- to a solid-like state promotes entry into dormancy. eLife, 5. https://dx.doi.org/10.7554/eLife.09347
  • Weickenmeier, J., de Rooij, R., Budday, S., Steinmann, P., Ovaert, T., & Kuhl, E. (2016). Brain stiffness increases with myelin content. Acta Biomaterialia, 42, 265–272. https://dx.doi.org/10.1016/j.actbio.2016.07.040
  • Holtzmann, K., Gautier, H.O.B., Christ, A.F., Guck, J., Karadottir, R.T., & Franze, K. (2016). Brain tissue stiffness is a sensitive marker for acidosis. Journal of Neuroscience Methods, 271, 50-54. https://dx.doi.org/10.1016/j.jneumeth.2016.07.002
  • Aichert, A., Breininger, K., Köhler, T., & Maier, A. (2016). Efficient Epipolar Consistency. In Proceedings of the 4th CT Meeting (pp. 383-386). Bamberg, Germany.
  • Dittmann, F., Hirsch, S., Tzschaetzsch, H., Guo, J., Braun, J., & Sack, I. (2016). In vivo wideband multifrequency MR elastography of the human brain and liver. Magnetic Resonance in Medicine, 76(4), 1116-1126. https://dx.doi.org/10.1002/mrm.26006
  • Blümcke, I., Aronica, E., Becker, A., Capper, D., Coras, R., Honavar, M.,… Thom, M. (2016). Low-grade epilepsy-associated neuroepithelial tumours – the 2016 WHO classification. Nature Reviews Neurology, 12(12), 732-740. https://dx.doi.org/10.1038/nrneurol.2016.173
  • Koser, D.E., Thompson, A.J., Foster, S.K., Dwivedy, A., Pillai, E.K., Sheridan, G.K.,… Franze, K. (2016). Mechanosensing is critical for axon growth in the developing brain. Nature Neuroscience, 19(12), 1592-1598. https://dx.doi.org/10.1038/nn.4394
  • Garcia, S.R.M., Fischer, T., Duerr, M., Gueltekin, E., Braun, J., Sack, I., & Guo, J. (2016). Multifrequency magnetic resonance elastography for the assessment of renal allograft function. Investigative Radiology, 51(9), 591-595. https://dx.doi.org/10.1097/RLI.0000000000000271
  • Bögel, M., Gehrisch, S., Redel, T., Rohkohl, C., Dörfler, A., Maier, A.,… Hölter, P. (2016). Patient-individualized boundary conditions for CFD simulations using time-resolved 3D angiography. International Journal of Computer Assisted Radiology and Surgery, 11(6), 1061-9. https://dx.doi.org/10.1007/s11548-016-1367-6
  • Hirsch, S., Scheel, M., Braun, J., Sack, I., & Guo, J. (2016). Three-parameter shear wave inversion in MR elastography of incompressible transverse isotropic media: Application to in vivo lower leg muscles. Magnetic Resonance in Medicine, 75(4), 1537-1545. https://dx.doi.org/10.1002/mrm.25740
  • Tzschaetzsch, H., Dittmann, F., Hirsch, S., Barnhill, E., Joehrens, K., Braun, J.,… Guo, J. (2016). Tomoelastography by multifrequency wave number recovery from time-harmonic propagating shear waves. Medical Image Analysis, 30, 1-10. https://dx.doi.org/10.1016/j.media.2016.01.001

2015

  • Bögel, M., Hölter, P., Redel, T., Maier, A., Hornegger, J., & Dörfler, A. (2015). A fully-automatic locally adaptive thresholding algorithm for blood vessel segmentation in 3D digital subtraction angiography. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 2006-2009). Milan, ITA: Institute of Electrical and Electronics Engineers Inc..
  • Sarker, B., Rompf, J., Silva, R., Lang, N., Detsch, R., Kaschta, J.,… Boccaccini, A.R. (2015). Alginate-based hydrogels with improved adhesive properties for cell encapsulation. International Journal of Biological Macromolecules, 78, 72-78. https://dx.doi.org/10.1016/j.ijbiomac.2015.03.061
  • Munder, M.C., Midtvedt, D., Franzmann, T.M., Nueske, E., Malinovska, L., Otto, O.,… Guck, J. (2015). A sol-gel transition of the cytoplasm driven by adaptive intracellular pH changes promotes entry into dormancy. Molecular Biology of the Cell, 26.
  • Fehlner, A., Papazoglou, S., Mcgarry, M.D., Paulsen, K.D., Streitberger, K.-J., Hirsch, S.,… Guo, J. (2015). Cerebral multifrequency MR elastography by remote excitation of intracranial shear waves. NMR in Biomedicine, 28(11), 1426-1432. https://dx.doi.org/10.1002/nbm.3388
  • Koser, D.E., Moeendarbary, E., Hanne, J., Kuerten, S., & Franze, K. (2015). CNS cell distribution and axon orientation determine local spinal cord mechanical properties. Biophysical Journal, 108(9), 2137-2147. https://dx.doi.org/10.1016/j.bpj.2015.03.039
  • Aichert, A., Wang, J., Schaffert, R., Dörfler, A., Hornegger, J., & Maier, A. (2015). Epipolar Consistency in Fluoroscopy for Image-Based Tracking. In Proceedings of the British Machine Vision Conference 2015 (pp. 86). Swansea, UK: Swansea, UK: BMVA Press.
  • Aichert, A., Berger, M., Wang, J., Maass, N., Dörfler, A., Hornegger, J., & Maier, A. (2015). Epipolar Consistency in Transmission Imaging. IEEE Transactions on Medical Imaging, 34(10), 1-15. https://dx.doi.org/10.1109/TMI.2015.2426417
  • Landkammer, P., Loderer, A., Krebs, E., Söhngen, B., Steinmann, P., Hausotte, T.,… Biermann, D. (2015). Experimental verification of a benchmark forming simulation. Key Engineering Materials, 639, 251-258. https://dx.doi.org/10.4028/www.scientific.net/KEM.639.251
  • Landkammer, P., Söhngen, B., Loderer, A., Krebs, E., Steinmann, P., Willner, K.,… Biermann, D. (2015). Experimentelle Verifizierung eines Benchmark-Umformprozesses. In Tagungsband zum 18. Workshop Simulation in der Umformtechnik & 3. Industriekolloquium Blechmassivumformung 2015 – DFG Transregio 73 (pp. 91-110). Aachen: Shaker Verlag.
  • Manhart, M., Maier, A., Hornegger, J., & Dörfler, A. (2015). Fast Adaptive Regularization for Perfusion Parameter Computation. In Bildverarbeitung für die Medizin (pp. 311-316). Lübeck.
  • Manhart, M., Maier, A., Hornegger, J., & Dörfler, A. (2015). Fast adaptive regularization for perfusion parameter computation: Tuning the Tikhonov regularization parameter to the SNR by regression. In Thomas Martin Deserno, Thomas Tolxdorff, Heinz Handels, Hans-Peter Meinzer (Eds.), Informatik aktuell (pp. 311-316). Lubeck, DEU: Kluwer Academic Publishers.
  • Buening, C., Schott, E., Kroencke, T., Braun, J., Althoff, C., Sack, I., & Guo, J. (2015). In vivo abdominal magnetic resonance elastography for the assessment of portal hypertension before and after transjugular intrahepatic portosystemic shunt implantation. Investigative Radiology, 50(5), 347-351. https://dx.doi.org/10.1097/RLI.0000000000000136
  • Streitberger, K.-J., Diederichs, G., Fehlner, A., Hamm, B., Braun, J., Sack, I., & Guo, J. (2015). In vivo multifrequency magnetic resonance elastography of the human intervertebral disk. Magnetic Resonance in Medicine, 74(5), 1380-1387. https://dx.doi.org/10.1002/mrm.25505
  • Budday, S., Nay, R., de Rooij, R., Steinmann, P., Wyrobek, T., Ovaert, T., & Kuhl, E. (2015). Mechanical properties of gray and white matter brain tissue by indentation. Journal of the Mechanical Behavior of Biomedical Materials, 46, 318-330. https://dx.doi.org/10.1016/j.jmbbm.2015.02.024
  • Ipek-Ugay, S., Driessle, T., Ledwig, M., Guo, J., Tolxdorff, T., Sack, I., & Braun, J. (2015). MR elastography on the desktop: Examination of the viscoelasticity of tissue samples with a low-field MR scanner MR-Elastographie auf dem schreibtisch: Untersuchung der viskoelastizität von gewebeproben mit einem niederfeld mr-tomographen. In Thomas Martin Deserno, Thomas Tolxdorff, Heinz Handels, Hans-Peter Meinzer (Eds.), Informatik aktuell (pp. 125-130). Lubeck, DEU: Kluwer Academic Publishers.
  • Tzschaetzsch, H., Ipek-Ugay, S., Manh Nguyen Trong, ., Eggers, J., Gentz, E., Fischer, T.,… Guo, J. (2015). Multifrequency time-harmonic elastography for the measurement of liver viscoelasticity in large tissue windows. Ultrasound in Medicine and Biology, 41(3), 724-733. https://dx.doi.org/10.1016/j.ultrasmedbio.2014.11.009
  • Coras, R., Korn, K., Bien, C.G., Kalbhenn, T., Roessler, K., Kobow, K.,… Blümcke, I. (2015). No evidence for human papillomavirus infection in focal cortical dysplasia IIb. Annals of Neurology, 77(2), 312-9. https://dx.doi.org/10.1002/ana.24328
  • Budday, S., Steinmann, P., & Kuhl, E. (2015). Physical biology of human brain development. Frontiers in Cellular Neuroscience, 9(257), 1-13. https://dx.doi.org/10.3389/fncel.2015.00257
  • Budday, S., Steinmann, P., Kuhl, E., & Andres, S. (2015). Primary and secondary instabilities in soft bilayered systems. In PAMM (pp. 281-282). Lecce, IT: Weinheim: Wiley-VCH Verlag GmbH&Co.KGaA.
  • Lu, Y., Manhart, M., Taubmann, O., Zobel, T., Yang, Q., Choi, J.-H.,… Maier, A. (2015). Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors. In Bildverarbeitung für die Medizin 2015 (pp. 137-142). Lübeck, Germany: Lübeck: Springer.
  • Sindel, A., Bögel, M., Maier, A., Fahrig, R., Hornegger, J., & Dörfler, A. (2015). Respiratory Motion Compensation for C-arm CT Liver Imaging. In Bildverarbeitung für die Medizin 2015 (pp. 221-226). Lübeck.
  • Budday, S., Steinmann, P., & Kuhl, E. (2015). Secondary instabilities modulate cortical complexity in the mammalian brain. Philosophical Magazine, 95(28-30), 3244–3256. https://dx.doi.org/10.1080/14786435.2015.1024184
  • Budday, S., Steinmann, P., Goriely, A., & Kuhl, E. (2015). Size and curvature regulate pattern selection in the mammalian brain. Extreme Mechanics Letters, 4, 193-198. https://dx.doi.org/10.1016/j.eml.2015.07.004
  • Ipek-Ugay, S., Driessle, T., Ledwig, M., Hirsch, S., Braun, J., Sack, I., & Guo, J. (2015). Tabletop magnetic resonance elastography for the measurement of viscoelastic parameters of small tissue samples. Journal of Magnetic Resonance, 251(1), 13-18. https://dx.doi.org/10.1016/j.jmr.2014.11.009
  • Millward, J.M., Guo, J., Berndt, D., Braun, J., Sack, I., & Infante-Duarte, C. (2015). Tissue structure and inflammatory processes shape viscoelastic properties of the mouse brain. NMR in Biomedicine, 28(7), 831-839. https://dx.doi.org/10.1002/nbm.3319

2014

  • Breininger, K., Maier, A., Forman, C., Flatz, W., Messmer, C., & Schuster, M. (2014). Alae Tracker: Tracking of the Nasal Walls in MR-Imaging. In Bildverarbeitung für die Medizin 2014 (pp. 336-341). Aachen: Berlin: Springer.
  • Budday, S., Steinmann, P., & Kuhl, E. (2014). A mechanical approach to explain cortical folding phenomena in healthy and diseased brains. In PAMM (pp. 101-102). Erlangen, Germany, DE: Erlangen, Germany: Wiley.
  • Grigore, A., Sarker, B., Fabry, B., Boccaccini, A.R., & Detsch, R. (2014). Behavior of encapsulated MG-63 cells in RGD and gelatine-modified alginate hydrogels. Tissue Engineering – Part A, 20, 2140-2150. https://dx.doi.org/10.1089/ten.tea.2013.0416
  • Spitzer, P., Kohl, Z., Gölitz, P., Coras, R., Blümcke, I., Brueck, W.,… Maihöfner, C. (2014). Biochemical markers of neurodegeneration in hereditary diffuse leucoencephalopathy with spheroids. BMJ Case Reports, 2014. https://dx.doi.org/10.1136/bcr-2012-008510
  • Manhart, M., Aichert, A., Struffert, T., Deuerling-Zheng, Y., Kowarschik, M., Maier, A.,… Dörfler, A. (2014). Denoising and artefact reduction in dynamic flat detector CT perfusion imaging using high speed acquisition: first experimental and clinical results. Physics in Medicine and Biology, 59(16), 4505-4524. https://dx.doi.org/10.1088/0031-9155/59/16/4505
  • Kobow, K., & Blümcke, I. (2014). Epigenetic mechanisms in epilepsy. Progress in Brain Research, 213, 279-316. https://dx.doi.org/10.1016/B978-0-444-63326-2.00014-4
  • Silva, R., Fabry, B., & Boccaccini, A.R. (2014). Fibrous protein-based hydrogels for cell encapsulation. Biomaterials, 35(25), 6727-6738. https://dx.doi.org/10.1016/j.biomaterials.2014.04.078
  • Manhart, M., Fahrig, R., Hornegger, J., Dörfler, A., & Maier, A. (2014). Guided Noise Reduction for Spectral CT with Energy-Selective Photon Counting Detectors. In Proceedings of the Third CT Meeting (pp. 91-94). Salt Lake City, UT, USA.
  • Streitberger, K.-J., Reiss-Zimmermann, M., Freimann, F.B., Bayerl, S., Arlt, F., Wuerfel, J.,… Guo, J. (2014). High-resolution mechanical imaging of glioblastoma by multifrequency magnetic resonance elastography. PLoS ONE, 9(10). https://dx.doi.org/10.1371/journal.pone.0110588
  • Braun, J., Luetzkendorf, R., Stadler, J., Papazoglou, S., Hirsch, S., Bernarding, J.,… Guo, J. (2014). High-resolution mechanical imaging of the human brain by three-dimensional multifrequency magnetic resonance elastography at 7T. NeuroImage, 90, 308-314. https://dx.doi.org/10.1016/j.neuroimage.2013.12.032
  • Streitberger, K.-J., Tzschaetzsch, H., Hirsch, S., Fischer, T., Braun, J., Sack, I., & Guo, J. (2014). High-resolution mechanical imaging of the kidney. Journal of Biomechanics, 47(3), 639-644. https://dx.doi.org/10.1016/j.jbiomech.2013.11.051
  • Jiang, X., Asbach, P., Streitberger, K.-J., Thomas, A., Hamm, B., Braun, J.,… Guo, J. (2014). In vivo high-resolution magnetic resonance elastography of the uterine corpus and cervix. European Radiology, 24(12), 3025-3033. https://dx.doi.org/10.1007/s00330-014-3305-8
  • Tzschaetzsch, H., Ipek-Ugay, S., Streitberger, K.-J., Gentz, E., Fischer, T., Klaua, R.,… Guo, J. (2014). In vivo time-harmonic multifrequency elastography of the human liver. Physics in Medicine and Biology, 59(7), 1641-1654. https://dx.doi.org/10.1088/0031-9155/59/7/1641
  • Romano, A., Prokscha, T., Meyer, T., Hirsch, S., Braun, J., Scheel, M.,… Guo, J. (2014). In vivo Waveguide elastography: Effects of neurodegeneration in patients with amyotrophic lateral sclerosis. Magnetic Resonance in Medicine, 72(6), 1755-1761. https://dx.doi.org/10.1002/mrm.25067
  • Manhart, M., Maier, A., Hornegger, J., & Dörfler, A. (2014). Material Decomposition for Energy Resolving Detectors using Weighted Levenberg-Marquardt Optimization. In Proceedings of the 1st Conference on Image Guided Interventions (pp. 23-24). Magdeburg.
  • Hirsch, S., Reiter, R., Papazoglou, S., Kroencke, T., Braun, J., Sack, I., & Guo, J. (2014). MR Elastography of the Liver and the Spleen Using a Piezoelectric Driver, Single-Shot Wave-Field Acquisition, and Multifrequency Dual Parameter Reconstruction. Magnetic Resonance in Medicine, 71(1), 267-277. https://dx.doi.org/10.1002/mrm.24674
  • Guo, J., Hirsch, S., Streitberger, K.J., Kamphues, C., Asbach, P., Braun, J., & Sack, I. (2014). Patient-activated three-dimensional multifrequency magnetic resonance elastography for high-resolution mechanical imaging of the liver and spleen. Röfo: Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 186(3), 260-266. https://dx.doi.org/10.1055/s-0033-1350510
  • Aichert, A., Maass, N., Deuerling-Zheng, Y., Berger, M., Manhart, M., Hornegger, J.,… Dörfler, A. (2014). Redundancies in X-ray images due to the epipolar geometry for transmission imaging. In Proceedings of the third international conference on image formation in x-ray computed tomography (pp. 333-337). Salt Lake City, UT, USA.
  • Moshayedi, P., Ng, G., Kwok, J.C.F., Yeo, G.S.H., Bryant, C.E., Fawcett, J.W.,… Guck, J. (2014). The relationship between glial cell mechanosensitivity and foreign body reactions in the central nervous system. Biomaterials, 35(13), 3919-3925. https://dx.doi.org/10.1016/j.biomaterials.2014.01.038
  • Budday, S., Steinmann, P., & Kuhl, E. (2014). The role of mechanics during brain development. Journal of the Mechanics and Physics of Solids, 72, 75-92. https://dx.doi.org/10.1016/j.jmps.2014.07.010
  • Hirsch, S., Reiter, R., Schott, E., Buening, C., Somasundaram, R., Braun, J.,… Guo, J. (2014). Towards compression-sensitive magnetic resonance elastography of the liver: Sensitivity of harmonic volumetric strain to portal hypertension. Journal of Magnetic Resonance Imaging, 39(2), 298-306. https://dx.doi.org/10.1002/jmri.24165

2013

  • Aichert, A., Manhart, M., Navalpakkam, B., Grimm, R., Hutter, J.M., Maier, A.,… Dörfler, A. (2013). A Realistic Digital Phantom for Perfusion C-Arm CT Based on MRI Data. In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). Seoul, South Korea.
  • Hirsch, S., Beyer, F., Papazoglou, S., Tzschaetzsch, H., Braun, J., Sack, I., & Guo, J. (2013). Compression-sensitive magnetic resonance elastography. Physics in Medicine and Biology, 58(15), 5287-5299. https://dx.doi.org/10.1088/0031-9155/58/15/5287
  • Kobow, K., Kaspi, A., Harikrishnan, K.N., Kiese, K., Ziemann, M., Khurana, I.,… Blümcke, I. (2013). Deep sequencing reveals increased DNA methylation in chronic rat epilepsy. Acta Neuropathologica, 126(5), 741-56. https://dx.doi.org/10.1007/s00401-013-1168-8
  • Manhart, M., Aichert, A., Kowarschik, M., Deuerling-Zheng, Y., Struffert, T., Dörfler, A.,… Hornegger, J. (2013). Guided Noise Reduction with Streak Removal for High Speed Flat Detector CT Perfusion. In Proceedings NSS/MIC 2013. Seoul, Korea.
  • Wu, X., Rampp, S., Buchfelder, M., Kuwert, T., Blümcke, I., Zhou, D.,… Dörfler, A. (2013). Interictal magnetoencephalography used in magnetic resonance imaging-negative patients with epilepsy. Acta Neurologica Scandinavica, 127(4), 274-280. https://dx.doi.org/10.1111/j.1600-0404.2012.01712.x
  • Franze, K., Janmey, P.A., & Guck, J. (2013). Mechanics in neuronal development and repair. In Annual Review of Biomedical Engineering. (pp. 227-251).
  • Freimann, F.B., Mueller, S., Streitberger, K.-J., Rot, S., Ghori, A., Vajkoczy, P.,… Guo, J. (2013). MR elastography in a murine stroke model reveals correlation of macroscopic viscoelastic properties of the brain with neuronal density. NMR in Biomedicine, 26(11), 1534-1539. https://dx.doi.org/10.1002/nbm.2987
  • Simon, M., Papazoglou, S., Scholand-Engler, H., Erdmann, C., Melchert, U., Bonsanto, M.,… Guo, J. (2013). Non-invasive characterization of intracranial tumors by magnetic resonance elastography. New Journal of Physics, 15. https://dx.doi.org/10.1088/1367-2630/15/8/085024
  • Kobow, K., El-Osta, A., & Blümcke, I. (2013). The methylation hypothesis of pharmacoresistance in epilepsy. Epilepsia, 54 Suppl 2, 41-7. https://dx.doi.org/10.1111/epi.12183
  • Hirsch, S., Fehlner, A., Papazoglou, S., Scheel, M., Braun, J., Sack, I., & Guo, J. (2013). Towards an Elastographic Atlas of Brain Anatomy. PLoS ONE, 8(8). https://dx.doi.org/10.1371/journal.pone.0071807
  • Schmaltz, S., Landkammer, P., Beyer, F., Kumor, D., Rademacher, A., Blum, H.,… Willner, K. (2013). Vorstellung eines Simulationsbenchmarks für die Blechmassivumformung. In Merklein, M., Behrens, B.-A., Tekkaya, A. E. (Hrg.), Tagungsband zum 2. Erlanger Workshop Blechmassivumformung 2013. (S. 53-68). Bamberg: Meisenbach.

2012

  • Posnansky, O., Guo, J., Hirsch, S., Papazoglou, S., Braun, J., & Sack, I. (2012). Fractal network dimension and viscoelastic powerlaw behavior: I. A modeling approach based on a coarse-graining procedure combined with shear oscillatory rheometry. Physics in Medicine and Biology, 57(12), 4023-4040. https://dx.doi.org/10.1088/0031-9155/57/12/4023
  • Guo, J., Posnansky, O., Hirsch, S., Scheel, M., Taupitz, M., Braun, J., & Sack, I. (2012). Fractal network dimension and viscoelastic powerlaw behavior: II. An experimental study of structure-mimicking phantoms by magnetic resonance elastography. Physics in Medicine and Biology, 57(12), 4041-4053. https://dx.doi.org/10.1088/0031-9155/57/12/4041
  • Lehmann, E., Schmaltz, S., Germain, S., Fassmann, D., Weber, C., Loehnert, S.,… Wriggers, P. (2012). Material model identification for DC04 based on the numerical modelling of the polycrystalline microstructure and experimental data. In 15th ESAFORM Conference Proceeding (pp. 993-998). Erlangen, Germany, DE: Trans Tech Publications.
  • Kreysing, M., Pusch, R., Haverkate, D., Landsberger, M., Engelmann, J., Ruiter, J.,… Francke, M. (2012). Photonic crystal light collectors in fish retina improve vision in turbid water. Science, 336(6089), 1700-1703. https://dx.doi.org/10.1126/science.1218072
  • Kobow, K., & Blümcke, I. (2012). The emerging role of DNA methylation in epileptogenesis. Epilepsia, 53, 11-20. https://dx.doi.org/10.1111/epi.12031