Matthias Glöckel

Deep learning-assisted radiomics facilitates multimodal prognostication for personalized treatment strategies in low-grade glioma
Rauch, P., Stefanits, H., Aichholzer, M., Serra, C., Vorhauer, D., Wagner, H., Böhm, P., Hartl, S., Manakov, I., Sonnberger, M., Buckwar, E., Ruiz-Navarro, F., Heil, K., Glöckel, M., Oberndorfer, J., Spiegl-Kreinecker, S., Aufschnaiter-Hiessböck, K., Weis, S., Leibetseder, A. & Thomae, W. & 5 others, Hauser, T., Auer, C., Katletz, S., Gruber, A. & Gmeiner, M., Dec 2023, In: Scientific Reports. 13, 1, 12 p., 9494.
Research output: Contribution to journal › Article › peer-review

Open Access
Fibrin in Nerve Tissue Engineering
Heinzel, J., Glöckel, M., Gruber, A., Heher, P. & Hercher, D., 2022, Peripheral Nerve Tissue Engineering and Regeneration. Switzerland: Springer Nature, p. 281–322 42 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Patient specific Glioma Simulation
Glöckel, M. (Speaker)
17 Jun 2022
Activity: Talk or presentation › Contributed talk › science-to-science

Research output