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Deep independence network analysis of structural brain imaging: A simulation study.

, , , , , and . MLSP, page 1-6. IEEE, (2015)

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Univ. -Prof. Dr. Oliver Röhrle University of Stuttgart

Data for: Rheological Analysis and Evaluation of Measurement Techniques for the Curing Polymethylmethacrylate Bone Cement in Vertebroplasty, , , , , , , , and . Dataset, (2024)Related to: Trivedi, Z., Wychowaniec, J. K., Gehweiler, D., Sprecher, C. M., Boger, A., Gueorguiev, B., D’Este, M., Ricken, T., & Röhrle, O. (2023). Rheological Analysis and Evaluation of Measurement Techniques for the Curing Polymethylmethacrylate Bone Cement in Vertebroplasty. arXiv: arXiv:2312.11426.
 

Other publications of authors with the same name

MINE: Mutual Information Neural Estimation., , , , and . CoRR, (2018)Online Adaptative Curriculum Learning for GANs., , , , , , and . CoRR, (2018)Recurrent Neural Networks for Spatiotemporal Dynamics of Intrinsic Networks from fMRI Data., , and . CoRR, (2016)Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach., , , , , and . SSIAI, page 1-4. IEEE Computer Society, (2016)Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia., , , , , , , , , and 1 other author(s). NeuroImage, (2015)Learning deep representations by mutual information estimation and maximization., , , , , and . CoRR, (2018)Boundary-Seeking Generative Adversarial Networks., , , , and . CoRR, (2017)Batch weight for domain adaptation with mass shift., , and . CoRR, (2019)Iterative Refinement of the Approximate Posterior for Directed Belief Networks., , , , , and . NIPS, page 4691-4699. (2016)A deep-learning approach to translate between brain structure and functional connectivity., , , , and . ICASSP, page 6155-6159. IEEE, (2017)