Export 7167 results:
Search results for biblio_year:1983  [Reset Search]
G. Halnes, K. H. Pettersen, L. Øyehaug, M. E. Rognes, H. P. Langtangen and G. T. Einevoll. "Astrocytic Ion Dynamics: Implications for Potassium Buffering and Liquid Flow." In Computational Glioscience , edited by D. M. Pitta and H. Berry. Springer Series in Computational Neuroscience: Springer, 2019.
P. E. Farrell, J. E. Hake, S. W. Funke and M. E. Rognes. "Automated adjoints of coupled PDE-ODE systems." SIAM Journal on Scientific Computing 41, no. 3 (2019).
A. Bergersen, C. Chnafa, D. Gallo, M. Piccinelli, D. A. Steinman and K. Valen-Sendstad. "Automated and Objective Removal of Bifurcation Aneurysms: Incremental Improvements, and Validation Against Healthy Controls." Journal of Biomechanics 96 (2019): 109342.
P. M. Florvaag, V. Naumova and K. Valen-Sendstad. Automated and objective segmentation of medical image using machine learning techniques: all models are wrong, but some are useful In Computational and Mathematical Biomedical Engineering. Sendai, Japan: CMBE, 2019.File no_pdf_yet.docx (21.56 KB)
M. Fornasier, E. De Vito, Z. Kereta and V. Naumova. Automated parameter estimation for selected inverse problems In Grenoble, France., 2019.
K. Ahmad, K. Pogorelov, M. Riegler, O. Ostroukhova, P. Halvorsen, N. Conci and R. Dahyot. "Automatic detection of passable roads after floods in remote sensed and social media data." Signal Processing: Image Communication 74 (2019): 110-118.
R. Borgli, H. K. Stensland and M. Riegler. Automatic Hyperparameter Optimization for Transfer Learning on Medical Image Datasets Using Bayesian Optimization In 13th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2019.PDF icon runeismict19.pdf (3.73 MB)
Y. Aboelkassem, A. K. Diem, K. Valen-Sendstad and A. D. McCulloch. Autonomic Modelling of Interaction between Coronary Perfusion Flow and Myocardium Mechanics using Computational Poroelasticity In International Society of Autonomic Neuroscience, Los Angeles, CA, USA. International Society of Autonomic Neuroscience, 2019., 2019.
A. Thune and X. Cai. Balancing the numerical and parallel performance for reservoir simulations In SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA., 2019.
S. Ali, F. Damiani, S. Dustdar, M. Sanseverino, M. Viroli and D. Weyns. Big data from the cloud to the edge: the aggregate computing solution In Proceedings of the 13th European Conference on Software Architecture, Edited by L. Duchien and C. Trubiani. Vol. 2. New York, NY, USA: ACM, 2019.
K. J. Hole and S. Ahmad. "Biologically driven AI." IEEE Computer 52, no. 8 (2019): 72-87.
E. A. Ataman, C. Schenker, Y. Levin-Schwartz, V. D. Calhoun and T. Adali. Biomarker Discovery through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data In IEEE EMBC (Engineering in Medicine and Biology Conference), Berlin, Germany., 2019.
E. A. Ataman, G. Gurdeniz, B. Khakimov, F. Savorani, S. K. Korndal, T. M. Larsen, S. B. Engelsen, A. Astrup and L. O. Dragsted. "Biomarkers of individual foods, and separation of diets using untargeted LC-MS based plasma metabolomics in a randomized controlled trial." Molecular Nutrition & Food Research 63 (2019): 1-10.
T. Mäki-Marttunen, T. Kaufmann, T. Elvs\aashagen, A. Devor, S. Djurovic, L. T. Westlye, M. Linne, M. Rietschel, D. Schubert, S. Borgwardt et al. "Biophysical Psychiatry—How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders." Frontiers in psychiatry 10 (2019).PDF icon revscz.pdf (1.2 MB)
K. Pogorelov, S. Suman, F. A. Hussin, A. S. Malik, O. Ostroukhova, M. Riegler, P. Halvorsen, S. H. Ho and K. Goh. "Bleeding detection in wireless capsule endoscopy videos—Color versus texture features." Journal of applied clinical medical physics 20, no. 8 (2019): 141-154.
Y. Dai, D. Xu, S. Maharjan, Z. Chen, Q. He and Y. Zhang. "Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond." IEEE Network 33, no. 3 (2019).
Y. Lu, X. Huang, Y. Dai, S. Maharjan and Y. Zhang. "Blockchain and Federated Learning for Privacy-preserved Data Sharing in Industrial IoT." IEEE Transactions on Industrial Informatics (Early Access) (2019).
L. Jiang, S. Xie, S. Maharjan and Y. Zhang. "Blockchain Empowered Wireless Power Transfer for Green and Secure Internet of Things." IEEE Network 33, no. 6 (2019): 164-171.
A. Severinson, A. G. i. Amat and E. Rosnes. "Block-diagonal and LT codes for distributed computing with straggling servers." IEEE Transactions on Communications 67, no. 3 (2019): 1739-1753.
S. Sen. Breathing right while rowing. Medium, 2019.
S. Schork, F. Zahid, D. Pradhan, S. Kicin and A. Schwichtenberg. Building an Open-Source Cross-Cloud DevOps stack for a CRM Enterprise Application: A Case Study In IFIP International Conference on Open Source Systems, Edited by F. Bordeleau, A. Sillitti, P. Meirelles and V. Lenarduzzi. Springer, 2019.
A. Souche and K. Valen-Sendstad. Can turbulent-like flow cause high frequency vibrations of intracranial aneurysm walls ?. Biomechanics in Vascular Biology and Cardiovascular Disease (14th international symposium), London, United Kingdom, 2019.
S. A. Obead, H. Lin, E. Rosnes and J. Kliewer. On the capacity of private nonlinear computation for replicated databases In IEEE Information Theory Workshop (ITW). IEEE, 2019.
J. D. Powers, C. Yuan, K. J. McCabe, J. D. Murray, M. C. Childers, G. V. Flint, F. Moussavi-Harami, S. Mohran, R. Castillo, C. Zuzek et al. "Cardiac myosin activation with 2-deoxy-ATP via increased electrostatic interactions with actin." Proceedings of the National Academy of Sciences (2019).
K. H. Jæger. Cell-Based Mathematical Models of Small Collections of Excitable Cells In The University of Oslo. Vol. PhD. Department of Informatics, University of Oslo, 2019.