Papers matching “training parameter optimization” 21
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Segmentation-Driven Optimization For Iterative Reconstruction in Optical Projection Tomography: An Exploration2020 IEEE Transactions on Computational Imaging article Computer Science Medical Image Segmentation Techniques Open access
Xiaoqin Tang, Hermes Spaink, Rob Christiaan van Wijk, Fons J. Verbeek
2citations -
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent2020 Lecture notes in computer science conference-paper Computer Science Stochastic Gradient Optimization Techniques
Alper Yegenoglu, Kai Krajsek, Sandra Diaz-Pier, Michaël Herty
7citations -
MobileCrack: Object Classification in Asphalt Pavements Using an Adaptive Lightweight Deep Learning2020 Journal of Transportation Engineering Part B Pavements article Engineering Infrastructure Maintenance and Monitoring
Yue Hou, Qiuhan Li, Qiang Han, Bo Peng, Linbing Wang, Xingyu Gu, +1 more
59citations -
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning2020 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Mario Rüttgers, Seong Ryong Koh, Jenia Jitsev, Wolfgang Schröder, Andreas Lintermann
7citations -
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis
Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, +1 more
4citations -
Soluble urokinase plasminogen activator receptor (suPAR) predicts outcome after resection of biliary tract cancer2020 Zeitschrift für Gastroenterologie conference-paper Medicine Cholangiocarcinoma and Gallbladder Cancer Studies
Sven Heiko Loosen, Annemarie Breuer, Frank Tacke, Christian Trautwein, Thomas Longerich, Christoph Roderburg, +2 more
0citations -
Circulating levels of soluble urokinase plasminogen activator receptor (suPAR) to predict outcome after resection of biliary tract cancer.2020 Journal of Clinical Oncology conference-abstract Medicine Cholangiocarcinoma and Gallbladder Cancer Studies
Sven Heiko Loosen, Annemarie Breuer, Frank Tacke, Patrick H. Alizai, Tom Florian Ulmer, Christian Trautwein, +4 more
0citations -
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access
Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar
4citations -
Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence2020 Radiology Artificial Intelligence article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Justus Schock, Daniel Truhn, Daniel Benjamin Abrar, Dorit Merhof, Stefan Conrad, Manuel Post, +3 more
78citations -
Real-time segmentation for tomographic imaging2020 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Computer Science Medical Image Segmentation Techniques Open access
Richard Schoonhoven, Jan‐Willem Buurlage, Daniël M. Pelt, Kees Joost Batenburg
2citations
21 results