BraggNN: fast X-ray Bragg peak analysis using deep learning
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Ian Foster | Rajkumar Kettimuthu | Zhengchun Liu | Peter Kenesei | Jonathan Almer | Jun-Sang Park | Hemant Sharma | R. Kettimuthu | P. Kenesei | J. Almer | H. Sharma | Jun-Sang Park | Zhengchun Liu | Ian T Foster
[1] Taghi M. Khoshgoftaar,et al. A survey on Image Data Augmentation for Deep Learning , 2019, Journal of Big Data.
[2] S. E. Offerman,et al. A fast methodology to determine the characteristics of thousands of grains using three‐dimensional X‐ray diffraction. II. Volume, centre‐of‐mass position, crystallographic orientation and strain state of grains , 2012 .
[3] Ian Foster,et al. Deep Learning Accelerated Light Source Experiments , 2019, 2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS).
[4] Tao Zhang,et al. A Survey of Model Compression and Acceleration for Deep Neural Networks , 2017, ArXiv.
[5] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[6] Meimei Li,et al. Far-Field High-Energy Diffraction Microscopy: A Non-Destructive Tool for Characterizing the Microstructure and Micromechanical State of Polycrystalline Materials , 2017, Microscopy Today.
[7] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[8] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[9] S. E. Offerman,et al. A fast methodology to determine the characteristics of thousands of grains using three-dimensional X-ray diffraction. I. Overlapping diffraction peaks and parameters of the experimental setup , 2012 .
[10] Arie Shoshani,et al. Optimizing connected component labeling algorithms , 2005, SPIE Medical Imaging.
[11] Quoc V. Le,et al. AutoAugment: Learning Augmentation Policies from Data , 2018, ArXiv.
[12] Ian Foster,et al. Scientific Image Restoration Anywhere , 2019, 2019 IEEE/ACM 1st Annual Workshop on Large-scale Experiment-in-the-Loop Computing (XLOOP).
[13] Jonathan P. Wright,et al. On the calibration of high-energy X-ray diffraction setups. I. Assessing tilt and spatial distortion of the area detector , 2014 .
[14] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Ian T. Foster,et al. TomoGAN: low-dose synchrotron x-ray tomography with generative adversarial networks: discussion. , 2019, Journal of the Optical Society of America. A, Optics, image science, and vision.
[16] Christophe Fiorio,et al. Two Linear Time Union-Find Strategies for Image Processing , 1996, Theor. Comput. Sci..
[17] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[18] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[19] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.