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Leveraging coupled multi-index for scalable retrieval of mammographic masses.

M. Jiang, S. Zhang, R. Fang, and D. Metaxas. ISBI, page 276-280. IEEE, (2015)

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Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients.R. Fang, T. Chen, and P. Sanelli. ISBI, page 872-875. IEEE, (2012)Indexing and mining large-scale neuron databases using maximum inner product search.Z. Li, R. Fang, F. Shen, A. Katouzian, and S. Zhang. Pattern Recognition, (2017)Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector.B. Sheng, P. Li, S. Mo, H. Li, X. Hou, Q. Wu, J. Qin, R. Fang, and D. Feng. IEEE Trans. Cybernetics, 49 (7): 2707-2719 (2019)Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration.Y. Xiao, S. Stolte, P. Liu, Y. Liang, P. Sanelli, A. Gupta, J. Ivanidze, and R. Fang. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Tissue-specific sparse deconvolution for brain CT perfusion.R. Fang, H. Jiang, and J. Huang. Comp. Med. Imag. and Graph., (2015)Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries.R. Fang, T. Chen, and P. Sanelli. MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 272-280. Springer, (2012)STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion.Y. Xiao, A. Gupta, P. Sanelli, and R. Fang. MLMI@MICCAI, volume 10541 of Lecture Notes in Computer Science, page 97-105. Springer, (2017)SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion.P. Liu, and R. Fang. ISBI, page 349-352. IEEE, (2018)Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations.K. See, D. Arpin, D. Vaillancourt, R. Fang, and S. Coombes. NeuroImage, (2021)Leveraging coupled multi-index for scalable retrieval of mammographic masses.M. Jiang, S. Zhang, R. Fang, and D. Metaxas. ISBI, page 276-280. IEEE, (2015)

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Leveraging coupled multi-index for scalable retrieval of mammographic masses.

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Disambiguation of "Fang, Ruogu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Leveraging coupled multi-index for scalable retrieval of mammographic masses.

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Leveraging coupled multi-index for scalable retrieval of mammographic masses.