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Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.

, , , , , and . CoRR, (2017)

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Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach., , , , , , and . IEEE Trans. Med. Imaging, 30 (6): 1184-1191 (2011)Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network., , , , , and . CoRR, (2017)Simultaneous automatic detection of optic disc and fovea on fundus photographs., , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79622T. SPIE, (2011)Fault tree analysis of a hydraulic system based on the interval model using latin hypercube sampling., , , , and . Journal of Intelligent and Fuzzy Systems, 37 (6): 8345-8355 (2019)Optimal filter approach for the detection of vessel bifurcations in color fundus images., , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866920. SPIE, (2013)An improved arteriovenous classification method for the early diagnostics of various diseases in retinal image., , , and . Computer Methods and Programs in Biomedicine, (2017)An Improved U-Net Architecture for Simultaneous Arteriole and Venule Segmentation in Fundus Image., , and . MIUA, volume 894 of Communications in Computer and Information Science, page 333-340. Springer, (2018)Retinal vessel width measurements based on a graph-theoretic method., , , , , and . ISBI, page 641-644. IEEE, (2011)Fault Tree Analysis of an Airborne Refrigeration System Based on a Hyperellipsoidal Model., , , , and . IEEE Access, (2019)Stratified Sampling Voxel Classification for Segmentation of Intraretinal and Subretinal Fluid in Longitudinal Clinical OCT Data., , , , and . IEEE Trans. Med. Imaging, 34 (7): 1616-1623 (2015)