[{"title":"( 26 个子文件 68.54MB ) 2019-2021年关于radon变换的26篇英文论文","children":[{"title":"radon","children":[{"title":"On non-parametric density estimation on linear and non-linear manifolds using generalized Radon transforms.pdf <span style='color:#111;'> 1.91MB </span>","children":null,"spread":false},{"title":"Forming Local Intersections of Projections for Classifying and Searching Histopathology Images.pdf <span style='color:#111;'> 354.96KB </span>","children":null,"spread":false},{"title":"Efficient Computation of Higher Order 2D Image Moments using the Discrete Radon Transform.pdf <span style='color:#111;'> 406.32KB </span>","children":null,"spread":false},{"title":"Video classification and retrieval through spatio-temporal Radon features.pdf <span style='color:#111;'> 2.37MB </span>","children":null,"spread":false},{"title":"Representing medical images with encoded local projections.pdf <span style='color:#111;'> 3.28MB </span>","children":null,"spread":false},{"title":"Performance Analysis of Ship Wake Detection on Sentinel-1 SAR.pdf <span style='color:#111;'> 3.54MB </span>","children":null,"spread":false},{"title":"Detection of Ship Wakes in SAR Imagery Using Cauchy Regularisation.pdf <span style='color:#111;'> 606.22KB </span>","children":null,"spread":false},{"title":"Retrieving neuronal orientations using 3D scanning SAXS and comparison with diffusion MRI.pdf <span style='color:#111;'> 2.61MB </span>","children":null,"spread":false},{"title":"Automatic identification of diabetic retinopathy stages by using fundus images and visibility graph method.pdf <span style='color:#111;'> 1.04MB </span>","children":null,"spread":false},{"title":"Barcodes for medical image retrieval using autoencoded Radon transform.pdf <span style='color:#111;'> 1.41MB </span>","children":null,"spread":false},{"title":"Projectron -- A Shallow and Interpretable Network for Classifying Medical Images.pdf <span style='color:#111;'> 3.94MB </span>","children":null,"spread":false},{"title":"Attitude Estimation Method of Space Targets by 3D Reconstruction of Principal Axis from ISAR Image.pdf <span style='color:#111;'> 876.01KB </span>","children":null,"spread":false},{"title":"DuDoNet Dual Domain Network for CT Metal Artifact Reduction.pdf <span style='color:#111;'> 5.06MB </span>","children":null,"spread":false},{"title":"Dynamic measurement of pennation angle of gastrocnemius muscles obtained from ultrasound images based on gradient Radon transform.pdf <span style='color:#111;'> 2.77MB </span>","children":null,"spread":false},{"title":"DirectPET Full Size Neural Network PET Reconstruction from.pdf <span style='color:#111;'> 2.94MB </span>","children":null,"spread":false},{"title":"Automatic Muscle Fiber Orientation Tracking in Ultrasound Images Using a New Adaptive Fading Bayesian Kalman Smoother.pdf <span style='color:#111;'> 5.22MB </span>","children":null,"spread":false},{"title":"Efficient Classification of Optical Modulation Formats Based on Singular Value Decomposition and Radon Transformation.pdf <span style='color:#111;'> 2.90MB </span>","children":null,"spread":false},{"title":"Detection and restoration of multi-directional motion blurred objects.pdf <span style='color:#111;'> 1.61MB </span>","children":null,"spread":false},{"title":"Radon Inversion via Deep Learning.pdf <span style='color:#111;'> 962.04KB </span>","children":null,"spread":false},{"title":"Preprocessing of multi-line structured light image based on Radon transformation and gray-scale transformation.pdf <span style='color:#111;'> 12.26MB </span>","children":null,"spread":false},{"title":"Blind Density-Peak-Based Modulation Format Identification for Elastic Optical Networks.pdf <span style='color:#111;'> 1.00MB </span>","children":null,"spread":false},{"title":"Radon cumulative distribution transform subspace modeling for image classification.pdf <span style='color:#111;'> 1.76MB </span>","children":null,"spread":false},{"title":"Estimation of Muscle Fascicle Orientation in Ultrasonic Images.pdf <span style='color:#111;'> 607.37KB </span>","children":null,"spread":false},{"title":"Deep-Learning-Based Segmentation of Small Extracellular Vesicles in Transmission Electron Microscopy Images.pdf <span style='color:#111;'> 1.78MB </span>","children":null,"spread":false},{"title":"Primary-multiple separation technique based on image radon transform.pdf <span style='color:#111;'> 17.11MB </span>","children":null,"spread":false},{"title":"A New Concept of Compton Scattering Tomography and the Development of the Corresponding Circular Radon Transform.pdf <span style='color:#111;'> 1.17MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]