The Manifold Scattering Transform for High-Dimensional Point Cloud Data.
Chew J, Steach H, Viswanath S, Wu H, Hirn M, Needell D, Krishnaswamy S, Perlmutter M. The Manifold Scattering Transform for High-Dimensional Point Cloud Data. Proceedings Of Machine Learning Research 2022, 196: 67-78. PMID: 37159759, PMCID: PMC10164360.Peer-Reviewed Original ResearchDeep feature extractorDimensional point cloud dataPoint cloud dataHigh-dimensional point cloudsFeature extractorClassification taskCloud dataPoint cloudsLow-dimensional manifoldScattering transformSignal classificationPractical schemeDiffusion mapsInitial workNaturalistic systemExtractorDatasetCloudInvariance propertiesTransformTaskStructure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement
Liu X, Xing F, Prince J, Stone M, El Fakhri G, Woo J. Structure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement. Proceedings Of SPIE--the International Society For Optical Engineering 2022, 12032: 120321q-120321q-7. PMID: 36203947, PMCID: PMC9533681, DOI: 10.1117/12.2610655.Peer-Reviewed Original ResearchStructure feature extractorImage style transferSelf-training schemeStyle transferFeature extractorAdversarial gameSynthesized imagesInformation w.Superior performanceStructural consistencyTask-specificCycle reconstructionStructural encodingImagesDiscoGANCycleGANEncodingExtractorExtraction stepNetworkSchemeGameInput
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply