2024
Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer
Liu X, Xing F, Bian Z, Arias-Vergara T, Pérez-Toro P, Maier A, Stone M, Zhuo J, Prince J, Woo J. Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer. Lecture Notes In Computer Science 2024, 15007: 701-711. PMID: 39469302, PMCID: PMC11517403, DOI: 10.1007/978-3-031-72104-5_67.Peer-Reviewed Original ResearchSpatial-temporal transformationMotion analysis tasksSpatial-temporal correlationSequence synthesisNeighboring framesAnalysis tasksOccluded regionsMotion alignmentMotion sequencesTag fadingTraining parametersTag patternsTemporal informationTemporal consistencyEfficient frameworkTagged magnetic resonance imagingCine MRI dataCine MRI sequencesFine-tuningSuperior performanceSynthesis performanceSpatial-temporalAnalyze motionComparison methodFrame
2022
Cmri2spec: Cine MRI Sequence to Spectrogram Synthesis via A Pairwise Heterogeneous Translator
Liu X, Xing F, Stone M, Prince J, Kim J, El Fakhri G, Woo J. Cmri2spec: Cine MRI Sequence to Spectrogram Synthesis via A Pairwise Heterogeneous Translator. 2013 IEEE International Conference On Acoustics, Speech And Signal Processing 2022, 00: 1481-1485. PMID: 36212702, PMCID: PMC9544268, DOI: 10.1109/icassp43922.2022.9746381.Peer-Reviewed Original ResearchMultimodal representation learningAdversarial training approachCine MRI sequencesCNN encoderRepresentation learningConvolutional decoderAdversarial networkDataset sizeSequence encodingEnhance realismHeterogeneous translationSpeech wordsSynthesis frameworkTraining approachExperimental resultsEncodingSynthesis accuracySpectrogramFrameworkDecoding