ArticleProceedings. IEEE International Symposium on Biomedical Imaging2021
DUAL-CYCLE CONSTRAINED BIJECTIVE VAE-GAN FOR TAGGED-TO-CINE MAGNETIC RESONANCE IMAGE SYNTHESIS.
Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Variance Extrapolated Class-Imbalance-Aware Domain Adaptive Myocardial Segmentation in Multi-Sequence Cardiac MRI.IEEE journal of biomedical and health informatics · 2026Article
- Uncover This Tech Term: Variational Autoencoders.Korean journal of radiology · 2025Article
- Robust deep MRI contrast synthesis using a prior-based and task-oriented 3D network.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Attentive continuous generative self-training for unsupervised domain adaptive medical image translation.Medical image analysis · 2023Article
- Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation.ArXiv · 2023Article
- Synthesizing Audio from Tongue Motion During Speech Using Tagged MRI Via Transformer.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022Article
- CMRI2SPEC: CINE MRI SEQUENCE TO SPECTROGRAM SYNTHESIS VIA A PAIRWISE HETEROGENEOUS TRANSLATOR.Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) · 2022Article
- SELF-SEMANTIC CONTOUR ADAPTATION FOR CROSS MODALITY BRAIN TUMOR SEGMENTATION.Proceedings. IEEE International Symposium on Biomedical Imaging · 2022Article
- Unsupervised Black-Box Model Domain Adaptation for Brain Tumor Segmentation.Frontiers in neuroscience · 2022Article
- Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2021Article
- Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2021Article
- Unsupervised Domain Adaptation for Segmentation with Black-box Source Model.Proceedings of SPIE--the International Society for Optical EngineeringArticle
- Measuring Strain in Diffusion-Weighted Data Using Tagged Magnetic Resonance Imaging.Proceedings of SPIE--the International Society for Optical EngineeringArticle
- Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
Tagged magnetic resonance imaging (MRI) is a widely used imaging technique for measuring tissue deformation in moving organs. Due to tagged MRI's intrinsic low anatomical resolution, another matching set of cine MRI with higher resolution is sometimes acquired in the same scanning session to facilitate tissue segmentation, thus adding extra time and cost. To mitigate this, in this work, we propose a novel dual-cycle constrained bijective VAE-GAN approach to carry out tagged-to-cine MR image synthesis. Our method is based on a variational autoencoder backbone with cycle reconstruction constrained adversarial training to yield accurate and realistic cine MR images given tagged MR images. Our framework has been trained, validated, and tested using 1,768, 416, and 1,560 subject-independent paired slices of tagged and cine MRI from twenty healthy subjects, respectively, demonstrating superior performance over the comparison methods. Our method can potentially be used to reduce the extra acquisition time and cost, while maintaining the same workflow for further motion analyses.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.