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Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography.

, , , , and . IEEE Access, (2020)

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Maximum a posteriori estimation method for aorta localization and coronary seed identification., , , , , , , , and . Pattern Recognit., (2017)Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks., , , , , , , and . IEEE Access, (2023)Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images., , , , and . SASHIMI@MICCAI, volume 11037 of Lecture Notes in Computer Science, page 100-110. Springer, (2018)JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech., , and . INTERSPEECH, page 21-25. ISCA, (2022)Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images., , , , , , , and . Comput. Biol. Medicine, (2022)Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images., , , and . Entropy, 23 (1): 64 (2021)Intelli-Z: Toward Intelligible Zero-Shot TTS., , , and . CoRR, (2024)Pitchtron: Towards audiobook generation from ordinary people's voices., and . CoRR, (2020)Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography., , , , and . IEEE Access, (2020)Neural voice cloning with a few low-quality samples., and . CoRR, (2020)