Tianyu Fu
According to our database1,
Tianyu Fu
authored at least 21 papers
between 2018 and 2021.
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Bibliography
2021
IEEE J. Biomed. Health Informatics, 2021
Four-Dimensional Wide-Field Ultrasound Reconstruction System With Sparse Respiratory Signal Matching.
IEEE Trans. Computational Imaging, 2021
2020
Medical Image Anal., 2020
Local Contractive Registration for Quantification of Tissue Shrinkage in Assessment of Microwave Ablation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the ICDSP 2020: 4th International Conference on Digital Signal Processing, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier.
IEEE J. Biomed. Health Informatics, 2019
Shortest path with backtracking based automatic layer segmentation in pathological retinal optical coherence tomography images.
Multim. Tools Appl., 2019
Semi-Supervised Automatic Segmentation of Layer and Fluid Region in Retinal Optical Coherence Tomography Images Using Adversarial Learning.
IEEE Access, 2019
2018
Neurocomputing, 2018
Sparse deformation prediction using Markove Decision Processes (MDP) for Non-rigid registration of MR image.
Comput. Methods Programs Biomed., 2018
Shortest Path with Backtracking Based Automatic Layer Segmentation in Pathological Retinal Optical Coherence Tomography.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Semi-Supervised Automatic Layer and Fluid Region Segmentation of Retinal Optical Coherence Tomography Images Using Adversarial Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Generative Adversarial Networks with Dense Connection for Optical Coherence Tomography Images Denoising.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018
Clustering-Oriented Multiple Convolutional Neural Networks for Optical Coherence Tomography Image Denoising.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018