Yinran Chen

Orcid: 0000-0001-8062-1859

According to our database1, Yinran Chen authored at least 34 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Localization and Local Motion Magnification of Pulsatile Regions in Endoscopic Surgery Videos.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023
Doppler and Pair-Wise Optical Flow Constrained 3D Motion Compensation for 3D Ultrasound Imaging.
IEEE Trans. Image Process., 2023

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures.
IEEE Trans. Computational Imaging, 2023

Hybrid Encoded Attention Networks for Accurate Pulmonary Artery-Vein Segmentation in Noncontrast CT Images.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

MixU-Net: Hybrid CNN-MLP Networks for Urinary Collecting System Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

A comparison of U-Net series for CT pancreas segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Dynamic attention deconvolutional single shot detector for polyp detection and classification in narrow-band imaging.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Cascade Transformer Encoded Boundary-Aware Multibranch Fusion Networks for Real-Time and Accurate Colonoscopic Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Densely encoded attention networks for accurate retinal layers segmentation in optical coherence tomography.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Towards a relation extractor U-shaped network for accurate pulmonary vessel segmentation in CT images.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

A Densely Connected Attention Spatiotemporal U-Net for Kidney and Renal Artery Segmentation in CT Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

DUP-Net: Double U-PoolFormer Networks for Renal Artery Segmentation in CT Urography.
Proceedings of the International Joint Conference on Neural Networks, 2023

Fully Automatic Cervical Vertebrae Segmentation Via Enhanced U<sup>2</sup>-Net.
Proceedings of the IEEE International Conference on Image Processing, 2023

Pyramid Transformer Driven Multibranch Fusion for Polyp Segmentation in Colonoscopic Video Images.
Proceedings of the IEEE International Conference on Image Processing, 2023

Enhanced U-Transformer Networks for Automatic Pulmonary Vessel Segmentation in Ct Images.
Proceedings of the IEEE International Conference on Image Processing, 2023

DGN: Descriptor Generation Network for Feature Matching in Monocular Endoscopy 3D Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Local-Global Progressive U-Transformers for Accurate Hepatic and Portal Veins Segmentation in Abdominal MR Images.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Triple-Supervision Learning Unannotated Surgical Endoscopic Video Data for Monocular Dense Depth Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
3D End-to-End Boundary-Aware Networks for Pancreas Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Residual U-Structure Nested Conditional Adversarial Nets Colorized CT Improves Deep Learning Based Abdominal Multi-Organ Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Comparative Evaluation of Feature Detectors and Descriptors for Monocular Endoscopic Sparse Depth Reconstruction.
Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022

Real-Time Robust Single Sperm Tracking via Adaptive Particle Filtering.
Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022

Towards A Relation Extractor Nested U-Architecture for Accurate Pulmonary Airway Segmentation in CT images.
Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022

Contrastive Translation Learning For Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Domain Adaptation with Dual U-DenseTransformer Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
ApodNet: Learning for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging.
IEEE Trans. Medical Imaging, 2021

Robotically Surgical Vessel Localization Using Robust Hybrid Video Motion Magnification.
IEEE Robotics Autom. Lett., 2021

Towards cascaded V-Net for automatic accurate kidney segmentation from abdominal CT images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

A new Eulerian temporal filtering method for boosting endoscopic video motion magnification.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

A Data-Driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Abdominal CT urography kidney segmentation using spatiotemporal fully convolutional network.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Accurate 3d Kidney Segmentation Using Unsupervised Domain Translation And Adversarial Networks.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Automatic Recognition of Ocular Surface Diseases on Smartphone Images Using Densely Connected Convolutional Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021


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