Jian-Qing Zheng

Orcid: 0000-0002-1823-1419

According to our database1, Jian-Qing Zheng authored at least 26 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration.
Medical Image Anal., January, 2024

Bayesian Inference for Non-Linear Forward Model by Using a VAE-Based Neural Network Structure.
IEEE Trans. Signal Process., 2024

Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation.
CoRR, 2024

2023
Accurate volume alignment of arbitrarily oriented tibiae based on a mutual attention network for osteoarthritis analysis.
Comput. Medical Imaging Graph., June, 2023

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios.
CoRR, 2023

Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation.
CoRR, 2022

Residual Aligner Network.
CoRR, 2022

Recursive Deformable Image Registration Network with Mutual Attention.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

An Uncertainty-Aware Transformer for MRI Cardiac Semantic Segmentation via Mean Teachers.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
D-Net: Siamese based Network with Mutual Attention for Volume Alignment.
CoRR, 2021

Self-supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Deep Learning in Medical Ultrasound Image Segmentation: a Review.
CoRR, 2020

D-net: Siamese Based Network for Arbitrarily Oriented Volume Alignment.
Proceedings of the Shape in Medical Imaging - International Workshop, 2020

ACNN: a Full Resolution DCNN for Medical Image Segmentation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Real-Time 3-D Shape Instantiation for Partially Deployed Stent Segments From a Single 2-D Fluoroscopic Image in Fenestrated Endovascular Aortic Repair.
IEEE Robotics Autom. Lett., 2019

Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair.
CoRR, 2019

Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps.
CoRR, 2019

One-Stage Shape Instantiation from a Single 2D Image to 3D Point Cloud.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Towards 3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair.
CoRR, 2018

Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation.
CoRR, 2018

Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects.
CoRR, 2018


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