Jian-Qing Zheng
Orcid: 0000-0002-1823-1419
According to our database1,
Jian-Qing Zheng
authored at least 29 papers
between 2018 and 2024.
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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
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation.
Medical Image Anal., 2024
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis.
CoRR, 2024
VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module.
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
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
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
Proceedings of the Shape in Medical Imaging - International Workshop, 2020
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
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
CoRR, 2018