Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects. - Jian-Qing Zheng; Xiao-Yun Zhou 001; Qing-Biao Li; Celia V. Riga; Guang-Zhong Yang (CoRR, 2018)

Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation. - Qing-Biao Li; Xiao-Yun Zhou 001; Jianyu Lin; Jian-Qing Zheng; Neil T. Clancy; Daniel S. Elson (CoRR, 2018)

3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair. - Jian-Qing Zheng; Xiao-Yun Zhou 001; Celia V. Riga; Guang-Zhong Yang (CoRR, 2018)

Towards 3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair. - Jian-Qing Zheng; Xiao-Yun Zhou 001; Celia V. Riga; Guang-Zhong Yang (ICRA, 2019)

One-Stage Shape Instantiation from a Single 2D Image to 3D Point Cloud. - Xiao-Yun Zhou 001; Zhao-Yang Wang; Peichao Li; Jian-Qing Zheng; Guang-Zhong Yang (MICCAI (4), 2019)

Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps. - Xiao-Yun Zhou 001; Jian-Qing Zheng; Guang-Zhong Yang (CoRR, 2019)

Real-time 3D Shape Instantiation for Partially-deployed Stent Segment from a Single 2D Fluoroscopic Image in Robot-assisted Fenestrated Endovascular Aortic Repair. - Jian-Qing Zheng; Xiao-Yun Zhou 001; Guang-Zhong Yang (CoRR, 2019)

Real-Time 3-D Shape Instantiation for Partially Deployed Stent Segments From a Single 2-D Fluoroscopic Image in Fenestrated Endovascular Aortic Repair. - Jian-Qing Zheng; Xiao-Yun Zhou 001; Celia V. Riga; Guang-Zhong Yang (IEEE Robotics Autom. Lett., 2019)

ACNN: a Full Resolution DCNN for Medical Image Segmentation. - Xiao-Yun Zhou 001; Jian-Qing Zheng; Peichao Li; Guang-Zhong Yang (ICRA, 2020)

D-net: Siamese Based Network for Arbitrarily Oriented Volume Alignment. - Jian-Qing Zheng; Ngee Han Lim; Bartlomiej W. Papiez (ShapeMI@MICCAI, 2020)

Deep Learning in Medical Ultrasound Image Segmentation: a Review. - Ziyang Wang; Zhengdong Zhang; Jian-Qing Zheng; Baoru Huang; Irina Voiculescu; Guang-Zhong Yang (CoRR, 2020)

Self-supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images. - Baoru Huang; Jian-Qing Zheng; Anh Nguyen 003; David Tuch; Kunal Vyas; Stamatia Giannarou; Daniel S. Elson (MICCAI (4), 2021)

D-Net: Siamese based Network with Mutual Attention for Volume Alignment. - Jian-Qing Zheng; Ngee Han Lim; Bartlomiej W. Papiez (CoRR, 2021)

H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry. - Baoru Huang; Jian-Qing Zheng; Stamatia Giannarou; Daniel S. Elson (CVPR Workshops, 2022)

When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation. - Ziyang Wang; Tianze Li; Jian-Qing Zheng; Baoru Huang (ECCV Workshops (7), 2022)

Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency. - Baoru Huang; Jian-Qing Zheng; Anh Nguyen 003; Chi Xu; Ioannis Gkouzionis; Kunal Vyas; David Tuch; Stamatia Giannarou; Daniel S. Elson (MICCAI (8), 2022)

An Uncertainty-Aware Transformer for MRI Cardiac Semantic Segmentation via Mean Teachers. - Ziyang Wang; Jian-Qing Zheng; Irina Voiculescu (MIUA, 2022)

Recursive Deformable Image Registration Network with Mutual Attention. - Jian-Qing Zheng; Ziyang Wang; Baoru Huang; Tonia Vincent; Ngee Han Lim; Bartlomiej W. Papiez (MIUA, 2022)

Residual Aligner Network. - Jian-Qing Zheng; Ziyang Wang; Baoru Huang; Ngee Han Lim; Bartlomiej W. Papiez (CoRR, 2022)

A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation. - Yu Chen; Xu Cao; Xiaoyi Lin; Baoru Huang; Xiao-Yun Zhou 001; Jian-Qing Zheng; Guang-Zhong Yang (CoRR, 2022)

Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image Segmentation. - Ziyang Wang; Meiwen Su; Jian-Qing Zheng; Yang Liu (ICIP, 2023)

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios. - Kaichen Zhou; Jia-Xing Zhong; Jia-Wang Bian; Qian Xie 001; Jian-Qing Zheng; Niki Trigoni; Andrew Markham (CoRR, 2023)

Accurate volume alignment of arbitrarily oriented tibiae based on a mutual attention network for osteoarthritis analysis. - Jian-Qing Zheng; Ngee Han Lim; Bartlomiej W. Papiez (Comput. Medical Imaging Graph., 2023)

Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation. - Ziyang Wang; Jian-Qing Zheng; Yichi Zhang; Ge Cui; Lei Li (CoRR, 2024)

VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module. - Ziyang Wang; Jian-Qing Zheng; Chao Ma; Tao Guo (CoRR, 2024)

Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis. - Jian-Qing Zheng; Yuanhan Mo; Yang Sun 003; Jiahua Li; Fuping Wu; Ziyang Wang; Tonia Vincent; Bartlomiej W. Papiez (CoRR, 2024)

Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. - Yuanhan Mo; Fangde Liu; Guang Yang 006; Shuo Wang 011; Jian-Qing Zheng; Fuping Wu; Bartlomiej W. Papiez; Douglas McIlwraith; Taigang He; Yike Guo (Medical Image Anal., 2024)

Bayesian Inference for Non-Linear Forward Model by Using a VAE-Based Neural Network Structure. - Yechuan Zhang; Jian-Qing Zheng; Michael A. Chappell (IEEE Trans. Signal Process., 2024)

Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration. - Jian-Qing Zheng; Ziyang Wang; Baoru Huang; Ngee Han Lim; Bartlomiej W. Papiez (Medical Image Anal., 2024)

Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes. - Kaichen Zhou; Jia-Wang Bian; Jian-Qing Zheng; Jia-Xing Zhong; Qian Xie 001; Niki Trigoni; Andrew Markham (IEEE Robotics Autom. Lett., 2025)