Jinming Duan
Orcid: 0000-0002-5108-2128Affiliations:
- University of Birmingham, UK
- Imperial College London, Biomedical Image Analysis Group, UK (2017 - 2019)
- University of Nottingham, School of Computer Science, UK (PhD 2017)
- Qingdao University, College of Information Engineering, China (former)
According to our database1,
Jinming Duan
authored at least 88 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., August, 2023
Pattern Recognit., May, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture.
CoRR, 2023
Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image Registration.
CoRR, 2023
Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Medical Imaging, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation in Bone Marrow Transplantation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
IEEE Trans. Cybern., 2021
Surrogate network-based sparseness hyper-parameter optimization for deep expression recognition.
Pattern Recognit., 2021
Nonlocal graph theory based transductive learning for hyperspectral image classification.
Pattern Recognit., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Medical Imaging, 2020
Efficient image structural similarity quality assessment method using image regularised feature.
IET Image Process., 2020
CoRR, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Image Process., 2019
Nat. Mach. Intell., 2019
Multim. Tools Appl., 2019
An efficient nonlocal variational method with application to underwater image restoration.
Neurocomputing, 2019
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction.
CoRR, 2019
Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction.
CoRR, 2019
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction.
CoRR, 2019
CoRR, 2019
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019
Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography.
CoRR, 2019
An Enhanced High-Order Variational Model Based on Speckle Noise Removal With $G^0$ Distribution.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Outlier-Suppressed Triplet Loss with Adaptive Class-Aware Margins for Facial Expression Recognition.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
Image Segmentation with Depth Information via Simplified Variational Level Set Formulation.
J. Math. Imaging Vis., 2018
IET Comput. Vis., 2018
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.
CoRR, 2018
Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
OCT Segmentation: Integrating Open Parametric Contour Model of the Retinal Layers and Shape Constraint to the Mumford-Shah Functional.
Proceedings of the Shape in Medical Imaging, 2018
Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.
Proceedings of the Shape in Medical Imaging, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance.
Pattern Recognit., 2017
Introducing diffusion tensor to high order variational model for image reconstruction.
Digit. Signal Process., 2017
Proceedings of the 20th International Conference on Information Fusion, 2017
2016
Digit. Signal Process., 2016
Digit. Signal Process., 2016
Automated Segmentation of Retinal Layers from Optical Coherent Tomography Images Using Geodesic Distance.
CoRR, 2016
Denoising optical coherence tomography using second order total generalized variation decomposition.
Biomed. Signal Process. Control., 2016
Proceedings of the 13th Web Information Systems and Applications Conference, 2016
2015
J. Glob. Optim., 2015
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015
Second Order Variational Model for Image Decomposition Using Split Bregman Algorithm.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015
Proceedings of the Advances in Image and Graphics Technologies - 10th Chinese Conference, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2014
Unsupervised Texture Segmentation Using Active Contour Model and Oscillating Information.
J. Appl. Math., 2014
EURASIP J. Image Video Process., 2014
2013
J. Softw., 2013
New Algorithm for Level Set Evolution without Re-initialization and Its Application to Variational Image Segmentation.
J. Softw., 2013
2012
A Variational Model for Multiphase Image Segmentation on an Implicit Open Surface and Its Fast Algorithms.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012