Jinming Duan

Orcid: 0000-0002-5108-2128

Affiliations:
  • 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 92 papers between 2012 and 2024.

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Bibliography

2024
Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment.
Medical Image Anal., 2024

UniAV: Unified Audio-Visual Perception for Multi-Task Video Localization.
CoRR, 2024

Low Rank Groupwise Deformations for Motion Tracking in Cardiac Cine MRI.
CoRR, 2024

Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction.
CoRR, 2024

Rediscovering BCE Loss for Uniform Classification.
CoRR, 2024

Decoder-Only Image Registration.
CoRR, 2024

WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems.
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

Arbitrary Order Total Variation for Deformable Image Registration.
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

UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ACT-Net: Anchor-Context Action Detection in Surgery Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

UniFace: Unified Cross-Entropy Loss for Deep Face Recognition.
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

AVS-Net: Attention-based Variable Splitting Network for P-MRI Acceleration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Fourier-Net: Fast Image Registration with Band-Limited Deformation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning a Model-Driven Variational Network for Deformable Image Registration.
IEEE Trans. Medical Imaging, 2022

U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?
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

DVS-Net: Dual-domain Variable Splitting Network for Accelerated Parallel MRI Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Adaptive Weighting of Handcrafted Feature Losses for Facial Expression Recognition.
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

Accelerated First Order Methods for Variational Imaging.
CoRR, 2021

Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.
IEEE Trans. Medical Imaging, 2020

Efficient image structural similarity quality assessment method using image regularised feature.
IET Image Process., 2020

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction.
CoRR, 2020

PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

One-stage Multi-task Detector for 3D Cardiac MR Imaging.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Geometry Constrained Weakly Supervised Object Localization.
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

Parameter-Free Selective Segmentation With Convex Variational Methods.
IEEE Trans. Image Process., 2019

Deep-learning cardiac motion analysis for human survival prediction.
Nat. Mach. Intell., 2019

Undersampled CS image reconstruction using nonconvex nonsmooth mixed constraints.
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

Deep learning for cardiac image segmentation: A review.
CoRR, 2019

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction.
CoRR, 2019

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance.
CoRR, 2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019

A new nonlocal forward model for diffuse optical tomography.
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

Speckle Noise Removal Convex Method Using Higher-Order Curvature Variation.
IEEE Access, 2019

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation.
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

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.
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

Local Normalization Based BN Layer Pruning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018
Variational and PDE-based methods for image processing.
PhD thesis, 2018

Image Segmentation with Depth Information via Simplified Variational Level Set Formulation.
J. Math. Imaging Vis., 2018

Open snake model based on global guidance field for embryo vessel location.
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

Bayesian Deep Learning for Accelerated MR Image Reconstruction.
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
Novel Methods for Microglia Segmentation, Feature Extraction, and Classification.
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

Single-image blind deblurring with hybrid sparsity regularization.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
Retinex theory based active contour model for segmentation of inhomogeneous images.
Digit. Signal Process., 2016

An edge-weighted second order variational model for image decomposition.
Digit. Signal Process., 2016

Tensor Based Second Order Variational Model for Image Reconstruction.
CoRR, 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

Some Nonlocal Variational Models Along with Their Fast Algorithms.
Proceedings of the 13th Web Information Systems and Applications Conference, 2016

2015
Fast algorithm for color texture image inpainting using the non-local CTV model.
J. Glob. Optim., 2015

Surface Reconstruction from Point Clouds Using a Novel Variational Model.
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

Nonlocal Mumford-Shah Model for Multiphase Texture Image Segmentation.
Proceedings of the Advances in Image and Graphics Technologies - 10th Chinese Conference, 2015

Optical coherence tomography image segmentation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Second order Mumford-Shah model for image denoising.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Face Recognition Despite Wearing Glasses.
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

Some fast projection methods based on Chan-Vese model for image segmentation.
EURASIP J. Image Video Process., 2014

2013
SAR Image Segmentation Based on Fuzzy Region Competition Method and Gamma Model.
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


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