Guang Yang

Orcid: 0000-0001-7344-7733

Affiliations:
  • Imperial College London, National Heart and Lung Institute, UK
  • St. George's, University of London, Neuroscience Research Centre, UK
  • University College London, Computer Science and Medical Physics, UK (PhD 2012)


According to our database1, Guang Yang authored at least 216 papers between 2010 and 2025.

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Bibliography

2025
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba.
Medical Image Anal., 2025

Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion.
Neurocomputing, 2025

2024
Automated molecular structure segmentation from documents using ChemSAM.
J. Cheminformatics, December, 2024

Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach.
IEEE J. Biomed. Health Informatics, October, 2024

Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation.
IEEE Trans. Fuzzy Syst., October, 2024

Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Guest Editorial: Special Issue on the British Machine Vision Conference 2022.
Int. J. Comput. Vis., September, 2024

Automated Segmentation of Brain Gliomas in Multimodal MRI Data.
Int. J. Imaging Syst. Technol., July, 2024

SOCR-YOLO: Small Objects Detection Algorithm in Medical Images.
Int. J. Imaging Syst. Technol., July, 2024

Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey.
ACM Comput. Surv., July, 2024

Large-Kernel Attention for 3D Medical Image Segmentation.
Cogn. Comput., July, 2024

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Is Attention all You Need in Medical Image Analysis? A Review.
IEEE J. Biomed. Health Informatics, March, 2024

Dual consistency regularization with subjective logic for semi-supervised medical image segmentation.
Comput. Biol. Medicine, March, 2024

Deep learning based synthesis of MRI, CT and PET: Review and analysis.
Medical Image Anal., February, 2024

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism.
Inf. Sci., February, 2024

CCheXR-Attention: Clinical concept extraction and chest x-ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention.
Int. J. Imaging Syst. Technol., January, 2024

The Missing U for Efficient Diffusion Models.
Trans. Mach. Learn. Res., 2024

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
Medical Image Anal., 2024

Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation.
Medical Image Anal., 2024

Adaptive dynamic inference for few-shot left atrium segmentation.
Medical Image Anal., 2024

MLC: Multi-level consistency learning for semi-supervised left atrium segmentation.
Expert Syst. Appl., 2024

Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model.
CoRR, 2024

Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction.
CoRR, 2024

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction.
CoRR, 2024

McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis.
CoRR, 2024

Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review.
CoRR, 2024

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.
CoRR, 2024

Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba.
CoRR, 2024

When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI.
CoRR, 2024

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation.
CoRR, 2024

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI.
CoRR, 2024

Make it more specific: A novel uncertainty based airway segmentation application on 3D U-Net and its variants.
CoRR, 2024

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations.
CoRR, 2024

Distraction-aware hierarchical learning for vascular structure segmentation in intravascular ultrasound images.
Comput. Medical Imaging Graph., 2024

Customized T-time inner sampling network with uncertainty-aware data augmentation strategy for multi-annotated lesion segmentation.
Comput. Biol. Medicine, 2024

Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield.
Comput. Biol. Medicine, 2024

US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation.
Comput. Biol. Medicine, 2024

Unraveling the distinction between depression and anxiety: A machine learning exploration of causal relationships.
Comput. Biol. Medicine, 2024

Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method.
Artif. Intell. Medicine, 2024

Resp-BoostNet: Mental Stress Detection From Biomarkers Measurable by Smartwatches Using Boosting Neural Network Technique.
IEEE Access, 2024

Feedback Attention for Unsupervised Cardiac Motion Estimation in 3D Echocardiography.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

Dynamic Multimodal Information Bottleneck for Multimodality Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CIResDiff: A Clinically-Informed Residual Diffusion Model for Predicting Idiopathic Pulmonary Fibrosis Progression.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2024

DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Deep Asymmetric Mixture Model for Unsupervised Cell Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Vehicular Abandoned Object Detection Based on VANET and Edge AI in Road Scenes.
IEEE Trans. Intell. Transp. Syst., December, 2023

Multi-site, Multi-domain Airway Tree Modeling.
Medical Image Anal., December, 2023

Prompt learning for metonymy resolution: Enhancing performance with internal prior knowledge of pre-trained language models.
Knowl. Based Syst., November, 2023

ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification.
Neurocomputing, November, 2023

HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis.
IEEE J. Biomed. Health Informatics, October, 2023

Adversarial Transformer for Repairing Human Airway Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023

Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation.
Neural Comput. Appl., October, 2023

Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations.
IEEE Trans. Medical Imaging, September, 2023

Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation.
IEEE Trans. Cybern., September, 2023

Corrigendum to 'Human treelike tubular structure segmentation: A comprehensive review and future perspectives'[Comput. Biol. Med., Vol.151 (Pt A), 2022, p.106241-106241].
Comput. Biol. Medicine, September, 2023

AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus.
Neural Comput. Appl., August, 2023

Navigating the development challenges in creating complex data systems.
Nat. Mac. Intell., July, 2023

Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics.
Int. J. Imaging Syst. Technol., July, 2023

Deep anatomy learning for lung airway and artery-vein modeling with contrast-enhanced CT synthesis.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI.
IEEE Trans. Medical Imaging, June, 2023

Motion estimation based on projective information disentanglement for 3D reconstruction of rotational coronary angiography.
Comput. Biol. Medicine, May, 2023

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
J. Digit. Imaging, April, 2023

Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals.
Comput. Biol. Medicine, February, 2023

Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT.
IEEE J. Biomed. Health Informatics, 2023

Mutually aided uncertainty incorporated dual consistency regularization with pseudo label for semi-supervised medical image segmentation.
Neurocomputing, 2023

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
CoRR, 2023

Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation.
CoRR, 2023

Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19.
CoRR, 2023

High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging.
CoRR, 2023

Beyond U: Making Diffusion Models Faster & Lighter.
CoRR, 2023

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.
CoRR, 2023

SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis.
CoRR, 2023

Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery.
CoRR, 2023

Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation.
CoRR, 2023

Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study.
CoRR, 2023

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation.
CoRR, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
CoRR, 2023

Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation.
CoRR, 2023

A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning.
CoRR, 2023

T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

High Accuracy and Cost-Saving Active Learning: 3D WD-UNet for Airway Segmentation.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Is Autoencoder Truly Applicable for 3d CT Super-Resolution?
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ViGU: Vision GNN U-Net for fast MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus?
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Annealing Genetic GAN for Imbalanced Web Data Learning.
IEEE Trans. Multim., 2022

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network.
IEEE Trans. Medical Imaging, 2022

Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data.
IEEE Trans. Medical Imaging, 2022

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets.
IEEE J. Biomed. Health Informatics, 2022

Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis.
Sensors, 2022

Automatic fine-grained glomerular lesion recognition in kidney pathology.
Pattern Recognit., 2022

AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis.
Proc. IEEE, 2022

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond.
Inf. Fusion, 2022

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf. Fusion, 2022

Swin transformer for fast MRI.
Neurocomputing, 2022

Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal.
CoRR, 2022

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.
CoRR, 2022

AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus.
CoRR, 2022

Quantifying the impact of Pyramid Squeeze Attention mechanism and filtering approaches on Alzheimer's disease classification.
Comput. Biol. Medicine, 2022

Human treelike tubular structure segmentation: A comprehensive review and future perspectives.
Comput. Biol. Medicine, 2022

3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework.
BMC Medical Imaging, 2022

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.
Appl. Soft Comput., 2022

Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information.
Appl. Intell., 2022

Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

LKAU-Net: 3D Large-Kernel Attention-Based U-Net for Automatic MRI Brain Tumor Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

CS<sup>2</sup>: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans.
Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Fast MRI Reconstruction: How Powerful Transformers Are?
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multiparameter Synchronous Measurement With IVUS Images for Intelligently Diagnosing Coronary Cardiac Disease.
IEEE Trans. Instrum. Meas., 2021

Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation.
IEEE Trans. Ind. Informatics, 2021

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis.
Inf. Fusion, 2021

Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis.
Inf. Fusion, 2021

ME-Net: Multi-encoder net framework for brain tumor segmentation.
Int. J. Imaging Syst. Technol., 2021

Arbitrary Scale Super-Resolution for Medical Images.
Int. J. Neural Syst., 2021

AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis.
CoRR, 2021

Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation.
CoRR, 2021

Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives.
CoRR, 2021

MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution.
CoRR, 2021

Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging - Mini Review, Comparison and Perspectives.
CoRR, 2021

Recent advances in artificial intelligence for cardiac imaging.
Comput. Medical Imaging Graph., 2021

FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution.
Comput. Medical Imaging Graph., 2021

Transfer learning enhanced generative adversarial networks for multi-channel MRI reconstruction.
Comput. Biol. Medicine, 2021

3D PBV-Net: An automated prostate MRI data segmentation method.
Comput. Biol. Medicine, 2021

High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network With Attention and Cyclic Loss.
IEEE Access, 2021

Automated multi-channel segmentation for the 4D myocardial velocity mapping cardiac MR.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

DHQN: a Stable Approach to Remove Target Network from Deep Q-learning Network.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Temporal Cue Guided Video Highlight Detection with Low-Rank Audio-Visual Fusion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning.
IEEE Trans. Medical Imaging, 2020

SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT.
IEEE Trans. Ind. Informatics, 2020

Deep RetinaNet for Dynamic Left Ventricle Detection in Multiview Echocardiography Classification.
Sci. Program., 2020

A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images.
PeerJ Comput. Sci., 2020

Salient Object Detection in the Distributed Cloud-Edge Intelligent Network.
IEEE Netw., 2020

Atrial scar quantification via multi-scale CNN in the graph-cuts framework.
Medical Image Anal., 2020

SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
Frontiers Neuroinformatics, 2020

Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst., 2020

MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis.
Comput. Biol. Medicine, 2020

Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images.
IEEE Access, 2020

Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation.
IEEE Access, 2020

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images.
IEEE Access, 2020

Automating the ABCD Rule for Melanoma Detection: A Survey.
IEEE Access, 2020

Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Annealing Genetic GAN for Minority Oversampling.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Medical Image Anal., 2019

MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks.
CoRR, 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention.
IEEE Access, 2019

Lesion focused super-resolution.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Direct Quantification for Coronary Artery Stenosis Using Multiview Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Discriminative Consistent Domain Generation for Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

How Can We Make Gan Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
IEEE Trans. Medical Imaging, 2018

Atrial scars segmentation via potential learning in the graph-cuts framework.
CoRR, 2018

A two-stage 3D Unet framework for multi-class segmentation on full resolution image.
CoRR, 2018

Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels<sup>#</sup>.
Comput. Methods Programs Biomed., 2018

Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Deep Learning intra-image and inter-images features for Co-saliency detection.
Proceedings of the British Machine Vision Conference 2018, 2018

Holistic and Deep Feature Pyramids for Saliency Detection.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Deep De-Aliasing for Fast Compressive Sensing MRI.
CoRR, 2017

Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.
CoRR, 2017

Deep Poincare Map For Robust Medical Image Segmentation.
CoRR, 2017

Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI.
Int. J. Comput. Assist. Radiol. Surg., 2017

Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

2015
Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy.
IEEE Trans. Biomed. Eng., 2015

2014
Brain Tumour Grading in Different MRI Protocols using SVM on Statistical Features.
Proceedings of the Medical Image Understanding and Analysis, 2014

Classification of brain tumour <sup>1</sup>H MR spectra: Extracting features by metabolite quantification or nonlinear manifold learning?
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis.
CoRR, 2013

2012
Numerical approaches for solving the combined reconstruction and registration of digital breast tomosynthesis.
PhD thesis, 2012

Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis.
Proceedings of the Breast Imaging, 2012

2010
Combined Reconstruction and Registration of Digital Breast Tomosynthesis.
Proceedings of the Digital Mammography, 2010


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