Guang Yang
Orcid: 0000-0001-7344-7733Affiliations:
- 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 162 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
J. Cheminformatics, December, 2024
IEEE J. Biomed. Health Informatics, March, 2024
Dual consistency regularization with subjective logic for semi-supervised medical image segmentation.
Comput. Biol. Medicine, March, 2024
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
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
IEEE Trans. Intell. Transp. Syst., 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
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
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
IEEE Trans. Medical Imaging, June, 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
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
SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis.
CoRR, 2023
CoRR, 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study.
CoRR, 2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
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
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
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
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
Pattern Recognit., 2022
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
Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal.
CoRR, 2022
CoRR, 2022
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
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
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
Int. J. Imaging Syst. Technol., 2021
CoRR, 2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images.
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
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging - Mini Review, Comparison and Perspectives.
CoRR, 2021
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
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
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
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
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
IEEE Netw., 2020
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
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images.
CoRR, 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
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
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
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
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
CoRR, 2018
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
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
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.
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
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
Proceedings of the Breast Imaging, 2012
2010
Proceedings of the Digital Mammography, 2010