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Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency

IEEE transactions on medical imaging, 2023-05, Vol.42 (5), p.1401-1412

2023

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Offshore Underwater Image Restoration Using Reflection-Decomposition-Based Transmission Map Estimation

IEEE journal of oceanic engineering, 2020-04, Vol.45 (2), p.521-533

2020

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ERL-Net: Entangled Representation Learning for Single Image De-Raining

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.5643-5651

2019

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Super-Resolution Phase Retrieval Network for Single-Pattern Structured Light 3D Imaging

IEEE transactions on image processing, 2023-01, Vol.32, p.537-549

2023

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Imbalanced classification for protein subcellular localization with multilabel oversampling

Bioinformatics (Oxford, England), 2023-01, Vol.39 (1)

2023

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Corner detection based on shearlet transform and multi-directional structure tensor

Pattern recognition, 2020-07, Vol.103, p.107299, Article 107299

2020

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Robust Automated Tumour Segmentation Network Using 3D Direction-Wise Convolution and Transformer

Journal of Imaging Informatics in Medicine, 2024-10, Vol.37 (5), p.2444-2453

2024

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Efficient masked feature and group attention network for stereo image super-resolution

Image and vision computing, 2024-11, Vol.151, p.105252, Article 105252

2024

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Learning a Compact Vein Discrimination Model With GANerated Samples

IEEE transactions on information forensics and security, 2020, Vol.15, p.635-650

2020

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Towards automated coronary artery segmentation: A systematic review

Computer methods and programs in biomedicine, 2022-10, Vol.225, p.107015-107015, Article 107015

2022

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Half and full solar cell efficiency binning by deep learning on electroluminescence images

Progress in photovoltaics, 2022-03, Vol.30 (3), p.276-287

2022

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Radiological Diagnosis of Chronic Liver Disease and Hepatocellular Carcinoma: A Review

Journal of medical systems, 2023-07, Vol.47 (1), p.73-73, Article 73

2023

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AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images

Artificial intelligence in medicine, 2024-08, Vol.154, p.102917, Article 102917

2024

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Deep learning for segmentation in radiation therapy planning: a review

Journal of medical imaging and radiation oncology, 2021-08, Vol.65 (5), p.578-595

2021

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A Federated Learning System for Histopathology Image Analysis with an Orchestral Stain-Normalization GAN

IEEE transactions on medical imaging, 2023-07, Vol.42 (7), p.1-1

2023

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Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods

Briefings in bioinformatics, 2022-09, Vol.23 (5)

2022

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Multi-level classification of emphysema in HRCT lung images

Pattern analysis and applications : PAA, 2009-02, Vol.12 (1), p.9-20

2009

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A Multi-scale Context aware Attention Model for Medical Image Segmentation

IEEE journal of biomedical and health informatics, 2023-08, Vol.27 (8), p.1-10

2023

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Drusen‐aware model for age‐related macular degeneration recognition

Ophthalmic & physiological optics, 2023-07, Vol.43 (4), p.668-679

2023

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BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion

IEEE journal of biomedical and health informatics, 2024-09, Vol.28 (9), p.5290-5302

2024

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Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images

Magnetic resonance imaging, 2022-02, Vol.86, p.28-36

2022

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Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality

Information fusion, 2024-02, Vol.102, p.102061, Article 102061

2024

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TSDNET: A Tumour Segmentation Network with 3D Direction-Wise Convolution

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-5

2023

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Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-5

2022

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Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings

Artificial intelligence in medicine, 2022-01, Vol.123, p.102230-102230, Article 102230

2022

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Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency

Offshore Underwater Image Restoration Using Reflection-Decomposition-Based Transmission Map Estimation

ERL-Net: Entangled Representation Learning for Single Image De-Raining

Super-Resolution Phase Retrieval Network for Single-Pattern Structured Light 3D Imaging

Imbalanced classification for protein subcellular localization with multilabel oversampling

Corner detection based on shearlet transform and multi-directional structure tensor

Robust Automated Tumour Segmentation Network Using 3D Direction-Wise Convolution and Transformer

Efficient masked feature and group attention network for stereo image super-resolution

Learning a Compact Vein Discrimination Model With GANerated Samples

Towards automated coronary artery segmentation: A systematic review

Half and full solar cell efficiency binning by deep learning on electroluminescence images

Radiological Diagnosis of Chronic Liver Disease and Hepatocellular Carcinoma: A Review

AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images

Deep learning for segmentation in radiation therapy planning: a review

A Federated Learning System for Histopathology Image Analysis with an Orchestral Stain-Normalization GAN

Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods

Multi-level classification of emphysema in HRCT lung images

A Multi-scale Context aware Attention Model for Medical Image Segmentation

Drusen‐aware model for age‐related macular degeneration recognition

BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion

Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images

Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality

TSDNET: A Tumour Segmentation Network with 3D Direction-Wise Convolution

Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets

Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings

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