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Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019

Translational psychiatry, 2020-09, Vol.10 (1), p.333-333, Article 333

2020

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Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery

BMC bioinformatics, 2023-01, Vol.24 (1), p.9-9, Article 9

2023

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Eye-tracking correlates of response to joint attention in preschool children with autism spectrum disorder

BMC psychiatry, 2023-03, Vol.23 (1), p.211-17, Article 211

2023

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Transient wall shear stress estimation in coronary bifurcations using convolutional neural networks

Computer methods and programs in biomedicine, 2022-10, Vol.225, p.107013-107013, Article 107013

2022

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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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Imbalanced classification for protein subcellular localization with multilabel oversampling

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

2023

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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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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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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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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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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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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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Building change detection from remotely sensed images based on spatial domain analysis and Markov random field

Journal of applied remote sensing, 2019-05, Vol.13 (2), p.1

2019

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Automated Brain Tumour Segmentation Using Cascaded 3D Densely-Connected U-Net

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.481-491

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Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases

Clinical and experimental optometry, 2024-03, Vol.107 (2), p.130-146

2024

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Deep fusion pipeline for mild cognitive impairment diagnosis

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.1394-1997

2018

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Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.409-419

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Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.592-601

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Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019

Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery

Eye-tracking correlates of response to joint attention in preschool children with autism spectrum disorder

Transient wall shear stress estimation in coronary bifurcations using convolutional neural networks

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

Imbalanced classification for protein subcellular localization with multilabel oversampling

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

Towards automated coronary artery segmentation: A systematic review

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

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

Drusen‐aware model for age‐related macular degeneration recognition

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

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

Building change detection from remotely sensed images based on spatial domain analysis and Markov random field

Automated Brain Tumour Segmentation Using Cascaded 3D Densely-Connected U-Net

Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases

Deep fusion pipeline for mild cognitive impairment diagnosis

Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning

Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images

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