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A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices

IEEE journal of biomedical and health informatics, 2017-01, Vol.21 (1), p.56-64

2017

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Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

PloS one, 2018-03, Vol.13 (3), p.e0193721-e0193721

2018

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An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation

Sensors (Basel, Switzerland), 2018-02, Vol.18 (2), p.430

2018

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Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy

Medical image analysis, 2019-04, Vol.53, p.123-131

2019

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Deep Learning for Health Informatics

IEEE journal of biomedical and health informatics, 2017-01, Vol.21 (1), p.4-21

2017

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Deep learning for human activity recognition: A resource efficient implementation on low-power devices

2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2016, p.71-76

2016

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An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets

Image Analysis and Processing – ICIAP 2022, p.358-367

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Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches

International journal for computer assisted radiology and surgery, 2020-07, Vol.15 (7), p.1167-1175

2020

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Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction

International journal for computer assisted radiology and surgery, 2018-06, Vol.13 (6), p.917-924

2018

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Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing

IEEE transactions on image processing, 2014-05, Vol.23 (5), p.2081-2095

2014

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Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging

IEEE transactions on medical imaging, 2017-09, Vol.36 (9), p.1845-1857

2017

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Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia

Medical image analysis, 2022-01, Vol.75, p.102257-102257, Article 102257

2022

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An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training

Medical image analysis, 2024-01, Vol.91, p.103033-103033, Article 103033

2024

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Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.164-172

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Aligning codebooks for near duplicate image detection

Multimedia tools and applications, 2014-09, Vol.72 (2), p.1483-1506

2014

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Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests

IEEE journal of biomedical and health informatics, 2020-11, Vol.24 (11), p.3066-3075

2020

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Augmenting cognitive assessment with instruction‐less eye‐tracking tests: A machine learning approach for detecting abnormal oculomotor biomarkers: Biomarkers: Searching for Alzheimer's through the eyes

Alzheimer's & dementia, 2020-12, Vol.16 (S4)

2020

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Augmenting cognitive assessment with instruction‐less Eye‐tracking tests: A machine learning approach for detecting abnormal oculomotor biomarkers

Alzheimer's & dementia, 2020-12, Vol.16, p.n/a

2020

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Augmenting cognitive assessment with instruction‐less Eye‐tracking tests: A machine learning approach for detecting abnormal oculomotor biomarkers: Mapping dementia: Technological methods to identify and interpret cognitive function

Alzheimer's & dementia, 2020-12, Vol.16 (S11)

2020

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Augmenting cognitive assessment with instruction‐less eye‐tracking tests: A machine learning approach for detecting abnormal oculomotor biomarkers

Alzheimer's & dementia, 2020-12, Vol.16, p.n/a

2020

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Current Applications and Future Promises of Machine Learning in Diffusion MRI

Computational Diffusion MRI, p.105-121

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Instant Scene Recognition on Mobile Platform

Computer Vision – ECCV 2012. Workshops and Demonstrations, p.655-658

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Red-Eyes Removal through Cluster-Based Boosting on Gray Codes

EURASIP journal on image and video processing, 2010-01, Vol.2010 (1), p.1-11

2010

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Content-aware image resizing with seam selection based on Gradient Vector Flow

2012 19th IEEE International Conference on Image Processing, 2012, p.2117-2120

2012

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A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy

Deep Learning for Health Informatics

Deep learning for human activity recognition: A resource efficient implementation on low-power devices

An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets

Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches

Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction

Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing

Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging

Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training

Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression

Aligning codebooks for near duplicate image detection

Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests

Augmenting cognitive assessment with instruction‐less eye‐tracking tests: A machine learning approach for detecting abnormal oculomotor biomarkers: Biomarkers: Searching for Alzheimer's through the eyes

Augmenting cognitive assessment with instruction‐less Eye‐tracking tests: A machine learning approach for detecting abnormal oculomotor biomarkers

Augmenting cognitive assessment with instruction‐less Eye‐tracking tests: A machine learning approach for detecting abnormal oculomotor biomarkers: Mapping dementia: Technological methods to identify and interpret cognitive function

Augmenting cognitive assessment with instruction‐less eye‐tracking tests: A machine learning approach for detecting abnormal oculomotor biomarkers

Current Applications and Future Promises of Machine Learning in Diffusion MRI

Instant Scene Recognition on Mobile Platform

Red-Eyes Removal through Cluster-Based Boosting on Gray Codes

Content-aware image resizing with seam selection based on Gradient Vector Flow

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