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DOVE: Doodled vessel enhancement for photoacoustic angiography super resolution

Medical image analysis, 2024-05, Vol.94, p.103106-103106, Article 103106

2024

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Multi-detector fusion and Bayesian smoothing for tracking viral and chromatin structures

Medical image analysis, 2024-10, Vol.97, p.103227, Article 103227

2024

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Deep probabilistic tracking of particles in fluorescence microscopy images

Medical image analysis, 2021-08, Vol.72, p.102128-102128, Article 102128

2021

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Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images

Medical image analysis, 2021-10, Vol.73, p.102168-102168, Article 102168

2021

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Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequences

Medical image analysis, 2009-04, Vol.13 (2), p.325-342

2009

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Consistent segmentation using a Rician classifier

Medical image analysis, 2012-02, Vol.16 (2), p.524-535

2012

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BIAS: Transparent reporting of biomedical image analysis challenges

Medical image analysis, 2020-12, Vol.66, p.101796-101796, Article 101796

2020

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BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Medical image analysis, 2021-12, Vol.74, p.102233-102233, Article 102233

2021

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Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative

Medical image analysis, 2019-02, Vol.52, p.109-118

2019

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Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

Medical image analysis, 2020-07, Vol.63, p.101694-101694, Article 101694

2020

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Evaluating reinforcement learning agents for anatomical landmark detection

Medical image analysis, 2019-04, Vol.53, p.156-164

2019

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Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Medical image analysis, 2017-02, Vol.36, p.61-78

2017

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A deep learning framework for unsupervised affine and deformable image registration

Medical image analysis, 2019-02, Vol.52, p.128-143

2019

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Self-supervised learning for medical image analysis using image context restoration

Medical image analysis, 2019-12, Vol.58, p.101539, Article 101539

2019

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Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

Medical image analysis, 2020-10, Vol.65, p.101794-101794, Article 101794

2020

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Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease

Medical image analysis, 2020-02, Vol.60, p.101625-101625, Article 101625

2020

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Accurate brain age prediction with lightweight deep neural networks

Medical image analysis, 2021-02, Vol.68, p.101871-101871, Article 101871

2021

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A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Medical image analysis, 2021-01, Vol.67, p.101832-101832, Article 101832

2021

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Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

Medical image analysis, 2018-08, Vol.48, p.117-130

2018

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Learning normalized inputs for iterative estimation in medical image segmentation

Medical image analysis, 2018-02, Vol.44, p.1-13

2018

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Brain tumor segmentation with Deep Neural Networks

Medical image analysis, 2017-01, Vol.35, p.18-31

2017

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The Liver Tumor Segmentation Benchmark (LiTS)

Medical image analysis, 2023-02, Vol.84, p.102680, Article 102680

2023

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ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

Medical image analysis, 2017-01, Vol.35, p.250-269

2017

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TransMorph: Transformer for unsupervised medical image registration

Medical image analysis, 2022-11, Vol.82, p.102615-102615, Article 102615

2022

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DOVE: Doodled vessel enhancement for photoacoustic angiography super resolution

Multi-detector fusion and Bayesian smoothing for tracking viral and chromatin structures

Deep probabilistic tracking of particles in fluorescence microscopy images

Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images

Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequences

Consistent segmentation using a Rician classifier

BIAS: Transparent reporting of biomedical image analysis challenges

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

Evaluating reinforcement learning agents for anatomical landmark detection

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

A deep learning framework for unsupervised affine and deformable image registration

Self-supervised learning for medical image analysis using image context restoration

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease

Accurate brain age prediction with lightweight deep neural networks

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

Learning normalized inputs for iterative estimation in medical image segmentation

Brain tumor segmentation with Deep Neural Networks

The Liver Tumor Segmentation Benchmark (LiTS)

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

TransMorph: Transformer for unsupervised medical image registration

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