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Computational Diffusion MRI: 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

1st ed. 2023., 2024

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Neuroanatomical substrates of generalized brain dysfunction in COVID-19

Intensive care medicine, 2021-01, Vol.47 (1), p.116-118

2021

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Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies

Scientific reports, 2022-11, Vol.12 (1), p.18733-11, Article 18733

2022

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Sensitivity of Diffusion MRI to White Matter Pathology: Influence of Diffusion Protocol, Magnetic Field Strength, and Processing Pipeline in Systemic Lupus Erythematosus

Frontiers in neurology, 2022-04, Vol.13, p.837385-837385

2022

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Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort

Neuroimage. Reports, 2022-12, Vol.2 (4), p.None-None, Article 100136

2022

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Presurgical diffusion metrics of the thalamus and thalamic nuclei in postoperative delirium: A prospective two-centre cohort study in older patients

NeuroImage clinical, 2022-01, Vol.36, p.103208-103208, Article 103208

2022

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Automatic localisation and per-region quantification of traumatic brain injury on head CT using atlas mapping

European journal of radiology Open, 2023-01, Vol.10, p.100491-100491, Article 100491

2023

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A critical period for postnatal adaptive plasticity in a model of motor axon miswiring

PloS one, 2015-04, Vol.10 (4), p.e0123643-e0123643

2015

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Algorithmic encoding of protected characteristics in chest X-ray disease detection models

EBioMedicine, 2023-03, Vol.89, p.104467-104467, Article 104467

2023

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Risk of Bias in Chest Radiography Deep Learning Foundation Models

Radiology. Artificial intelligence, 2023-11, Vol.5 (6), p.e230060-e230060

2023

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

2017

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Deep Learning‐Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies

Investigative radiology, 2021-06, Vol.56 (6), p.401-408

2021

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Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge

Stroke (1970), 2021-07, Vol.52 (7), p.2328-2337

2021

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Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.231-243, Article 231

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Algorithmic encoding of protected characteristics in chest X-ray disease detection modelsResearch in context

EBioMedicine, 2023-03, Vol.89, p.104467

2023

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Post-acute blood biomarkers and disease progression in traumatic brain injury

Brain (London, England : 1878), 2022-06, Vol.145 (6), p.2064-2076

2022

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DeepMedic for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.138-149

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Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle

Computational Diffusion MRI, 2023, Vol.14328, p.70-79

2023

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The trouble with free-water elimination using single-shell diffusion MRI data: A case study in ageing

Imaging neuroscience (Cambridge, Mass.), 2024-08, Vol.2, p.1-17

2024

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Metabolic derangements are associated with impaired glucose delivery following traumatic brain injury

Brain (London, England : 1878), 2021-12, Vol.144 (11), p.3492-3504

2021

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Computational Diffusion MRI: 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

2024

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Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.75-87

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93 Acute magnetic resonance imaging for mild traumatic brain injury

Emergency medicine journal : EMJ, 2020-12, Vol.37 (12), p.840-840

2020

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Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data

Stroke (1970), 2019-07, Vol.50 (7), p.1734-1741

2019

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Computational Diffusion MRI: 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Neuroanatomical substrates of generalized brain dysfunction in COVID-19

Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies

Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy study

Sensitivity of Diffusion MRI to White Matter Pathology: Influence of Diffusion Protocol, Magnetic Field Strength, and Processing Pipeline in Systemic Lupus Erythematosus

Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort

Presurgical diffusion metrics of the thalamus and thalamic nuclei in postoperative delirium: A prospective two-centre cohort study in older patients

Automatic localisation and per-region quantification of traumatic brain injury on head CT using atlas mapping

A critical period for postnatal adaptive plasticity in a model of motor axon miswiring

Algorithmic encoding of protected characteristics in chest X-ray disease detection models

Risk of Bias in Chest Radiography Deep Learning Foundation Models

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

Deep Learning‐Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies

Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge

Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke

Algorithmic encoding of protected characteristics in chest X-ray disease detection modelsResearch in context

Post-acute blood biomarkers and disease progression in traumatic brain injury

DeepMedic for Brain Tumor Segmentation

Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle

The trouble with free-water elimination using single-shell diffusion MRI data: A case study in ageing

Metabolic derangements are associated with impaired glucose delivery following traumatic brain injury

Computational Diffusion MRI: 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields

93 Acute magnetic resonance imaging for mild traumatic brain injury

Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data

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