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Variations in the Circle of Willis in a large population sample using 3D TOF angiography: The Tromsø Study

PloS one, 2020, Vol.15 (11), p.e0241373-e0241373

2020

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Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions

PloS one, 2023-03, Vol.18 (3), p.e0283610-e0283610

2023

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ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

Scientific data, 2022-12, Vol.9 (1), p.762-9, Article 762

2022

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Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Graph Matching

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 1), p.566-573

2013

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Automated detection of vertebral fractures in CT using 3D convolutional neural networks

Bone Reports, 2020-10, Vol.13, p.100539, Article 100539

2020

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Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty

Medical image analysis, 2021-01, Vol.67, p.101833-101833, Article 101833

2021

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Perfusion Parameter Estimation Using Neural Networks and Data Augmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.439-446

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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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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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Simultaneous segmentation and anatomical labeling of the cerebral vasculature

Medical image analysis, 2016-08, Vol.32, p.201-215

2016

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AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning

Medical image analysis, 2021-12, Vol.74, p.102211-102211, Article 102211

2021

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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

Medical image analysis, 2020-01, Vol.59, p.101589-101589, Article 101589

2020

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Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT

European journal of nuclear medicine and molecular imaging, 2020-11, Vol.47 (12), p.2742-2752

2020

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Optimization with Soft Dice Can Lead to a Volumetric Bias

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.89-97

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Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging

Stroke (1970), 2022-02, Vol.53 (2), p.569-577

2022

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A reliable and time‐saving semiautomatic spike‐template–based analysis of interictal EEG–fMRI

Epilepsia (Copenhagen), 2014-12, Vol.55 (12), p.2048-2058

2014

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Abstract P333: Prediction of Stroke Lesion Growth Rates by Baseline Perfusion Imaging

Stroke (1970), 2021-03, Vol.52 (Suppl_1)

2021

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Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions

PloS one, 2023-01, Vol.18 (3)

2023

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Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.98-107

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Automated DWI analysis can identify patients within the thrombolysis time window of 4.5 hours

Neurology, 2018-05, Vol.90 (18), p.e1570

2018

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Abstract TP80: Deep Learning Based Prediction of Tissue Status From Native CT Perfusion Images

Stroke (1970), 2019-02, Vol.50 (Suppl_1)

2019

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Unsupervised 3D Brain Anomaly Detection

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.133-142

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A reliable and time‐saving semiautomatic spike‐template–based analysis of interictal EEG –f MRI

Epilepsia (Copenhagen), 2014-12, Vol.55 (12), p.2048-2058

2014

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Smaller caliber of the internal carotid artery in patients with ipsilateral aplasia of the A1 segment of the anterior cerebral artery: a study with CTA

Acta neurologica Belgica, 2018-06, Vol.118 (2), p.297-302

2018

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Variations in the Circle of Willis in a large population sample using 3D TOF angiography: The Tromsø Study

Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions

ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Graph Matching

Automated detection of vertebral fractures in CT using 3D convolutional neural networks

Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty

Perfusion Parameter Estimation Using Neural Networks and Data Augmentation

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

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

Simultaneous segmentation and anatomical labeling of the cerebral vasculature

AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning

Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT

Optimization with Soft Dice Can Lead to a Volumetric Bias

Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging

A reliable and time‐saving semiautomatic spike‐template–based analysis of interictal EEG–fMRI

Abstract P333: Prediction of Stroke Lesion Growth Rates by Baseline Perfusion Imaging

Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions

Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data

Automated DWI analysis can identify patients within the thrombolysis time window of 4.5 hours

Abstract TP80: Deep Learning Based Prediction of Tissue Status From Native CT Perfusion Images

Unsupervised 3D Brain Anomaly Detection

A reliable and time‐saving semiautomatic spike‐template–based analysis of interictal EEG –f MRI

Smaller caliber of the internal carotid artery in patients with ipsilateral aplasia of the A1 segment of the anterior cerebral artery: a study with CTA

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