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Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1229-1239

2016

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Autonomic Alterations After Pulmonary Vein Isolation in the CIRCA-DOSE (Cryoballoon vs Irrigated Radiofrequency Catheter Ablation) Study

Journal of the American Heart Association, 2021-03, Vol.10 (5), p.e018610-e018610

2021

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Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls

NeuroImage clinical, 2018-01, Vol.17, p.169-178

2018

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Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT

The Lancet. Digital health, 2020-05, Vol.2 (5), p.e259-e267

2020

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Predicting Atrial Fibrillation Recurrence After Catheter Ablation: A Comparative Evaluation in the CIRCA-DOSE Trial

Circulation. Arrhythmia and electrophysiology, 2021-12, Vol.14 (12), p.e010443-e010443

2021

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Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registration

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 2), p.43-50

2013

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Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, p.28-31

2016

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IEEE_Xplore

Random walker image registration with inverse consistency

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.837-840

2015

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IEEE_Xplore

Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, p.3-11

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Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome

Computer methods in biomechanics and biomedical engineering., 2019-05, Vol.7 (3), p.250-259

2019

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Abstract 16753: Baseline Prediction of Atrial Fibrillation Recurrence After Catheter Ablation: Comparative Analysis of Prognostic Models Using Data Recorded by Implanted Cardiac Monitors

Circulation (New York, N.Y.), 2020-11, Vol.142 (Suppl_3 Suppl 3), p.A16753-A16753

2020

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Abstract 17165: Natural History of Cardiac Function in Patients With Atrial Fibrillation Pre- and Post- Ablation

Circulation (New York, N.Y.), 2020-11, Vol.142 (Suppl_3 Suppl 3), p.A17165-A17165

2020

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Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.330-337

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Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More

Machine Learning in Medical Imaging, 2020, Vol.12436, p.563-571

2020

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Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.480-488

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Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, p.123-131

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Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9901, p.406-414

2016

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Application of whole-genome sequencing for bacterial strain typing in molecular epidemiology

Journal of clinical microbiology, 2015-04, Vol.53 (4), p.1072-1079

2015

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Relation between resting amygdalar activity and cardiovascular events: a longitudinal and cohort study

The Lancet (British edition), 2017-02, Vol.389 (10071), p.834-845

2017

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Mutant IDH is sufficient to initiate enchondromatosis in mice

Proceedings of the National Academy of Sciences - PNAS, 2015-03, Vol.112 (9), p.2829-2834

2015

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Employment of a high throughput functional assay to define the critical factors that influence vaccine induced cross-variant neutralizing antibodies for SARS-CoV-2

Scientific reports, 2023-12, Vol.13 (1), p.21810-21810, Article 21810

2023

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A strategy based on nucleotide specificity leads to a subfamily-selective and cell-active inhibitor of N 6 -methyladenosine demethylase FTO

Chemical science (Cambridge), 2015-01, Vol.6 (1), p.112-122

2015

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Intensification of Medication Therapy for Cardiorenal Syndrome in Acute Decompensated Heart Failure

Journal of cardiac failure, 2016-01, Vol.22 (1), p.26-32

2016

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Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Autonomic Alterations After Pulmonary Vein Isolation in the CIRCA-DOSE (Cryoballoon vs Irrigated Radiofrequency Catheter Ablation) Study

Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls

Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT

Predicting Atrial Fibrillation Recurrence After Catheter Ablation: A Comparative Evaluation in the CIRCA-DOSE Trial

Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registration

Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure

Random walker image registration with inverse consistency

Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation

Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome

Abstract 16753: Baseline Prediction of Atrial Fibrillation Recurrence After Catheter Ablation: Comparative Analysis of Prognostic Models Using Data Recorded by Implanted Cardiac Monitors

Abstract 17165: Natural History of Cardiac Function in Patients With Atrial Fibrillation Pre- and Post- Ablation

Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections

Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More

Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis

Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues

Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction

Noninvasive prenatal diagnosis of fetal trisomy 18 and trisomy 13 by maternal plasma DNA sequencing

Application of whole-genome sequencing for bacterial strain typing in molecular epidemiology

Relation between resting amygdalar activity and cardiovascular events: a longitudinal and cohort study

Patisiran Treatment in Patients with Transthyretin Cardiac Amyloidosis

Mutant IDH is sufficient to initiate enchondromatosis in mice

Employment of a high throughput functional assay to define the critical factors that influence vaccine induced cross-variant neutralizing antibodies for SARS-CoV-2

A strategy based on nucleotide specificity leads to a subfamily-selective and cell-active inhibitor of N 6 -methyladenosine demethylase FTO

Intensification of Medication Therapy for Cardiorenal Syndrome in Acute Decompensated Heart Failure

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