Douglas L. Arnold

According to our database1, Douglas L. Arnold authored at least 47 papers between 2001 and 2019.

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Bibliography

2019
Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large Databases.
Neuroinformatics, 2019

Estimating and accounting for the effect of MRI scanner changes on longitudinal whole-brain volume change measurements.
NeuroImage, 2019

Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018
Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study.
BMC Medical Imaging, 2018

CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
No-reference quality measure in brain MRI images using binary operations, texture and set analysis.
IET Image Processing, 2017

Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2016
Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images.
Medical Image Analysis, 2016

2015
Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI.
IEEE Trans. Med. Imaging, 2015

Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information.
IEEE Trans. Biomed. Engineering, 2015

Diurnal fluctuations in brain volume: Statistical analyses of MRI from large populations.
NeuroImage, 2015

IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain.
Int. J. Imaging Systems and Technology, 2014

Is It Possible to Differentiate the Impact of Pediatric Monophasic Demyelinating Disorders and Multiple Sclerosis After a First Episode of Demyelination?
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014

A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013
Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI.
IEEE Trans. Med. Imaging, 2013

Segmentation of magnetization transfer ratio lesions for longitudinal analysis of demyelination and remyelination in multiple sclerosis.
NeuroImage, 2013

Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging.
Medical Image Analysis, 2013

The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI.
Int. J. Imaging Systems and Technology, 2013

Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

2012
Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields.
IEEE Trans. Med. Imaging, 2012

Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Trimmed-Likelihood Estimation for Focal Lesions and Tissue Segmentation in Multisequence MRI for Multiple Sclerosis.
IEEE Trans. Med. Imaging, 2011

Regional brain atrophy in children with multiple sclerosis.
NeuroImage, 2011

Evaluating intensity normalization on MRIs of human brain with multiple sclerosis.
Medical Image Analysis, 2011

Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information.
Proceedings of the Medical Image Understanding and Analysis, 2011

2010
Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis.
NeuroImage, 2010

Corrigendum to "Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change" [NeuroImage 49 (2010) 1601-1611].
NeuroImage, 2010

Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change.
NeuroImage, 2010

Robust Rician noise estimation for MR images.
Medical Image Analysis, 2010

Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Improved Precision in the Measurement of Longitudinal Global and Regional Volumetric Changes via a Novel MRI Gradient Distortion Characterization and Correction Technique.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

2009
Multiple Sclerosis Lesion Segmentation Using an Automatic Multimodal Graph Cuts.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

An Object-Based Method for Rician Noise Estimation in MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008
MRI inter-packet movement correction for images acquired with non-complementary data.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Voxel-based analysis of the evolution of magnetization transfer ratio to quantify remyelination and demyelination with histopathological validation in a multiple sclerosis lesion.
NeuroImage, 2007

2006
Axonal injury in the cerebral normal-appearing white matter of patients with multiple sclerosis is related to concurrent demyelination in lesions but not to concurrent demyelination in normal-appearing white matter.
NeuroImage, 2006

Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Local magnetization transfer ratio signal inhomogeneity is related to subsequent change in MTR in lesions and normal-appearing white-matter of multiple sclerosis patients.
NeuroImage, 2005

2003
Multivariate Statistics for Detection of MS Activity in Serial Multimodal MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2002
Statistical Analysis of Longitudinal MRI Data: Applications for Detection of Disease Activity in MS.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

2001
Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR.
Proceedings of the Information Processing in Medical Imaging, 2001


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