Douglas L. Arnold
Orcid: 0000-0003-4266-0106
According to our database1,
Douglas L. Arnold
authored at least 71 papers
between 2001 and 2023.
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Bibliography
2023
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images.
Medical Image Anal., December, 2023
Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning.
NeuroImage, 2023
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.
IEEE Trans. Medical Imaging, 2022
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors.
CoRR, 2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation.
CoRR, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers.
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022
2021
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting.
CoRR, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
2020
Brain volume loss in individuals over time: Source of variance and limits of detectability.
NeuroImage, 2020
Automated separation of diffusely abnormal white matter from focal white matter lesions on MRI in multiple sclerosis.
NeuroImage, 2020
Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies.
NeuroImage, 2020
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
Medical Image Anal., 2020
CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
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
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 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
2017
Statistical power and prediction accuracy in multisite resting-state fMRI connectivity.
NeuroImage, 2017
No-reference quality measure in brain MRI images using binary operations, texture and set analysis.
IET Image Process., 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
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 Anal., 2016
2015
Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI.
IEEE Trans. Medical Imaging, 2015
Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information.
IEEE Trans. Biomed. Eng., 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 Syst. Technol., 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
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. Medical 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 Anal., 2013
The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI.
Int. J. Imaging Syst. Technol., 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. Medical 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. Medical Imaging, 2011
Medical Image Anal., 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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
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
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
2004
Relating neocortical pathology to disability progression in multiple sclerosis using MRI.
NeuroImage, 2004
2003
Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis.
NeuroImage, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
2002
Computational Models of MRI Characteristics of Focal Cortical Dysplasia Improve Lesion Detection.
NeuroImage, 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
Proceedings of the Information Processing in Medical Imaging, 2001