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Douglas L. Arnold
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2020 – today
- 2024
- [c35]Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. MICCAI (3) 2024: 400-410 - [i12]Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. CoRR abs/2406.12807 (2024) - 2023
- [j35]Ricardo Pizarro
, Haz-Edine Assemlal, Sethu K. Boopathy Jegathambal
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images. Medical Image Anal. 90: 102942 (2023) - [j34]Bastien Caba
Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning. NeuroImage 265: 119787 (2023) - [c34]Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel:
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. MICCAI (3) 2023: 189-198 - [c33]Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. MICCAI (5) 2023: 472-481 - [i11]Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. CoRR abs/2305.03829 (2023) - [i10]Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel:
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. CoRR abs/2307.01738 (2023) - 2022
- [j33]Raghav Mehta
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference. IEEE Trans. Medical Imaging 41(2): 360-373 (2022) - [c32]Chelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel:
Heatmap Regression for Lesion Detection Using Pointwise Annotations. MILLanD@MICCAI 2022: 3-12 - [c31]Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. AIIIMA/MIABID@MICCAI 2022: 113-124 - [c30]Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel:
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. MIDL 2022: 387-406 - [c29]Julien Schroeter, Chelsea Myers-Colet, Douglas L. Arnold, Tal Arbel:
Segmentation-Consistent Probabilistic Lesion Counting. MIDL 2022: 1034-1056 - [i9]Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel:
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. CoRR abs/2204.01702 (2022) - [i8]Julien Schroeter, Chelsea Myers-Colet, Douglas L. Arnold, Tal Arbel:
Segmentation-Consistent Probabilistic Lesion Counting. CoRR abs/2204.05276 (2022) - [i7]Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. CoRR abs/2208.02311 (2022) - [i6]Chelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel:
Heatmap Regression for Lesion Detection using Pointwise Annotations. CoRR abs/2208.05939 (2022) - [i5]Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR abs/2210.17398 (2022) - [i4]Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. CoRR abs/2211.07820 (2022) - 2021
- [c28]Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel:
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI 2021: 101-111 - [i3]Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel:
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting. CoRR abs/2107.12978 (2021) - [i2]Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel:
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. CoRR abs/2108.00713 (2021) - 2020
- [j32]Tanya Nair, Doina Precup, Douglas L. Arnold
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation. Medical Image Anal. 59 (2020) - [j31]Robert A. Brown, Dumitru Fetco, Robert Fratila, Giulia Fadda, Shangge Jiang
Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies. NeuroImage 208: 116442 (2020) - [j30]Josefina Maranzano, Mahsa Dadar
Automated separation of diffusely abnormal white matter from focal white matter lesions on MRI in multiple sclerosis. NeuroImage 213: 116690 (2020) - [j29]Sridar Narayanan, Kunio Nakamura
Brain volume loss in individuals over time: Source of variance and limits of detectability. NeuroImage 214: 116737 (2020) - [c27]Nazanin Mohammadi Sepahvand, Douglas L. Arnold, Tal Arbel:
CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images. ISBI 2020: 127-130
2010 – 2019
- 2019
- [j28]Hyunwoo Lee, Kunio Nakamura
Estimating and accounting for the effect of MRI scanner changes on longitudinal whole-brain volume change measurements. NeuroImage 184: 555-565 (2019) - [j27]Ricardo Pizarro
Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large Databases. Neuroinformatics 17(1): 115-130 (2019) - [c26]Joshua Durso-Finley, Douglas L. Arnold, Tal Arbel:
Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. BrainLes@MICCAI (1) 2019: 108-118 - [c25]Raghav Mehta, Thomas Christinck, Tanya Nair, Paul Lemaître, Douglas L. Arnold, Tal Arbel:
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference. UNSURE/CLIP@MICCAI 2019: 23-32 - [c24]Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold, Tal Arbel:
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases. DART/MIL3ID@MICCAI 2019: 90-98 - [c23]Adrian Tousignant, Paul Lemaître, Doina Precup, Douglas L. Arnold, Tal Arbel:
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data. MIDL 2019: 483-492 - 2018
- [j26]Michael Osadebey, Marius Pedersen
Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study. BMC Medical Imaging 18(1): 31:1-31:19 (2018) - [c22]Nazanin Mohammadi Sepahvand, Tal Hassner, Douglas L. Arnold, Tal Arbel:
CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels. BrainLes@MICCAI (1) 2018: 57-69 - [c21]Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel:
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. MICCAI (1) 2018: 655-663 - [i1]Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel:
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. CoRR abs/1808.01200 (2018) - 2017
- [j25]Michael Osadebey, Marius Pedersen, Douglas L. Arnold, Katrina Wendel-Mitoraj:
No-reference quality measure in brain MRI images using binary operations, texture and set analysis. IET Image Process. 11(9): 672-684 (2017) - [j24]Christian Dansereau, Yassine Benhajali, Céline Risterucci, Emilio Merlo Pich, Pierre Orban, Douglas L. Arnold
Statistical power and prediction accuracy in multisite resting-state fMRI connectivity. NeuroImage 149: 220-232 (2017) - [c20]Andrew Doyle
Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials. BrainLes@MICCAI 2017: 15-28 - [c19]Andrew Doyle
Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation. MICCAI (3) 2017: 186-194 - 2016
- [j23]Zahra Karimaghaloo, Douglas L. Arnold
Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images. Medical Image Anal. 27: 17-30 (2016) - 2015
- [j22]Kunio Nakamura
Diurnal fluctuations in brain volume: Statistical analyses of MRI from large populations. NeuroImage 118: 126-132 (2015) - [j21]Rola Harmouche, Nagesh K. Subbanna, D. Louis Collins
Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information. IEEE Trans. Biomed. Eng. 62(5): 1281-1292 (2015) - [j20]Zahra Karimaghaloo, Hassan Rivaz, Douglas L. Arnold
Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. IEEE Trans. Medical Imaging 34(6): 1227-1241 (2015) - [c18]Nagesh K. Subbanna, Doina Precup, Douglas L. Arnold, Tal Arbel:
IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI. IPMI 2015: 514-526 - 2014
- [j19]Michael Osadebey, Nizar Bouguila, Douglas L. Arnold
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. 24(3): 224-238 (2014) - [c17]Colm Elliott, Douglas L. Arnold, D. Louis Collins
A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions. BAMBI 2014: 118-129 - [c16]Bérengère Aubert-Broche, Vladimir S. Fonov
Is It Possible to Differentiate the Impact of Pediatric Monophasic Demyelinating Disorders and Multiple Sclerosis After a First Episode of Demyelination? STIA 2014: 38-48 - 2013
- [j18]Michael Osadebey, Nizar Bouguila, Douglas L. Arnold
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. 23(4): 304-313 (2013) - [j17]Daniel García-Lorenzo, Simon J. Francis, Sridar Narayanan, Douglas L. Arnold
Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging. Medical Image Anal. 17(1): 1-18 (2013) - [j16]Robert A. Brown, Sridar Narayanan, Douglas L. Arnold
Segmentation of magnetization transfer ratio lesions for longitudinal analysis of demyelination and remyelination in multiple sclerosis. NeuroImage 66: 103-109 (2013) - [j15]Colm Elliott
Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI. IEEE Trans. Medical Imaging 32(8): 1490-1503 (2013) - [c15]Marika Archambault-Wallenburg, Douglas L. Arnold, Sridar Narayanan, G. Bruce Pike, D. Louis Collins
Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis. MBIA 2013: 138-149 - [c14]Zahra Karimaghaloo, Hassan Rivaz, Douglas L. Arnold, D. Louis Collins
Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI. MICCAI (3) 2013: 543-550 - 2012
- [j14]Zahra Karimaghaloo, Mohak Shah, Simon J. Francis, Douglas L. Arnold
Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields. IEEE Trans. Medical Imaging 31(6): 1181-1194 (2012) - [c13]Zahra Karimaghaloo, Douglas L. Arnold, D. Louis Collins
Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis. MICCAI (2) 2012: 379-386 - 2011
- [j13]Mohak Shah, Yiming Xiao, Nagesh K. Subbanna, Simon J. Francis, Douglas L. Arnold
Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. Medical Image Anal. 15(2): 267-282 (2011) - [j12]Bérengère Aubert-Broche, Vladimir S. Fonov
Regional brain atrophy in children with multiple sclerosis. NeuroImage 58(2): 409-415 (2011) - [j11]Daniel García-Lorenzo, Sylvain Prima, Douglas L. Arnold
Trimmed-Likelihood Estimation for Focal Lesions and Tissue Segmentation in Multisequence MRI for Multiple Sclerosis. IEEE Trans. Medical Imaging 30(8): 1455-1467 (2011) - [c12]Nagesh K. Subbanna, Simon J. Francis, Doina Precup, D. Louis Collins, Douglas L. Arnold, Tal Arbel:
Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information. MIUA 2011: 351-356 - 2010
- [j10]Pierrick Coupé
Robust Rician noise estimation for MR images. Medical Image Anal. 14(4): 483-493 (2010) - [j9]Zografos Caramanos, Vladimir S. Fonov
Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change. NeuroImage 49(2): 1601-1611 (2010) - [j8]Zografos Caramanos, Vladimir S. Fonov
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 49(4): 3498 (2010) - [j7]Mishkin Derakhshan, Zografos Caramanos, Paul S. Giacomini, Sridar Narayanan, Josefina Maranzano, Simon J. Francis, Douglas L. Arnold
Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis. NeuroImage 52(4): 1261-1267 (2010) - [c11]Vladimir S. Fonov
Improved Precision in the Measurement of Longitudinal Global and Regional Volumetric Changes via a Novel MRI Gradient Distortion Characterization and Correction Technique. MIAR 2010: 324-333 - [c10]Zahra Karimaghaloo, Mohak Shah, Simon J. Francis, Douglas L. Arnold, D. Louis Collins
Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields. MICCAI (3) 2010: 41-48 - [c9]Yiming Xiao, Mohak Shah, Simon J. Francis, Douglas L. Arnold, Tal Arbel, D. Louis Collins
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis. MLMI 2010: 165-173 - [c8]Colm Elliott, Simon J. Francis, Douglas L. Arnold, D. Louis Collins
Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images. MICCAI (2) 2010: 290-297
2000 – 2009
- 2009
- [c7]Daniel García-Lorenzo, Jérémy Lecoeur, Douglas L. Arnold, D. Louis Collins
Multiple Sclerosis Lesion Segmentation Using an Automatic Multimodal Graph Cuts. MICCAI (1) 2009: 584-591 - [c6]Pierrick Coupé
An Object-Based Method for Rician Noise Estimation in MR Images. MICCAI (1) 2009: 601-608 - 2008
- [c5]Elias Gedamu, Abraham Gedamu, Douglas L. Arnold, D. Louis Collins
MRI inter-packet movement correction for images acquired with non-complementary data. ISBI 2008: 416-419 - 2007
- [j6]J. T. Chen, T. Kuhlmann, G. H. Jansen, D. Louis Collins
Voxel-based analysis of the evolution of magnetization transfer ratio to quantify remyelination and demyelination with histopathological validation in a multiple sclerosis lesion. NeuroImage 36(4): 1152-1158 (2007) - 2006
- [j5]Sridar Narayanan, Simon J. Francis, John G. Sled
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 29(2): 637-642 (2006) - [c4]Rola Harmouche, D. Louis Collins
Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information. ICPR (3) 2006: 984-987 - 2005
- [j4]J. T. Chen, D. Louis Collins
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 25(4): 1272-1278 (2005) - 2004
- [j3]J. T. Chen, Sridar Narayanan, D. Louis Collins
Relating neocortical pathology to disability progression in multiple sclerosis using MRI. NeuroImage 23(3): 1168-1175 (2004) - 2003
- [j2]Samson B. Antel, D. Louis Collins
Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis. NeuroImage 19(4): 1748-1759 (2003) - [c3]Sylvain Prima, Douglas L. Arnold, D. Louis Collins
Multivariate Statistics for Detection of MS Activity in Serial Multimodal MR Images. MICCAI (1) 2003: 663-670 - 2002
- [j1]Samson B. Antel, Andrea Bernasconi, Neda Bernasconi, D. Louis Collins
Computational Models of MRI Characteristics of Focal Cortical Dysplasia Improve Lesion Detection. NeuroImage 17(4): 1755-1760 (2002) - [c2]Sylvain Prima, Nicholas Ayache, Andrew L. Janke
Statistical Analysis of Longitudinal MRI Data: Applications for Detection of Disease Activity in MS. MICCAI (1) 2002: 363-371 - 2001
- [c1]D. Louis Collins
Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR. IPMI 2001: 141-147
Coauthor Index
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