Tal Arbel

发表

Fast and efficient image registration based on gradient orientations of minimal uncertainty

Tal Arbel, Dante De Nigris, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images

Tal Arbel, Zahra Karimaghaloo, Douglas L. Arnold, 2016, Medical Image Anal..

A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions

D. Louis Collins, Tal Arbel, Douglas L. Arnold, 2014, BAMBI.

Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty

D. Louis Collins, Tal Arbel, Dante De Nigris, 2012, IEEE Transactions on Medical Imaging.

Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases

Kevin Petrecca, Simon Drouin, Tal Arbel, 2018, Journal of medical imaging.

Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations

D. Louis Collins, Tal Arbel, Dante De Nigris, 2013, International Journal of Computer Assisted Radiology and Surgery.

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation pdf

Doina Precup, Tal Arbel, Douglas L. Arnold, 2018, MICCAI.

Soft biometric trait classification from real-world face videos conditioned on head pose estimation

Doina Precup, Tal Arbel, James J. Clark, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials

Andrew Doyle, Tal Arbel, Zahra Karimaghaloo, 2017, BrainLes@MICCAI.

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

M. Jorge Cardoso, William M. Wells, Shaoting Zhang, 2016, Lecture Notes in Computer Science.

Why rankings of biomedical image analysis competitions should be interpreted with care

Alejandro F. Frangi, Peter F. Neher, Aaron Carass, 2018, Nature Communications.

Parts-based modelling of medical imagery

Matthew Toews, Tal Arbel, T. Arbel, 2009 .

Generalizing Inverse Compositional and ESM Image Alignment

Tal Arbel, Rupert Brooks, T. Arbel, 2010, International Journal of Computer Vision.

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures: First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Raghav Mehta, Tal Arbel, Douglas Arnold, 2019, UNSURE/CLIP@MICCAI.

Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis

D. Louis Collins, Tal Arbel, Zahra Karimaghaloo, 2012, MICCAI.

Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

M. Jorge Cardoso, Bernhard Kainz, Theo van Walsum, 2017, Lecture Notes in Computer Science.

Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI

D. Louis Collins, Hassan Rivaz, Tal Arbel, 2015, IEEE Transactions on Medical Imaging.

Uncertainty Evaluation Metric for Brain Tumour Segmentation pdf

Raghav Mehta, Tal Arbel, Yarin Gal, 2020, ArXiv.

Evaluating intensity normalization on MRIs of human brain with multiple sclerosis

D. Louis Collins, Mohak Shah, Tal Arbel, 2011, Medical Image Anal..

Fetal, Infant and Ophthalmic Medical Image Analysis

M. Jorge Cardoso, Andrew Melbourne, Emanuele Trucco, 2017, Lecture Notes in Computer Science.

Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information

D. Louis Collins, Tal Arbel, Douglas L. Arnold, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Probabilistic Speckle Decorrelation for 3D Ultrasound

Tal Arbel, Catherine Laporte, 2007, MICCAI.

3D U-Net for Brain Tumour Segmentation

Raghav Mehta, Tal Arbel, T. Arbel, 2018, BrainLes@MICCAI.

Parametric shape recognition using a probabilistic inverse theory

Frank P. Ferrie, Tal Arbel, Peter Whaite, 1996, Pattern Recognit. Lett..

Recognizing Objects From Curvilinear Motion

Frank P. Ferrie, Tal Arbel, Marcel Mitran, 2000, BMVC.

Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database

D. Louis Collins, Kevin Petrecca, Tal Arbel, 2016, BrainLes@MICCAI.

On the Sequential Accumulation of Evidence

Frank P. Ferrie, Tal Arbel, 2004, International Journal of Computer Vision.

Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI

Tal Arbel, Douglas L. Arnold, Joshua Durso-Finley, 2019, BrainLes@MICCAI.

Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations

D. Louis Collins, Tal Arbel, Roch M. Comeau, 2001, MICCAI.

Robust semi-automatic head pose labeling for real-world face video sequences

Tal Arbel, James J. Clark, Meltem Demirkus, 2013, Multimedia Tools and Applications.

CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images

Tal Arbel, Douglas L. Arnold, Nazanin Mohammadi Sepahvand, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Spatial and probabilistic codebook template based head pose estimation from unconstrained environments

Tal Arbel, James J. Clark, Boris N. Oreshkin, 2011, 2011 18th IEEE International Conference on Image Processing.

Learning a tissue invariant ultrasound speckle decorrelation model

Tal Arbel, Catherine Laporte, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Statistical Parts-Based Model of Anatomical Variability

Matthew Toews, Tal Arbel, T. Arbel, 2007, IEEE Transactions on Medical Imaging.

The importance of scale when selecting pixels for image registration

Tal Arbel, Rupert Brooks, 2007, Fourth Canadian Conference on Computer and Robot Vision (CRV '07).

Biomedical Image Analysis Challenges (BIAS) Reporting Guideline

Lena Maier-Hein, Annika Reinke, Matthias Eisenmann, 2020 .

Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI

D. Louis Collins, Tal Arbel, Douglas L. Arnold, 2013, IEEE Transactions on Medical Imaging.

Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields

Bastian Cheng, Götz Thomalla, Tal Arbel, 2019, Front. Neurol..

Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images

Alejandro F. Frangi, Zhong Chen, Richard James Housden, 2016, Medical Image Anal..

Interactive visual dialog

Frank P. Ferrie, Tal Arbel, 2002, Image Vis. Comput..

Measurement Selection in Untracked Freehand 3D Ultrasound

Tal Arbel, Catherine Laporte, 2010, MICCAI.

Shannon information based adaptive sampling for action recognition

Tal Arbel, Qing Tian, James J. Clark, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames

Matthew Toews, Tal Arbel, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Su-Lin Lee, Shadi Albarqouni, Tal Arbel, 2018, Lecture Notes in Computer Science.

Detection Over Viewpoint via the Object Class Invariant

Matthew Toews, Tal Arbel, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Interactive Visual Dialog

Frank P. Ferrie, Tal Arbel, 2000, BMVC.

Uncertainty Driven Probabilistic Voxel Selection for Image Registration

Tal Arbel, Boris N. Oreshkin, 2013, IEEE Transactions on Medical Imaging.

Clinical Image-Based Procedures. Translational Research in Medical Imaging

D. Louis Collins, Kevin Petrecca, Simon Drouin, 2015, Lecture Notes in Computer Science.

Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images

D. Louis Collins, Tal Arbel, Douglas L. Arnold, 2010, MICCAI.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

Exploring Cortical Folding Pattern Variability Using Local Image Features

D. Louis Collins, Matthew Toews, Tal Arbel, 2010, MCV.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Gustavo Carneiro, Jaime S. Cardoso, M. Jorge Cardoso, 2017, Lecture Notes in Computer Science.

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge pdf

et al., Mahbubul Alam, Antonio Albiol, 2018, ArXiv.

RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours pdf

Raghav Mehta, Tal Arbel, 2018, SASHIMI@MICCAI.

Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures

Stefan Wesarg, M. Jorge Cardoso, Terry M. Peters, 2017, Lecture Notes in Computer Science.

Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration pdf

Tal Arbel, Boris N. Oreshkin, 2012, WBIR.

Bayesian and grAphical Models for Biomedical Imaging

M. Jorge Cardoso, Doina Precup, Tal Arbel, 2014, Lecture Notes in Computer Science.

Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition

Tal Arbel, Catherine Laporte, T. Arbel, 2006, International Journal of Computer Vision.

Learning to estimate out-of-plane motion in ultrasound imagery of real tissue

Tal Arbel, Catherine Laporte, 2011, Medical Image Anal..

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Su-Lin Lee, Gustavo Carneiro, M. Jorge Cardoso, 2017, Lecture Notes in Computer Science.

Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis

William M. Wells, Doina Precup, Manuel Jorge Cardoso, 2016, Comput. Vis. Image Underst..

Task-specific Deep LDA pruning of neural networks

Tal Arbel, James J. Clark, Qing Tian, 2018 .

Gender classification from unconstrained video sequences

Matthew Toews, Tal Arbel, James J. Clark, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

A sequential Bayesian approach to color constancy using non-uniform filters

Tal Arbel, James J. Clark, Sandra Skaff, 2009, Comput. Vis. Image Underst..

A Statistical Parts-Based Appearance Model of Inter-subject Variability

D. Louis Collins, Matthew Toews, Tal Arbel, 2006, MICCAI.

Feature-based morphometry: Discovering group-related anatomical patterns

D. Louis Collins, William M. Wells, Matthew Toews, 2010, NeuroImage.

Feature-Based Morphometry

D. Louis Collins, William M. Wells, Matthew Toews, 2009, MICCAI.

Generalizing inverse compositional image alignment

Tal Arbel, Rupert Brooks, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling

Matthew Toews, Tal Arbel, T. Arbel, 2007, AMFG.

Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data

Doina Precup, Tal Arbel, Douglas L. Arnold, 2019, MIDL.

Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI

Doina Precup, Tal Arbel, Nagesh K. Subbanna, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels

Tal Hassner, Tal Arbel, Douglas L. Arnold, 2018, BrainLes@MICCAI.

Improving Pathological Structure Segmentation via Transfer Learning Across Diseases

Raghav Mehta, Doina Precup, Tal Arbel, 2019, DART/MIL3ID@MICCAI.

Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI

D. Louis Collins, Hassan Rivaz, Tal Arbel, 2013, MICCAI.

Informative Views and Sequential Recognition

Frank P. Ferrie, Tal Arbel, 1996, ECCV.

Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes

D. Louis Collins, Doina Precup, Tal Arbel, 2013, MICCAI.

Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields

D. Louis Collins, Mohak Shah, Tal Arbel, 2012, IEEE Transactions on Medical Imaging.

Entropy-based gaze planning

Frank P. Ferrie, Tal Arbel, 2001, Image Vis. Comput..

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions pdf

Alejandro F. Frangi, Peter F. Neher, Klaus H. Maier-Hein, 2018, ArXiv.

IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI

Doina Precup, Tal Arbel, Douglas L. Arnold, 2015, IPMI.

Automatically learning cortical folding patterns

D. Louis Collins, Matthew Toews, Tal Arbel, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields

D. Louis Collins, Mohak Shah, Tal Arbel, 2010, MICCAI.

Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2018, Nature Communications.

Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model

Doina Precup, Tal Arbel, James J. Clark, 2014, ECCV.

Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation

Doina Precup, Tal Arbel, Douglas L. Arnold, 2020, Medical Image Anal..

Recognizing volumetric objects in the presence of uncertainty

Frank P. Ferrie, Tal Arbel, Peter Whaite, 1994, Proceedings of 12th International Conference on Pattern Recognition.

Multi-layer temporal graphical model for head pose estimation in real-world videos

Doina Precup, Tal Arbel, James J. Clark, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment

D. Louis Collins, Kevin Petrecca, Simon Drouin, 2015, CLIP@MICCAI.

Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters

Matthew Toews, Tal Arbel, Frank Riggi, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels

D. Louis Collins, Tal Arbel, Dante De Nigris, 2014, WBIR.

Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information

D. Louis Collins, Laurence Mercier, Rolando Del Maestro, 2010, MICCAI.

How to Exploit Weaknesses in Biomedical Challenge Design and Organization

Lena Maier-Hein, Annika Reinke, Patrick Scholz, 2018, MICCAI.

Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation

Doina Precup, Andrew Doyle, Tal Arbel, 2017, MICCAI.

Fisher Pruning of Deep Nets for Facial Trait Classification pdf

Tal Arbel, Qing Tian, James J. Clark, 2018, ArXiv.

Active Bayesian color constancy with non-uniform sensors

Tal Arbel, James J. Clark, Sandra Skaff, 2002, Object recognition supported by user interaction for service robots.

Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos

Doina Precup, Tal Arbel, James J. Clark, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A fast discriminant approach to active object recognition and pose estimation

Tal Arbel, Rupert Brooks, Catherine Laporte, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis

D. Louis Collins, Mohak Shah, Tal Arbel, 2010, MLMI.

Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss

Tal Arbel, Andrew Jesson, T. Arbel, 2017, BrainLes@MICCAI.

Deformable Ultrasound Registration without Reconstruction

D. Louis Collins, Tal Arbel, Rupert Brooks, 2008, MICCAI.

Viewpoint selection by navigation through entropy maps

Frank P. Ferrie, Tal Arbel, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information

D. Louis Collins, Doina Precup, Tal Arbel, 2011, MIUA.

Doina Precup, Tal Arbel, Rupert Brooks, 2008, Comput. Vis. Image Underst..

IBIS: an OR ready open-source platform for image-guided neurosurgery

Abbas F. Sadikot, D. Louis Collins, Kevin Petrecca, 2017, International Journal of Computer Assisted Radiology and Surgery.

A FRACTAL MULTI-DIMENSIONAL ULTRASOUND SCATTERER DISTRIBUTION MODEL

Tal Arbel, James J. Clark, Catherine Laporte, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Structured deep Fisher pruning for efficient facial trait classification

Tal Arbel, Qing Tian, James J. Clark, 2018, Image Vis. Comput..

Task dependent deep LDA pruning of neural networks

Tal Arbel, James J. Clark, Qing Tian, 2020, Comput. Vis. Image Underst..

Entropy-of-likelihood feature selection for image correspondence

Matthew Toews, Tal Arbel, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Brian B. Avants, D. Louis Collins, Hervé Delingette, 2015, IEEE Transactions on Medical Imaging.

Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3-D Ultrasound

Tal Arbel, Catherine Laporte, 2008, IEEE Transactions on Medical Imaging.

Efficient Gender Classification Using a Deep LDA-Pruned Net pdf

Tal Arbel, Qing Tian, James J. Clark, 2017, ArXiv.

Hierarchical Conditional Random Fields for Myocardium Infarction Detection

Hassan Rivaz, Tal Arbel, Zahra Karimaghaloo, 2012, STACOM.

Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery

D. Louis Collins, Tal Arbel, Dante De Nigris, 2012, IPCAI.

Parts-Based Appearance Modeling of Medical Imagery

Matthew Toews, Tal Arbel, 2009 .

Deep discriminant analysis for task-dependent compact network search pdf

Tal Arbel, James J. Clark, Qing Tian, 2020, ArXiv.

A fast discriminant approach to active object recognition and pose estimation

Tal Arbel, Rupert Brooks, Catherine Laporte, 2004, ICPR 2004.

Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information

D. Louis Collins, Tal Arbel, Douglas L. Arnold, 2015, IEEE Transactions on Biomedical Engineering.

Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion

Matthew Toews, Tal Arbel, T. Arbel, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2019, Nature Communications.

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

M. Jorge Cardoso, Mert R. Sabuncu, Li Shen, 2017, Lecture Notes in Computer Science.

Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference

Raghav Mehta, Tal Arbel, Douglas L. Arnold, 2019, IEEE Transactions on Medical Imaging.

BIAS: Transparent reporting of biomedical image analysis challenges

Lena Maier-Hein, Annika Reinke, Matthias Eisenmann, 2019, Medical Image Analysis.

Fast Image Alignment Using Anytime Algorithms

Doina Precup, Tal Arbel, Rupert Brooks, 2007, IJCAI.

Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos

Doina Precup, Tal Arbel, James J. Clark, 2015, Comput. Vis. Image Underst..

HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images

Raghav Mehta, Tal Arbel, James J. Clark, 2021, MIDL.

Common Limitations of Image Processing Metrics: A Picture Story pdf

Ronald M. Summers, Sotirios A. Tsaftaris, Lena Maier-Hein, 2021, ArXiv.

Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation pdf

Raghav Mehta, Tal Arbel, Douglas L. Arnold, 2021, DART/FAIR@MICCAI.

Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting pdf

Tal Arbel, Douglas L. Arnold, Brennan Nichyporuk, 2021, ArXiv.

Accounting for Variance in Machine Learning Benchmarks pdf

Tal Arbel, Dmitriy Serdyuk, Edward Raff, 2021, MLSys.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results pdf

Christos Davatzikos, Gowtham Krishnan Murugesan, Chandan Ganesh, 2021, ArXiv.

Maximum a Posteriori Local Histogram Estimation for Image Registration

D. Louis Collins, Matthew Toews, Tal Arbel, 2005, MICCAI.

Piecewise affine initialized spline-based patient-specific registration of a high-resolution ear model for surgical guidance

Tal Arbel, Rupert Brooks, Michel A. Audette, 2009 .

Rate of Agreement for Manual and Automated Techniques for Determination of New T2 Lesions in Children with Multiple Sclerosis and Acute Demyelination (P2.242)

Tal Arbel, Douglas L. Arnold, Brenda Banwell, 2014 .