Tal Arbel
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Professor of Electrical Engineering
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Tal Arbelengineering Degrees
Engineering
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Electrical Engineering
#1962
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Engineering
Tal Arbel's Degrees
- PhD Electrical Engineering McGill University
- Masters Electrical Engineering McGill University
- Bachelors Electrical Engineering McGill University
Why Is Tal Arbel Influential?
(Suggest an Edit or Addition)According to Wikipedia, Tal Arbel is a Professor of Electrical Engineering at McGill University who specialises in computer vision. She is interested in the application of artificial intelligence in healthcare. Early life and education Arbel was born in Montreal. Arbel's father was an electrical engineer. As a child Arbel was given a TRS-80 computer, which she used to play video games like pong. Alongside her computer, Arbel's father encouraged her to play with model planes and Lego. She studied science at CEGEP, before joining McGill University for her undergraduate degree in electrical engineering. She completed her Bachelor's , Master's and PhD at McGill University. Her PhD considered object recognition using entropy maps. Her PhD thesis was awarded the D.W. Ambridge Prize for the best dissertation in Physical Sciences and Engineering at McGill University. After completing her PhD, Arbel worked at the Montreal Neurological Hospital, where she developed computer vision methods for neurology and neurosurgery. She became interested in using software to detect tumours and lesions in brain images.
Tal Arbel's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (2015) (3526)
- Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (2018) (1050)
- Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge (2011) (442)
- Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (2017) (312)
- Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation (2018) (310)
- Why rankings of biomedical image analysis competitions should be interpreted with care (2018) (165)
- Evaluating intensity normalization on MRIs of human brain with multiple sclerosis (2011) (148)
- Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion (2009) (116)
- Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (2017) (115)
- Feature-based morphometry: Discovering group-related anatomical patterns (2010) (111)
- Viewpoint selection by navigation through entropy maps (1999) (98)
- Automatic non-linear MRI-ultrasound registration for the correction of intra-operative brain deformations (2001) (94)
- Entropy-based gaze planning (2001) (81)
- Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images (2016) (78)
- Common Limitations of Image Processing Metrics: A Picture Story (2021) (74)
- Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty (2012) (72)
- Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions (2018) (68)
- Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI (2013) (67)
- BIAS: Transparent reporting of biomedical image analysis challenges (2019) (66)
- Accounting for Variance in Machine Learning Benchmarks (2021) (66)
- Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis (2020) (65)
- IBIS: an OR ready open-source platform for image-guided neurosurgery (2017) (65)
- Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes (2013) (56)
- Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition (2006) (53)
- Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields (2012) (50)
- A Statistical Parts-Based Model of Anatomical Variability (2007) (47)
- Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information (2006) (47)
- Metrics reloaded: Pitfalls and recommendations for image analysis validation (2022) (43)
- Gender classification from unconstrained video sequences (2010) (41)
- Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI (2014) (39)
- How to Exploit Weaknesses in Biomedical Challenge Design and Organization (2018) (36)
- Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data (2019) (36)
- Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss (2017) (35)
- Robust semi-automatic head pose labeling for real-world face video sequences (2014) (35)
- HIERARCHICAL MRF AND RANDOM FOREST SEGMENTATION OF MS LESIONS AND HEALTHY TISSUES IN BRAIN MRI (2015) (33)
- Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information (2015) (33)
- Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations (2013) (32)
- Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures (2017) (30)
- MS Lesion Segmentation using Markov Random Fields (2009) (29)
- Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields (2019) (26)
- 3D U-Net for Brain Tumour Segmentation (2018) (26)
- Group Formation by Two-Year Olds (1980) (26)
- Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model (2014) (25)
- Informative Views and Sequential Recognition (1996) (25)
- Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI (2015) (25)
- Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos (2015) (25)
- A developmental study of the role of word order in comprehending Hebrew. (1980) (24)
- Learning to estimate out-of-plane motion in ultrasound imagery of real tissue (2011) (24)
- Probabilistic Gabor and Markov Random Fields Segmentation of B rain Tumours in MRI Volumes (2012) (24)
- Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters (2006) (24)
- Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3-D Ultrasound (2008) (23)
- Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images (2016) (22)
- A fast discriminant approach to active object recognition and pose estimation (2004) (21)
- Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases (2018) (21)
- Generalizing Inverse Compositional and ESM Image Alignment (2010) (21)
- Entropy-of-likelihood feature selection for image correspondence (2003) (20)
- Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging (2016) (19)
- Detection Over Viewpoint via the Object Class Invariant (2006) (19)
- Developmental changes in assigning agent relations in Hebrew: The interaction between word order and structural cues (1981) (18)
- RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours (2018) (18)
- Bayesian and grAphical Models for Biomedical Imaging (2014) (18)
- IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI (2015) (18)
- Recognizing volumetric objects in the presence of uncertainty (1994) (17)
- Maximum a Posteriori Local Histogram Estimation for Image Registration (2005) (17)
- Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information (2010) (16)
- Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference (2019) (16)
- Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI (2013) (15)
- Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery (2012) (15)
- Soft biometric trait classification from real-world face videos conditioned on head pose estimation (2012) (15)
- Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images (2010) (15)
- Deformable Ultrasound Registration without Reconstruction (2008) (14)
- Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields (2010) (14)
- Uncertainty Evaluation Metric for Brain Tumour Segmentation (2020) (13)
- Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos (2016) (13)
- Active Bayesian color constancy with non-uniform sensors (2002) (12)
- On the Sequential Accumulation of Evidence (2001) (12)
- CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images (2020) (12)
- Generalizing inverse compositional image alignment (2006) (12)
- Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment (2017) (12)
- Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation (2017) (12)
- Anytime similarity measures for faster alignment (2008) (12)
- QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results (2021) (12)
- Generalized poisson 3-D scatterer distributions (2009) (11)
- Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics (2017) (11)
- Improving Pathological Structure Segmentation via Transfer Learning Across Diseases (2019) (10)
- Multi-layer temporal graphical model for head pose estimation in real-world videos (2014) (10)
- Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis (2010) (10)
- Feature-Based Morphometry (2009) (10)
- Spatial and probabilistic codebook template based head pose estimation from unconstrained environments (2011) (10)
- Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care (2019) (10)
- Fetal, Infant and Ophthalmic Medical Image Analysis (2017) (10)
- Recognizing Objects From Curvilinear Motion (2000) (9)
- A Statistical Parts-Based Appearance Model of Inter-subject Variability (2006) (9)
- Structured deep Fisher pruning for efficient facial trait classification (2018) (9)
- Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials (2017) (9)
- A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions (2014) (8)
- A sequential Bayesian approach to color constancy using non-uniform filters (2009) (8)
- Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment (2015) (8)
- Task dependent deep LDA pruning of neural networks (2020) (8)
- Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis (2012) (8)
- Improvements to the itk::KernelTransform and Subclasses (2007) (8)
- Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames (2007) (8)
- HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images (2021) (7)
- Uncertainty Driven Probabilistic Voxel Selection for Image Registration (2013) (7)
- Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling (2007) (6)
- Minimizing the Sum of Absolute Deviations (1985) (6)
- Fast Image Alignment Using Anytime Algorithms (2007) (6)
- Measurement Selection in Untracked Freehand 3D Ultrasound (2010) (5)
- Interactive visual dialog (2002) (5)
- Probabilistic Speckle Decorrelation for 3D Ultrasound (2007) (5)
- On Learning Fairness and Accuracy on Multiple Subgroups (2022) (5)
- CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels (2018) (5)
- Parametric shape recognition using a probabilistic inverse theory (1996) (4)
- The importance of scale when selecting pixels for image registration (2007) (4)
- Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers (2022) (4)
- A FRACTAL MULTI-DIMENSIONAL ULTRASOUND SCATTERER DISTRIBUTION MODEL (2007) (4)
- Learning a tissue invariant ultrasound speckle decorrelation model (2009) (4)
- Efficient Gender Classification Using a Deep LDA-Pruned Net (2017) (3)
- 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 (2019) (3)
- Understanding metric-related pitfalls in image analysis validation (2023) (3)
- Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (2018) (2)
- Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI (2019) (2)
- Grow-push-prune: Aligning deep discriminants for effective structural network compression (2020) (2)
- Social Organization of Young Children's Groups: A Comparison of Two Models of Dominance Relations (1980) (2)
- Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting (2021) (2)
- Clinical Image-Based Procedures. Translational Research in Medical Imaging (2015) (2)
- Automatically learning cortical folding patterns (2009) (2)
- Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database (2016) (2)
- Fast and efficient image registration based on gradient orientations of minimal uncertainty (2015) (2)
- Piecewise affine initialized spline-based patient-specific registration of a high-resolution ear model for surgical guidance (2009) (2)
- Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation (2023) (1)
- Biomedical Image Analysis Challenges (BIAS) Reporting Guideline (2020) (1)
- Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration (2012) (1)
- Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning (2022) (1)
- Shannon information based adaptive sampling for action recognition (2016) (1)
- A Homogeneous Transform Class for the ITK (2007) (1)
- P.107 Personalized prediction of future lesion activity and treatment effect in multiple sclerosis from baseline MRI (2022) (1)
- Deep discriminant analysis for task-dependent compact network search (2020) (1)
- Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation (2021) (1)
- Segmentation-Consistent Probabilistic Lesion Counting (2022) (1)
- Rate of Agreement for Manual and Automated Techniques for Determination of New T2 Lesions in Children with Multiple Sclerosis and Acute Demyelination (P2.242) (2014) (1)
- Information Gain Sampling for Active Learning in Medical Image Classification (2022) (1)
- SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels (2014) (1)
- Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information (2011) (1)
- The American Soldier in Jerusalem: How Social Science and Social Scientists Travel (2016) (1)
- Task-specific Deep LDA pruning of neural networks (2018) (1)
- Exploring Cortical Folding Pattern Variability Using Local Image Features (2010) (0)
- Estimating treatment effect for individuals with progressive multiple sclerosis using deep learning (2021) (0)
- Parts-Based Appearance Modeling of Medical Imagery (2009) (0)
- Heatmap Regression for Lesion Detection using Pointwise Annotations (2022) (0)
- Improving The Oriented Image Class For Use In The Registration Framework (2007) (0)
- Robust semi-automatic head pose labeling for real-world face video sequences (2013) (0)
- Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis (2016) (0)
- Common Limitations of Image Processing Metrics (2021) (0)
- Fisher Pruning of Deep Nets for Facial Trait Classification (2018) (0)
- Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care (2019) (0)
- Why rankings of biomedical image analysis competitions should be interpreted with care (2018) (0)
- Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis (2020) (0)
- Informative Views and Sequential Recognition Informative Views and Sequential Recognition (1995) (0)
- Parts-based modelling of medical imagery (2009) (0)
- Introduction: Medical Mobilities in the Modern Middle East and North Africa (2022) (0)
- GP.2 Deep learning prediction of response to disease modifying therapy in primary progressive multiple sclerosis (2022) (0)
- Hierarchical Conditional Random Fields for Myocardium Infarction Detection (2012) (0)
- Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors (2022) (0)
- MORPHOMETRYGroup-related Anatomical Patterns (2010) (0)
- Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation (2022) (0)
- University of Dundee Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population Fetit, (2017) (0)
- How can we do better ? Pitfalls in biomedical challenge design and how to address them (2018) (0)
- Prediction of Progression in Multiple Sclerosis Patients (2018) (0)
- Challenging Conventional Segmentation Evaluation Metrics Focal Pathology ( Lesion and Tumour ) Segmentation from Patient Images (2018) (0)
- Representation learning for cross-modality classification Representation Learning for Cross-Modality Classi(cid:12)cation Cross-Modality (2016) (0)
- Fear in Hebrew (2019) (0)
- Preface BAMBI 2016 (2017) (0)
- Deep LDA-Pruned Nets for Efficient Facial Gender Classification (2021) (0)
- Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track (2020) (0)
- Aaron Panofsky, Misbehaving Science: Controversy and the Development of Behavior Genetics. Chicago: The University of Chicago Press, 2014. Pp. xi + 321. ISBN 978-0226-05845-0. £19.50 (paperback). (2017) (0)
- Effectiveness of Intensity Normalization on Human Brain MRIs with Multiple Sclerosis (2009) (0)
- Balancing new technology: Virtual reality for balance measurement case report (2023) (0)
- Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis (2023) (0)
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