Tal Arbel

Orcid: 0000-0001-8870-3007

Affiliations:
  • McGill University, Canada


According to our database1, Tal Arbel authored at least 130 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling.
CoRR, 2024

2023
Grow-push-prune: Aligning deep discriminants for effective structural network compression.
Comput. Vis. Image Underst., June, 2023

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles.
CoRR, 2023

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.
CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis.
Proceedings of the Medical Imaging with Deep Learning, 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

Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Debiasing Counterfactuals in the Presence of Spurious Correlations.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 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

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

On Learning Fairness and Accuracy on Multiple Subgroups.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Segmentation-Consistent Probabilistic Lesion Counting.
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

Heatmap Regression for Lesion Detection Using Pointwise Annotations.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Information Gain Sampling for Active Learning in Medical Image Classification.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 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
Task dependent deep LDA pruning of neural networks.
Comput. Vis. Image Underst., 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting.
CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.
CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.
CoRR, 2021


HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2020
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
Medical Image Anal., 2020

BIAS: Transparent reporting of biomedical image analysis challenges.
Medical Image Anal., 2020

Deep discriminant analysis for task-dependent compact network search.
CoRR, 2020

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track.
CoRR, 2020

Uncertainty Evaluation Metric for Brain Tumour Segmentation.
CoRR, 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
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

Improving Pathological Structure Segmentation via Transfer Learning Across Diseases.
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
Structured deep Fisher pruning for efficient facial trait classification.
Image Vis. Comput., 2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018

Fisher Pruning of Deep Nets for Facial Trait Classification.
CoRR, 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


3D U-Net for Brain Tumour Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

2017
Efficient Gender Classification Using a Deep LDA-Pruned Net.
CoRR, 2017

IBIS: an OR ready open-source platform for image-guided neurosurgery.
Int. J. Comput. Assist. Radiol. Surg., 2017

Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 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

Deep LDA-Pruned Nets for Efficient Facial Gender Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

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

Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images.
Medical Image Anal., 2016

Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis.
Comput. Vis. Image Underst., 2016

Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Shannon information based adaptive sampling for action recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 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

Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos.
Comput. Vis. Image Underst., 2015

Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2015

Fast and efficient image registration based on gradient orientations of minimal uncertainty.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 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
Robust semi-automatic head pose labeling for real-world face video sequences.
Multim. Tools Appl., 2014

SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels.
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

Multi-layer temporal graphical model for head pose estimation in real-world videos.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model.
Proceedings of the Computer Vision - ECCV 2014, 2014

Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

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

2013
Uncertainty Driven Probabilistic Voxel Selection for Image Registration.
IEEE Trans. Medical Imaging, 2013

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

Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations.
Int. J. Comput. Assist. Radiol. Surg., 2013

Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 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

2012
Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty.
IEEE Trans. Medical Imaging, 2012

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

Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

Hierarchical Conditional Random Fields for Myocardium Infarction Detection.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 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

Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2012

Soft biometric trait classification from real-world face videos conditioned on head pose estimation.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge.
IEEE Trans. Medical Imaging, 2011

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

Learning to estimate out-of-plane motion in ultrasound imagery of real tissue.
Medical Image Anal., 2011

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

Spatial and probabilistic codebook template based head pose estimation from unconstrained environments.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Feature-based morphometry: Discovering group-related anatomical patterns.
NeuroImage, 2010

Generalizing Inverse Compositional and ESM Image Alignment.
Int. J. Comput. Vis., 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

Exploring Cortical Folding Pattern Variability Using Local Image Features.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Measurement Selection in Untracked Freehand 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 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

Gender classification from unconstrained video sequences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

A sequential Bayesian approach to color constancy using non-uniform filters.
Comput. Vis. Image Underst., 2009

Feature-Based Morphometry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Automatically Learning Cortical Folding Patterns.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Learning a Tissue Invariant Ultrasound Speckle Decorrelation Model.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3-D Ultrasound.
IEEE Trans. Medical Imaging, 2008

Anytime similarity measures for faster alignment.
Comput. Vis. Image Underst., 2008

Deformable Ultrasound Registration without Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
A Statistical Parts-Based Model of Anatomical Variability.
IEEE Trans. Medical Imaging, 2007

Probabilistic Speckle Decorrelation for 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

A Fractal Multi-Dimensional Ultrasound Scatterer Distribution Model.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Fast Image Alignment Using Anytime Algorithms.
Proceedings of the IJCAI 2007, 2007

Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

The importance of scale when selecting pixels for image registration.
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling.
Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

2006
Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition.
Int. J. Comput. Vis., 2006

A Statistical Parts-Based Appearance Model of Inter-subject Variability.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Detection Over Viewpoint via the Object Class Invariant.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

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

Generalizing inverse compositional image alignment.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Maximum a Posteriori Local Histogram Estimation for Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004
A Fast Discriminant Approach to Active Object Recognition and Pose Estimation.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Entropy-of-likelihood Feature Selection for Image Correspondence.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Interactive visual dialog.
Image Vis. Comput., 2002

Active Bayesian Color Constancy with Non-Uniform Sensors.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Entropy-based gaze planning.
Image Vis. Comput., 2001

On the Sequential Accumulation of Evidence.
Int. J. Comput. Vis., 2001

Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

2000
Recognizing Objects From Curvilinear Motion.
Proceedings of the British Machine Vision Conference 2000, 2000

1999
Viewpoint Selection by Navigation through Entropy Maps.
Proceedings of the International Conference on Computer Vision, 1999

1996
Parametric shape recognition using a probabilistic inverse theory.
Pattern Recognit. Lett., 1996

Informative Views and Sequential Recognition.
Proceedings of the Computer Vision, 1996

1994
Recognizing volumetric objects in the presence of uncertainty.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994


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