Recognizing volumetric objects in the presence of uncertainty. - Tal Arbel; Peter Whaite; Frank P. Ferrie (ICPR (1), 1994)

Informative Views and Sequential Recognition. - Tal Arbel; Frank P. Ferrie (ECCV (1), 1996)

Parametric shape recognition using a probabilistic inverse theory. - Tal Arbel; Peter Whaite; Frank P. Ferrie (Pattern Recognit. Lett., 1996)

Viewpoint Selection by Navigation through Entropy Maps. - Tal Arbel; Frank P. Ferrie (ICCV, 1999)

Recognizing Objects From Curvilinear Motion. - Tal Arbel; Frank P. Ferrie; Marcel Mitran (BMVC, 2000)

Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations. - Tal Arbel; Xavier Morandi; Roch M. Comeau; D. Louis Collins (MICCAI, 2001)

On the Sequential Accumulation of Evidence. - Tal Arbel; Frank P. Ferrie (Int. J. Comput. Vis., 2001)

Entropy-based gaze planning. - Tal Arbel; Frank P. Ferrie (Image Vis. Comput., 2001)

Active Bayesian Color Constancy with Non-Uniform Sensors. - Sandra Skaff; Tal Arbel; James J. Clark (ICPR (2), 2002)

Interactive visual dialog. - Tal Arbel; Frank P. Ferrie (Image Vis. Comput., 2002)

Entropy-of-likelihood Feature Selection for Image Correspondence. - Matthew Toews; Tal Arbel (ICCV, 2003)

A Fast Discriminant Approach to Active Object Recognition and Pose Estimation. - Catherine Laporte; Rupert Brooks; Tal Arbel (ICPR (3), 2004)

Maximum a Posteriori Local Histogram Estimation for Image Registration. - Matthew Toews; D. Louis Collins; Tal Arbel (MICCAI (2), 2005)

Generalizing inverse compositional image alignment. - Rupert Brooks; Tal Arbel (ICPR (2), 2006)

Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information. - Rola Harmouche; D. Louis Collins; Douglas L. Arnold; Simon J. Francis; Tal Arbel (ICPR (3), 2006)

Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters. - Frank Riggi; Matthew Toews; Tal Arbel (ICPR (2), 2006)

Detection Over Viewpoint via the Object Class Invariant. - Matthew Toews; Tal Arbel (ICPR (1), 2006)

A Statistical Parts-Based Appearance Model of Inter-subject Variability. - Matthew Toews; D. Louis Collins; Tal Arbel (MICCAI (1), 2006)

Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition. - Catherine Laporte; Tal Arbel (Int. J. Comput. Vis., 2006)

Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling. - Matthew Toews; Tal Arbel (AMFG, 2007)

The importance of scale when selecting pixels for image registration. - Rupert Brooks; Tal Arbel (CRV, 2007)

Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames. - Matthew Toews; Tal Arbel (ICCV, 2007)

Fast Image Alignment Using Anytime Algorithms. - Rupert Brooks; Tal Arbel; Doina Precup (IJCAI, 2007)

A Fractal Multi-Dimensional Ultrasound Scatterer Distribution Model. - Catherine Laporte; James J. Clark; Tal Arbel (ISBI, 2007)

Probabilistic Speckle Decorrelation for 3D Ultrasound. - Catherine Laporte; Tal Arbel (MICCAI (1), 2007)

A Statistical Parts-Based Model of Anatomical Variability. - Matthew Toews; Tal Arbel (IEEE Trans. Medical Imaging, 2007)

Deformable Ultrasound Registration without Reconstruction. - Rupert Brooks; D. Louis Collins; Xavier Morandi; Tal Arbel (MICCAI (2), 2008)

Anytime similarity measures for faster alignment. - Rupert Brooks; Tal Arbel; Doina Precup (Comput. Vis. Image Underst., 2008)

Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3-D Ultrasound. - Catherine Laporte; Tal Arbel (IEEE Trans. Medical Imaging, 2008)

Learning a Tissue Invariant Ultrasound Speckle Decorrelation Model. - Catherine Laporte; Tal Arbel (ISBI, 2009)

Automatically Learning Cortical Folding Patterns. - Matthew Toews; D. Louis Collins; Tal Arbel (ISBI, 2009)

Feature-Based Morphometry. - Matthew Toews; William M. Wells III; D. Louis Collins; Tal Arbel (MICCAI (1), 2009)

A sequential Bayesian approach to color constancy using non-uniform filters. - Sandra Skaff; Tal Arbel; James J. Clark (Comput. Vis. Image Underst., 2009)

Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion. - Matthew Toews; Tal Arbel (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Gender classification from unconstrained video sequences. - Meltem Demirkus; Matthew Toews; James J. Clark; Tal Arbel (CVPR Workshops, 2010)

Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images. - Colm Elliott; Simon J. Francis; Douglas L. Arnold; D. Louis Collins; Tal Arbel (MICCAI (2), 2010)

Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields. - Zahra Karimaghaloo; Mohak Shah; Simon J. Francis; Douglas L. Arnold; D. Louis Collins; Tal Arbel (MICCAI (3), 2010)

Measurement Selection in Untracked Freehand 3D Ultrasound. - Catherine Laporte; Tal Arbel (MICCAI (1), 2010)

Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information. - Dante De Nigris; Laurence Mercier; Rolando Del Maestro; D. Louis Collins; Tal Arbel (MICCAI (2), 2010)

Exploring Cortical Folding Pattern Variability Using Local Image Features. - Rishi Rajalingham; Matthew Toews; D. Louis Collins; Tal Arbel (MCV, 2010)

Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis. - Yiming Xiao; Mohak Shah; Simon J. Francis; Douglas L. Arnold; Tal Arbel; D. Louis Collins (MLMI, 2010)

Generalizing Inverse Compositional and ESM Image Alignment. - Rupert Brooks; Tal Arbel (Int. J. Comput. Vis., 2010)

Feature-based morphometry: Discovering group-related anatomical patterns. - Matthew Toews; William M. Wells III; D. Louis Collins; Tal Arbel (NeuroImage, 2010)

Spatial and probabilistic codebook template based head pose estimation from unconstrained environments. - Meltem Demirkus; Boris N. Oreshkin; James J. Clark; Tal Arbel (ICIP, 2011)

Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information. - Nagesh K. Subbanna; Simon J. Francis; Doina Precup; D. Louis Collins; Douglas L. Arnold; Tal Arbel (MIUA, 2011)

Learning to estimate out-of-plane motion in ultrasound imagery of real tissue. - Catherine Laporte; Tal Arbel (Medical Image Anal., 2011)

Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. - Mohak Shah; Yiming Xiao; Nagesh K. Subbanna; Simon J. Francis; Douglas L. Arnold; D. Louis Collins; Tal Arbel (Medical Image Anal., 2011)

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. - Keelin Murphy; Bram van Ginneken; Joseph M. Reinhardt; Sven Kabus; Kai Ding 003; Xiang Deng; Kunlin Cao; Kaifang Du; Gary E. Christensen; Vincent Garcia; Tom Vercauteren; Nicholas Ayache; et al. (IEEE Trans. Medical Imaging, 2011)

Soft biometric trait classification from real-world face videos conditioned on head pose estimation. - Meltem Demirkus; Doina Precup; James J. Clark; Tal Arbel (CVPR Workshops, 2012)

Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery. - Dante De Nigris; D. Louis Collins; Tal Arbel (IPCAI, 2012)

Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis. - Zahra Karimaghaloo; Douglas L. Arnold; D. Louis Collins; Tal Arbel (MICCAI (2), 2012)

Hierarchical Conditional Random Fields for Myocardium Infarction Detection. - Zahra Karimaghaloo; Hassan Rivaz; Tal Arbel (STACOM, 2012)

Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration. - Boris N. Oreshkin; Tal Arbel (WBIR, 2012)

Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields. - Zahra Karimaghaloo; Mohak Shah; Simon J. Francis; Douglas L. Arnold; D. Louis Collins; Tal Arbel (IEEE Trans. Medical Imaging, 2012)

Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty. - Dante De Nigris; D. Louis Collins; Tal Arbel (IEEE Trans. Medical Imaging, 2012)

Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI. - Zahra Karimaghaloo; Hassan Rivaz; Douglas L. Arnold; D. Louis Collins; Tal Arbel (MICCAI (3), 2013)

Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes. - Nagesh K. Subbanna; Doina Precup; D. Louis Collins; Tal Arbel (MICCAI (1), 2013)

Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations. - Dante De Nigris; D. Louis Collins; Tal Arbel (Int. J. Comput. Assist. Radiol. Surg., 2013)

Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI. - Colm Elliott; Douglas L. Arnold; D. Louis Collins; Tal Arbel (IEEE Trans. Medical Imaging, 2013)

Uncertainty Driven Probabilistic Voxel Selection for Image Registration. - Boris N. Oreshkin; Tal Arbel (IEEE Trans. Medical Imaging, 2013)

A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions. - Colm Elliott; Douglas L. Arnold; D. Louis Collins; Tal Arbel (BAMBI, 2014)

Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI. - Nagesh K. Subbanna; Doina Precup; Tal Arbel (CVPR, 2014)

Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model. - Meltem Demirkus; Doina Precup; James J. Clark; Tal Arbel (ECCV (1), 2014)

Multi-layer temporal graphical model for head pose estimation in real-world videos. - Meltem Demirkus; Doina Precup; James J. Clark; Tal Arbel (ICIP, 2014)

SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels. - Dante De Nigris; D. Louis Collins; Tal Arbel (WBIR, 2014)

Robust semi-automatic head pose labeling for real-world face video sequences. - Meltem Demirkus; James J. Clark; Tal Arbel (Multim. Tools Appl., 2014)

IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI. - Nagesh K. Subbanna; Doina Precup; Douglas L. Arnold; Tal Arbel (IPMI, 2015)

Fast and efficient image registration based on gradient orientations of minimal uncertainty. - Tal Arbel; Dante De Nigris (ISBI, 2015)

Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment. - Ian J. Gerard; Marta Kersten-Oertel; Simon Drouin; Jeffery A. Hall; Kevin Petrecca; Dante De Nigris; Tal Arbel; D. Louis Collins (CLIP@MICCAI, 2015)

Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos. - Meltem Demirkus; Doina Precup; James J. Clark; Tal Arbel (Comput. Vis. Image Underst., 2015)

Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information. - Rola Harmouche; Nagesh K. Subbanna; D. Louis Collins; Douglas L. Arnold; Tal Arbel (IEEE Trans. Biomed. Eng., 2015)

Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. - Zahra Karimaghaloo; Hassan Rivaz; Douglas L. Arnold; D. Louis Collins; Tal Arbel (IEEE Trans. Medical Imaging, 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - Bjoern H. Menze; András Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin S. Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth R. Gerstner; et al. (IEEE Trans. Medical Imaging, 2015)

Shannon information based adaptive sampling for action recognition. - Qing Tian 003; Tal Arbel; James J. Clark (ICPR, 2016)

Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database. - Ian J. Gerard; C. Couturier; Marta Kersten-Oertel; Simon Drouin; Dante De Nigris; Jeffery A. Hall; Kelvin Mok; Kevin Petrecca; Tal Arbel; D. Louis Collins (BrainLes@MICCAI, 2016)

Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis. - Tal Arbel; Manuel Jorge Cardoso; William M. Wells III; Albert C. S. Chung; Doina Precup (Comput. Vis. Image Underst., 2016)

Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images. - Rashed Karim; Pranav Bhagirath; Piet Claus; Richard James Housden; Zhong Chen; Zahra Karimaghaloo; Hyon-Mok Sohn; Laura Lara Rodríguez; Sergio Vera; Xènia Albà; Anja Hennemuth; Heinz-Otto Peitgen; et al. (Medical Image Anal., 2016)

Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images. - Zahra Karimaghaloo; Douglas L. Arnold; Tal Arbel (Medical Image Anal., 2016)

Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos. - Meltem Demirkus; Doina Precup; James J. Clark; Tal Arbel (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Deep LDA-Pruned Nets for Efficient Facial Gender Classification. - Qing Tian 003; Tal Arbel; James J. Clark (CVPR Workshops, 2017)

Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials. - Andrew Doyle; Colm Elliott; Zahra Karimaghaloo; Nagesh K. Subbanna; Douglas L. Arnold; Tal Arbel (BrainLes@MICCAI, 2017)

Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation. - Andrew Doyle; Doina Precup; Douglas L. Arnold; Tal Arbel (MICCAI (3), 2017)

Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss. - Andrew Jesson; Tal Arbel (BrainLes@MICCAI, 2017)

IBIS: an OR ready open-source platform for image-guided neurosurgery. - Simon Drouin; Anna Kochanowska; Marta Kersten-Oertel; Ian J. Gerard; Rina Zelmann; Dante De Nigris; Silvain Bériault; Tal Arbel; Denis Sirhan; Abbas F. Sadikot; Jeffery A. Hall; David S. Sinclair; et al. (Int. J. Comput. Assist. Radiol. Surg., 2017)

Efficient Gender Classification Using a Deep LDA-Pruned Net. - Qing Tian 003; Tal Arbel; James J. Clark (CoRR, 2017)

RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours. - Raghav Mehta; Tal Arbel (SASHIMI@MICCAI, 2018)

3D U-Net for Brain Tumour Segmentation. - Raghav Mehta; Tal Arbel (BrainLes@MICCAI (2), 2018)

How to Exploit Weaknesses in Biomedical Challenge Design and Organization. - Annika Reinke; Matthias Eisenmann; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Peter M. Full; Hrvoje Bogunovic; Bennett A. Landman; Oskar Maier; Bjoern H. Menze; Gregory C. Sharp; Korsuk Sirinukunwattana; et al. (MICCAI (4), 2018)

CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels. - Nazanin Mohammadi Sepahvand; Tal Hassner; Douglas L. Arnold; Tal Arbel (BrainLes@MICCAI (1), 2018)

Fisher Pruning of Deep Nets for Facial Trait Classification. - Qing Tian 003; Tal Arbel; James J. Clark (CoRR, 2018)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (CoRR, 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Structured deep Fisher pruning for efficient facial trait classification. - Qing Tian 003; Tal Arbel; James J. Clark (Image Vis. Comput., 2018)

Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. - Joshua Durso-Finley; Douglas L. Arnold; Tal Arbel (BrainLes@MICCAI (1), 2019)

Improving Pathological Structure Segmentation via Transfer Learning Across Diseases. - Barleen Kaur; Paul Lemaître; Raghav Mehta; Nazanin Mohammadi Sepahvand; Doina Precup; Douglas L. Arnold; Tal Arbel (DART/MIL3ID@MICCAI, 2019)

Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference. - Raghav Mehta; Thomas Christinck; Tanya Nair; Paul Lemaître; Douglas L. Arnold; Tal Arbel (UNSURE/CLIP@MICCAI, 2019)

Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data. - Adrian Tousignant; Paul Lemaître; Doina Precup; Douglas L. Arnold; Tal Arbel (MIDL, 2019)

CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images. - Nazanin Mohammadi Sepahvand; Douglas L. Arnold; Tal Arbel (ISBI, 2020)

Uncertainty Evaluation Metric for Brain Tumour Segmentation. - Raghav Mehta; Angelos Filos; Yarin Gal; Tal Arbel (CoRR, 2020)

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. - Tal Arbel; Ismail Ben Ayed; Marleen de Bruijne; Maxime Descoteaux; Herve Lombaert; Chris Pal (CoRR, 2020)

Deep discriminant analysis for task-dependent compact network search. - Qing Tian 003; Tal Arbel; James J. Clark (CoRR, 2020)

BIAS: Transparent reporting of biomedical image analysis challenges. - Lena Maier-Hein; Annika Reinke; Michal Kozubek 001; Anne L. Martel; Tal Arbel; Matthias Eisenmann; Allan Hanbury; Pierre Jannin; Henning Müller; Sinan Onogur; Julio Saez-Rodriguez; Bram van Ginneken; et al. (Medical Image Anal., 2020)

Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation. - Tanya Nair; Doina Precup; Douglas L. Arnold; Tal Arbel (Medical Image Anal., 2020)

Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. - Brennan Nichyporuk; Jillian Cardinell; Justin Szeto; Raghav Mehta; Sotirios A. Tsaftaris; Douglas L. Arnold; Tal Arbel (DART/FAIR@MICCAI, 2021)

HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. - Saverio Vadacchino; Raghav Mehta; Nazanin Mohammadi Sepahvand; Brennan Nichyporuk; James J. Clark; Tal Arbel (MIDL, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Nazanin Mohammadi Sepahvand; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (MLSys, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Naz Sepah; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (CoRR, 2021)

Common Limitations of Image Processing Metrics: A Picture Story. - Annika Reinke; Matthias Eisenmann; Minu Dietlinde Tizabi; Carole H. Sudre; Tim Rädsch; Michela Antonelli; Tal Arbel; Spyridon Bakas; M. Jorge Cardoso; Veronika Cheplygina; Keyvan Farahani; Ben Glocker; et al. (CoRR, 2021)

Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting. - Brennan Nichyporuk; Justin Szeto; Douglas L. Arnold; Tal Arbel (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Task dependent deep LDA pruning of neural networks. - Qing Tian 003; Tal Arbel; James J. Clark (Comput. Vis. Image Underst., 2021)

Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. - Amar Kumar; Anjun Hu; Brennan Nichyporuk; Jean-Pierre R. Falet; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (AIIIMA/MIABID@MICCAI, 2022)

Information Gain Sampling for Active Learning in Medical Image Classification. - Raghav Mehta; Changjian Shui; Brennan Nichyporuk; Tal Arbel (UNSURE@MICCAI, 2022)

Heatmap Regression for Lesion Detection Using Pointwise Annotations. - Chelsea Myers-Colet; Julien Schroeter; Douglas L. Arnold; Tal Arbel (MILLanD@MICCAI, 2022)

Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. - Joshua Durso-Finley; Jean-Pierre R. Falet; Brennan Nichyporuk; Douglas L. Arnold; Tal Arbel (MIDL, 2022)

Segmentation-Consistent Probabilistic Lesion Counting. - Julien Schroeter; Chelsea Myers-Colet; Douglas L. Arnold; Tal Arbel (MIDL, 2022)

On Learning Fairness and Accuracy on Multiple Subgroups. - Changjian Shui; Gezheng Xu; Qi Chen 015; Jiaqi Li 005; Charles X. Ling; Tal Arbel; Boyu Wang 004; Christian Gagné 001 (NeurIPS, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. - Brennan Nichyporuk; Jillian Cardinell; Justin Szeto; Raghav Mehta; Jean-Pierre R. Falet; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (CoRR, 2022)

Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. - Anjun Hu; Jean-Pierre R. Falet; Brennan S. Nichyporuk; Changjian Shui; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (CoRR, 2022)

Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference. - Raghav Mehta; Thomas Christinck; Tanya Nair; Aurélie Bussy; Swapna Premasiri; Manuela Costantino; M. Mallar Chakravarthy; Douglas L. Arnold; Yarin Gal; Tal Arbel (IEEE Trans. Medical Imaging, 2022)

Debiasing Counterfactuals in the Presence of Spurious Correlations. - Amar Kumar; Nima Fathi; Raghav Mehta; Brennan Nichyporuk; Jean-Pierre R. Falet; Sotirios A. Tsaftaris; Tal Arbel (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. - Joshua Durso-Finley; Jean-Pierre R. Falet; Raghav Mehta; Douglas L. Arnold; Nick Pawlowski; Tal Arbel (MICCAI (5), 2023)

Exploring Compound Loss Functions for Brain Tumor Segmentation. - Anita Kriz; Raghav Mehta; Brennan Nichyporuk; Tal Arbel (BraTS/CrossMoDA@MICCAI, 2023)

Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. - Changjian Shui; Justin Szeto; Raghav Mehta; Douglas L. Arnold; Tal Arbel (MICCAI (3), 2023)

Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. - Raghav Mehta; Changjian Shui; Tal Arbel (MIDL, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation. - Junde Wu; Rao Fu; Huihui Fang; Yuanpei Liu; Zhaowei Wang 004; Yanwu Xu 001; Yueming Jin; Tal Arbel (CoRR, 2023)

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles. - Xing Shen 001; Hengguan Huang; Brennan Nichyporuk; Tal Arbel (CoRR, 2023)

Grow-push-prune: Aligning deep discriminants for effective structural network compression. - Qing Tian 003; Tal Arbel; James J. Clark (Comput. Vis. Image Underst., 2023)

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. - Joshua Durso-Finley; Berardino Barile; Jean-Pierre R. Falet; Douglas L. Arnold; Nick Pawlowski; Tal Arbel (MICCAI (3), 2024)

DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. - Nima Fathi; Amar Kumar; Brennan Nichyporuk; Mohammad Havaei; Tal Arbel (MIDL, 2024)

Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging. - Amar Kumar; Anita Kriz; Barak Pertzov; Tal Arbel (CVPR Workshops, 2025)

Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation. - Zahra Tehraninasab; Amar Kumar; Tal Arbel (CVPR Workshops, 2025)

The role of AI for MRI-analysis in multiple sclerosis - A brief overview. - Jean-Pierre R. Falet; Steven Nobile; Aliya Szpindel; Berardino Barile; Amar Kumar; Joshua Durso-Finley; Tal Arbel; Douglas L. Arnold (Frontiers Artif. Intell., 2025)

Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling. - Daniel Duenias; Brennan Nichyporuk; Tal Arbel; Tammy Riklin Raviv (Medical Image Anal., 2025)

Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free. - Gian Mario Favero; Parham Saremi; Emily Kaczmarek; Brennan Nichyporuk; Tal Arbel (CoRR, 2025)

PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion. - Amar Kumar; Anita Kriz; Mohammad Havaei; Tal Arbel (CoRR, 2025)

RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models. - Parham Saremi; Amar Kumar; Mohammed Mohammed; Zahra Tehraninasab; Tal Arbel (CoRR, 2025)

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification. - Xing Shen 001; Justin Szeto; Mingyang Li; Hengguan Huang; Tal Arbel (CoRR, 2025)

Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models. - Anita Kriz; Elizabeth Laura Janes; Xing Shen 001; Tal Arbel (CoRR, 2025)

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images. - Zahra Tehraninasab; Amar Kumar; Tal Arbel (CoRR, 2025)

AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation. - Nima Fathi; Amar Kumar; Tal Arbel (CoRR, 2025)