Publications by authors named "Tal Arbel"

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Improving Robustness and Reliability in Medical Image Classification With Latent-Guided Diffusion and Nested-Ensembles.
Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel

IEEE Trans Med Imaging· December 2025

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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,

Med Image Anal· May 2025

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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, Tal Arbel

Front Artif Intell· April 2025

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Understanding metric-related pitfalls in image analysis validation.
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tal Arbel

ArXiv· February 2024

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Understanding metric-related pitfalls in image analysis validation.
Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tal Arbel

Nat Methods· February 2024

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Metrics reloaded: recommendations for image analysis validation.
Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D Tizabi, Florian Buettner, Tal Arbel

Nat Methods· February 2024

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Virtual reality in the management of stress and anxiety disorders: A retrospective analysis of 61 people treated in the metaverse.
Eran Orr, Tal Arbel, Miki Levy, Yaron Sela, Omer Weissberger

Heliyon· July 2023

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Virtual reality in the management of patients with low back and neck pain: a retrospective analysis of 82 people treated solely in the metaverse.
Eran Orr, Tal Arbel, Miki Levy, Yaron Sela, Omer Weissberger

Arch Physiother· May 2023

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Balancing new technology: Virtual reality for balance measurement case report.
Omer Weissberger, Eran Orr, Miki Levy, Shani Kimel-Naor, Meir Plotnik, Tal Arbel

Medicine (Baltimore)· February 2023

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Introduction: Medical Mobilities in the Modern Middle East and North Africa.
Liat Kozma, Tal Arbel, Nicole Khayat

Bull Hist Med· December 2022

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Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning.
Jean-Pierre R Falet, Joshua Durso-Finley, Brennan Nichyporuk, Julien Schroeter, Francesca Bovis, Tal Arbel

Nat Commun· September 2022

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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Pablo Arbeláez, Tal Arbel

J Mach Learn Biomed Imaging· August 2022

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Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.
Raghav Mehta, Thomas Christinck, Tanya Nair, Aurelie Bussy, Swapna Premasiri, Tal Arbel

IEEE Trans Med Imaging· February 2022

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BIAS: Transparent reporting of biomedical image analysis challenges.
Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L Martel, Tal Arbel

Med Image Anal· December 2020

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Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis.
Aaron Carass, Snehashis Roy, Adrian Gherman, Jacob C Reinhold, Andrew Jesson, Tal Arbel

Sci Rep· May 2020

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Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
Tanya Nair, Doina Precup, Douglas L Arnold, Tal Arbel

Med Image Anal· January 2020

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Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields.
Nagesh K Subbanna, Deepthi Rajashekar, Bastian Cheng, Götz Thomalla, Jens Fiehler, Tal Arbel

Front Neurol· May 2019

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Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care.
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Tal Arbel

Nat Commun· January 2019

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Why rankings of biomedical image analysis competitions should be interpreted with care.
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Tal Arbel

Nat Commun· December 2018

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Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases.
Ian J Gerard, Marta Kersten-Oertel, Simon Drouin, Jeffery A Hall, Kevin Petrecca, Tal Arbel

J Med Imaging (Bellingham)· April 2018

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IBIS: an OR ready open-source platform for image-guided neurosurgery.
Simon Drouin, Anna Kochanowska, Marta Kersten-Oertel, Ian J Gerard, Rina Zelmann, Tal Arbel

Int J Comput Assist Radiol Surg· March 2017

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Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.
Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L Cuzzocreo, Elizabeth Magrath, Tal Arbel

Neuroimage· March 2017

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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· June 2016

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Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images.
Rashed Karim, Pranav Bhagirath, Piet Claus, R James Housden, Zhong Chen, Tal Arbel

Med Image Anal· May 2016

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IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI.
Nagesh Subbanna, Doina Precup, Douglas Arnold, Tal Arbel

Inf Process Med Imaging· September 2015

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