Publications by authors named "Tammy Riklin-Raviv"

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Serum Galectin-9 and Decorin in relation to brain aging and the green-Mediterranean diet: A secondary analysis of the DIRECT PLUS randomized trial.
Dafna Pachter, Anat Yaskolka Meir, Alon Kaplan, Gal Tsaban, Hila Zelicha

Clin Nutr· October 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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Fine hippocampal morphology analysis with a multi-dataset cross-sectional study on 2911 subjects.
Qinzhu Yang, Guojing Chen, Zhi Yang, Tammy Riklin Raviv, Yi Gao

Neuroimage Clin· September 2024

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Deep learning-based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention.
Ofek Finkelstein, Gidon Levakov, Alon Kaplan, Hila Zelicha, Anat Yaskolka Meir

Hum Brain Mapp· February 2024

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Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation.
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv

IEEE Trans Pattern Anal Mach Intell· October 2023

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Fine scale hippocampus morphology variation cross 552 healthy subjects from age 20 to 80.
Qinzhu Yang, Shuxiu Cai, Guojing Chen, Xiaxia Yu, Renee F Cattell

Front Neurosci· August 2023

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The Cell Tracking Challenge: 10 years of objective benchmarking.
Martin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, Estibaliz Gómez-de-Mariscal, Tereza Nečasová

Nat Methods· July 2023

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Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos.
Assaf Arbelle, Shaked Cohen, Tammy Riklin Raviv

IEEE Trans Med Imaging· February 2022

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An atlas of classifiers-a machine learning paradigm for brain MRI segmentation.
Shiri Gordon, Boris Kodner, Tal Goldfryd, Michael Sidorov, Jacob Goldberger

Med Biol Eng Comput· September 2021

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Subsampled brain MRI reconstruction by generative adversarial neural networks.
Roy Shaul, Itamar David, Ohad Shitrit, Tammy Riklin Raviv

Med Image Anal· October 2020

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From a deep learning model back to the brain-Identifying regional predictors and their relation to aging.
Gidon Levakov, Gideon Rosenthal, Ilan Shelef, Tammy Riklin Raviv, Galia Avidan

Hum Brain Mapp· August 2020

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Miswiring of Frontostriatal Projections in Schizophrenia.
James J Levitt, Paul G Nestor, Marek Kubicki, Amanda E Lyall, Fan Zhang, Tammy Riklin-Raviv

Schizophr Bull· July 2020

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Slow blood-to-brain transport underlies enduring barrier dysfunction in American football players.
Ronel Veksler, Udi Vazana, Yonatan Serlin, Ofer Prager, Jonathan Ofer, Tammy Riklin-Raviv

Brain· June 2020

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Combining white matter diffusion and geometry for tract-specific alignment and variability analysis.
Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv

Neuroimage· October 2019

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Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy.
Topaz Gilad, Jose Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv

Bioinformatics· August 2019

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Multidimensional co-segmentation of longitudinal brain MRI ensembles in the presence of a neurodegenerative process.
Shiri Gordon, Irit Dolgopyat, Itamar Kahn, Tammy Riklin Raviv

Neuroimage· September 2018

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A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos.
Assaf Arbelle, Jose Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv

Med Image Anal· July 2018

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A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation--With Application to Tumor and Stroke.
Bjoern H Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia

IEEE Trans Med Imaging· April 2016

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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani

IEEE Trans Med Imaging· October 2015

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Shape analysis, a field in need of careful validation.
Yi Gao, Tammy Riklin-Raviv, Sylvain Bouix

Hum Brain Mapp· October 2014

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A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation.
Eva Dittrich, Tammy Riklin Raviv, Gregor Kasprian, René Donner, Peter C Brugger

Med Image Anal· January 2014

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An image analysis toolbox for high-throughput C. elegans assays.
Carolina Wählby, Lee Kamentsky, Zihan H Liu, Tammy Riklin-Raviv, Annie L Conery

Nat Methods· April 2012

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Morphology-guided graph search for untangling objects: C. elegans analysis.
Tammy Riklin Raviv, V Ljosa, A L Conery, F M Ausubel, A E Carpenter

Med Image Comput Comput Assist Interv· November 2010

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Segmentation of image ensembles via latent atlases.
Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H Menze, William M Wells, Polina Golland

Med Image Anal· October 2010

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RESOLVING CLUSTERED WORMS VIA PROBABILISTIC SHAPE MODELS.
Carolina Wählby, Tammy Riklin-Raviv, Vebjorn Ljosa, Annie L Conery, Polina Golland

Proc IEEE Int Symp Biomed Imaging· June 2010

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