The Quotient Image: Class Based Recognition and Synthesis under Varying Illumination Conditions. - Tammy Riklin-Raviv; Amnon Shashua (CVPR, 1999)

The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations. - Amnon Shashua; Tammy Riklin-Raviv (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Unlevel-Sets: Geometry and Prior-Based Segmentation. - Tammy Riklin-Raviv; Nahum Kiryati; Nir A. Sochen (ECCV (4), 2004)

Prior-Based Segmentation by Projective Registration and Level Sets. - Tammy Riklin-Raviv; Nahum Kiryati; Nir A. Sochen (ICCV, 2005)

Segmentation by Level Sets and Symmetry. - Tammy Riklin-Raviv; Nahum Kiryati; Nir A. Sochen (CVPR (1), 2006)

Mutual Segmentation with Level Sets. - Tammy Riklin-Raviv; Nir A. Sochen; Nahum Kiryati (CVPR Workshops, 2006)

Propagating Distributions for Segmentation of Brain Atlas. - Tammy Riklin-Raviv; Nir A. Sochen; Nahum Kiryati; Nir Ben-Zadok; Smadar Gefen; Louise Bertrand; Jonathan Nissanov (ISBI, 2007)

Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion. - Tammy Riklin-Raviv; Nahum Kiryati; Nir A. Sochen (Int. J. Comput. Vis., 2007)

Real-time abnormal motion detection in surveillance video. - Nahum Kiryati; Tammy Riklin-Raviv; Yan Ivanchenko; Shay Rochel (ICPR, 2008)

Shape-Based Mutual Segmentation. - Tammy Riklin-Raviv; Nir A. Sochen; Nahum Kiryati (Int. J. Comput. Vis., 2008)

Interactive Level Set Segmentation for Image-Guided Therapy. - Nir Ben-Zadok; Tammy Riklin Raviv; Nahum Kiryati (ISBI, 2009)

Joint Segmentation of Image Ensembles via Latent Atlases. - Tammy Riklin Raviv; Koen Van Leemput; William M. Wells III; Polina Golland (MICCAI (1), 2009)

On Symmetry, Perspectivity, and Level-Set-Based Segmentation. - Tammy Riklin-Raviv; Nir A. Sochen; Nahum Kiryati (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Resolving clustered worms via probabilistic shape models. - Carolina Wählby; Tammy Riklin-Raviv; Vebjorn Ljosa; Annie L. Conery; Polina Golland; Frederick M. Ausubel; Anne E. Carpenter (ISBI, 2010)

Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis. - Tammy Riklin Raviv; Vebjorn Ljosa; Annie L. Conery; Frederick M. Ausubel; Anne E. Carpenter; Polina Golland; Carolina Wählby (MICCAI (3), 2010)

Segmentation of image ensembles via latent atlases. - Tammy Riklin-Raviv; Koen Van Leemput; Bjoern H. Menze; William M. Wells III; Polina Golland (Medical Image Anal., 2010)

Statistical Shape Analysis for Population Studies via Level-Set Based Shape Morphing. - Tammy Riklin Raviv; Yi Gao 002; James J. Levitt; Sylvain Bouix (ECCV Workshops (1), 2012)

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; Daniela Prayer; Georg Langs (Medical Image Anal., 2014)

Statistical Shape Analysis of Neuroanatomical Structures via Level-Set-based Shape Morphing. - Tammy Riklin Raviv; Yi Gao 002; James J. Levitt; Sylvain Bouix (SIAM J. Imaging Sci., 2014)

Symmetry-based mitosis detection in time-lapse microscopy. - Topaz Gilad; Mark-Anthony Bray; Anne E. Carpenter; Tammy Riklin Raviv (ISBI, 2015)

Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics. - Assaf Arbelle; N. Drayman; Mark-Anthony Bray; U. Alon; Anne E. Carpenter; Tammy Riklin Raviv (MICCAI (3), 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)

Co-segmentation of multiple images into multiple regions: Application to mouse brain MRI. - Shiri Gordon; Irit Dolgopyat; Itamar Kahn; Tammy Riklin Raviv (ISBI, 2016)

De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks. - Ariel Benou; Ronel Veksler; Alon Friedman; Tammy Riklin Raviv (LABELS/DLMIA@MICCAI, 2016)

Probabilistic model for 3D interactive segmentation. - Tsachi Hershkovich; Tamar Shalmon; Ohad Shitrit; Nir Halay; Bjoern H. Menze; Irit Dolgopyat; Itamar Kahn; Ilan Shelef; Tammy Riklin Raviv (Comput. Vis. Image Underst., 2016)

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; Esther Alberts; Philipp Gruber; Susanne Wegener; Marc-André Weber; Gábor Székely; Nicholas Ayache; Polina Golland (IEEE Trans. Medical Imaging, 2016)

Atlas of Classifiers for Brain MRI Segmentation. - Boris Kodner; Shiri Gordon; Jacob Goldberger; Tammy Riklin Raviv (MLMI@MICCAI, 2017)

Accelerated Magnetic Resonance Imaging by Adversarial Neural Network. - Ohad Shitrit; Tammy Riklin Raviv (DLMIA/ML-CDS@MICCAI, 2017)

Multinomial Level-Set Framework for Multi-region Image Segmentation. - Tammy Riklin Raviv (SSVM, 2017)

Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players. - Itay Benou; Ronel Veksler; Alon Friedman; Tammy Riklin Raviv (CoRR, 2017)

Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences. - Ariel Benou; Ronel Veksler; Alon Friedman; Tammy Riklin-Raviv (Medical Image Anal., 2017)

Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri. - Heli Ben Hamu Goldberg; Jonathan Mushkin; Tammy Riklin Raviv; Nir A. Sochen (ICIP, 2018)

Symmetry-Based Analysis of Diffusion MRI for the Detection of Brain Impairments. - O. A. Gorodissky; A. Sharon; A. Danov; Alon Friedman; Tammy Riklin Raviv (ICIP, 2018)

Microscopy cell segmentation via adversarial neural networks. - Assaf Arbelle; Tammy Riklin Raviv (ISBI, 2018)

Model-dependent uncertainty estimation of medical image segmentation. - Tsachi Hershkovich; Tammy Riklin-Raviv (ISBI, 2018)

A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos. - Assaf Arbelle; José Reyes; Jia-Yun Chen; Galit Lahav; Tammy Riklin Raviv (Medical Image Anal., 2018)

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, 2018)

Microscopy Cell Segmentation Via Convolutional LSTM Networks. - Assaf Arbelle; Tammy Riklin Raviv (ISBI, 2019)

DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography. - Itay Benou; Tammy Riklin Raviv (MICCAI (3), 2019)

Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy. - Topaz Gilad; José Reyes; Jia-Yun Chen; Galit Lahav; Tammy Riklin Raviv (Bioinform., 2019)

QANet - Quality Assurance Network for Microscopy Cell Segmentation. - Assaf Arbelle; Eliav Elul; Tammy Riklin Raviv (CoRR, 2019)

The Impact of an Inter-rater Bias on Neural Network Training. - Or Shwartzman; Harel Gazit; Ilan Shelef; Tammy Riklin-Raviv (CoRR, 2019)

Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions. - Mor Avi-Aharon; Assaf Arbelle; Tammy Riklin Raviv (CoRR, 2019)

Combining white matter diffusion and geometry for tract-specific alignment and variability analysis. - Itay Benou; Ronel Veksler; Alon Friedman; Tammy Riklin Raviv (NeuroImage, 2019)

DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. - Mor Avi-Aharon; Assaf Arbelle; Tammy Riklin Raviv (CoRR, 2020)

The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics. - Yael Ben-Guigui; Jacob Goldberger; Tammy Riklin-Raviv (CoRR, 2020)

Subsampled brain MRI reconstruction by generative adversarial neural networks. - Roy Shaul; Itamar David; Ohad Shitrit; Tammy Riklin Raviv (Medical Image Anal., 2020)

Deep Semi-Supervised Bias Field Correction Of Mr Images. - Tal Goldfryd; Shiri Gordon; Tammy Riklin Raviv (ISBI, 2021)

Stochastic weight pruning and the role of regularization in shaping network structure. - Yael Ziv; Jacob Goldberger; Tammy Riklin Raviv (Neurocomputing, 2021)

An atlas of classifiers - a machine learning paradigm for brain MRI segmentation. - Shiri Gordon; Boris Kodner; Tal Goldfryd; Michael Sidorov; Jacob Goldberger; Tammy Riklin Raviv (Medical Biol. Eng. Comput., 2021)

BGUSIM. - Assaf Arbelle; Shaked Cohen; Tammy Riklin Raviv (IEEE DataPort, 2021)

Graph Neural Network for Cell Tracking in Microscopy Videos. - Tal Ben-Haim; Tammy Riklin Raviv (ECCV (21), 2022)

A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment. - Tal Ben-Haim; Ron Moshe Sofer; Gal Ben-Arie; Ilan Shelef; Tammy Riklin Raviv (ICIP, 2022)

Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos. - Assaf Arbelle; Shaked Cohen; Tammy Riklin Raviv (IEEE Trans. Medical Imaging, 2022)

Generating Artistic Images Via Few-Shot Style Transfer. - Itay Buchnik; Or Berebi; Tammy Riklin Raviv; Nir Shlezinger (ICASSP Workshops, 2023)

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., 2023)

The Worrisome Impact of an Inter-rater Bias on Neural Network Training. - Or Shwartzman; Harel Gazit; Gal Ben-Aryeh; Ilan Shalef; Tammy Riklin Raviv (MICAD, 2024)

Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models. - Itay Benou; Tammy Riklin Raviv (CVPR, 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)

HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis. - Doron Serebro; Tammy Riklin-Raviv (CoRR, 2025)