Tammy Riklin-Raviv

According to our database, Tammy Riklin-Raviv authored at least 57 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 2024

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., October, 2023

Generating Artistic Images Via Few-Shot Style Transfer.

Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2023

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

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

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Graph Neural Network for Cell Tracking in Microscopy Videos.

Tal Ben-Haim, Tammy Riklin Raviv

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

BGUSIM.

Assaf Arbelle, Shaked Cohen, Tammy Riklin Raviv

Dataset, October, 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

Stochastic weight pruning and the role of regularization in shaping network structure.

Yael Ziv, Jacob Goldberger, Tammy Riklin Raviv

Neurocomputing, 2021

Deep Semi-Supervised Bias Field Correction Of Mr Images.

Tal Goldfryd, Shiri Gordon, Tammy Riklin Raviv

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Subsampled brain MRI reconstruction by generative adversarial neural networks.

Roy Shaul, Itamar David, Ohad Shitrit, Tammy Riklin Raviv

Medical Image Anal., 2020

The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics.

Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv

CoRR, 2020

DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation.

Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv

CoRR, 2020

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

Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions.

Mor Avi-Aharon, Assaf Arbelle, 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

QANet - Quality Assurance Network for Microscopy Cell Segmentation.

Assaf Arbelle, Eliav Elul, Tammy Riklin Raviv

CoRR, 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

DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography.

Itay Benou, Tammy Riklin Raviv

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Microscopy Cell Segmentation Via Convolutional LSTM Networks.

Assaf Arbelle, Tammy Riklin Raviv

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

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

Model-dependent uncertainty estimation of medical image segmentation.

Tsachi Hershkovich, Tammy Riklin-Raviv

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Microscopy cell segmentation via adversarial neural networks.

Assaf Arbelle, Tammy Riklin Raviv

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

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

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

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

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

Multinomial Level-Set Framework for Multi-region Image Segmentation.

Tammy Riklin Raviv

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Accelerated Magnetic Resonance Imaging by Adversarial Neural Network.

Ohad Shitrit, Tammy Riklin Raviv

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Atlas of Classifiers for Brain MRI Segmentation.

Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

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

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

De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks.

Ariel Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Co-segmentation of multiple images into multiple regions: Application to mouse brain MRI.

Shiri Gordon, Irit Dolgopyat, Itamar Kahn, Tammy Riklin Raviv

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput

IEEE Trans. Medical Imaging, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Symmetry-based mitosis detection in time-lapse microscopy.

Topaz Gilad, Mark-Anthony Bray, Anne E. Carpenter, Tammy Riklin Raviv

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Statistical Shape Analysis of Neuroanatomical Structures via Level-Set-based Shape Morphing.

Tammy Riklin Raviv, Yi Gao, James J. Levitt, Sylvain Bouix

SIAM J. Imaging Sci., 2014

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

2012

Statistical Shape Analysis for Population Studies via Level-Set Based Shape Morphing.

Tammy Riklin Raviv, Yi Gao, James J. Levitt, Sylvain Bouix

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

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

Morphology-Guided Graph Search for Untangling Objects: <i>C. elegans</i> Analysis.

Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

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

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

On Symmetry, Perspectivity, and Level-Set-Based Segmentation.

Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Joint Segmentation of Image Ensembles via Latent Atlases.

Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Interactive Level Set Segmentation for Image-Guided Therapy.

Nir Ben-Zadok, Tammy Riklin Raviv, Nahum Kiryati

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

Shape-Based Mutual Segmentation.

Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati

Int. J. Comput. Vis., 2008

Real-time abnormal motion detection in surveillance video.

Nahum Kiryati, Tammy Riklin-Raviv, Yan Ivanchenko, Shay Rochel

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

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

Propagating Distributions for Segmentation of Brain Atlas.

Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati, Nir Ben-Zadok, Smadar Gefen, Louise Bertrand, Jonathan Nissanov

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

Mutual Segmentation with Level Sets.

Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Segmentation by Level Sets and Symmetry.

Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Prior-Based Segmentation by Projective Registration and Level Sets.

Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

Unlevel-Sets: Geometry and Prior-Based Segmentation.

Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen

Proceedings of the Computer Vision, 2004

2001

The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations.

Amnon Shashua, Tammy Riklin-Raviv

IEEE Trans. Pattern Anal. Mach. Intell., 2001

1999

The Quotient Image: Class Based Recognition and Synthesis under Varying Illumination Conditions.

Tammy Riklin-Raviv, Amnon Shashua

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999