Tammy Riklin Raviv

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 31

Top Topics

Fully Unsupervised

Statistical Shape Analysis

Top Venues

Medical Image Anal.

Publications

Daniel Duenias, Brennan Nichyporuk, Tal Arbel, Tammy Riklin Raviv
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling. CoRR (2024)
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger
Generating Artistic Images Via Few-Shot Style Transfer. ICASSP Workshops (2023)
Tal Ben-Haim, Tammy Riklin Raviv
Graph Neural Network for Cell Tracking in Microscopy Videos. ECCV (21) (2022)
Tal Ben-Haim, Ron Moshe Sofer, Gal Ben-Arie, Ilan Shelef, Tammy Riklin Raviv
A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment. ICIP (2022)
Assaf Arbelle, Shaked Cohen, Tammy Riklin Raviv
Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos. IEEE Trans. Medical Imaging 41 (8) (2022)
Shiri Gordon, Boris Kodner, Tal Goldfryd, Michael Sidorov, Jacob Goldberger, Tammy Riklin Raviv
An atlas of classifiers - a machine learning paradigm for brain MRI segmentation. Medical Biol. Eng. Comput. 59 (9) (2021)
Yael Ziv, Jacob Goldberger, Tammy Riklin Raviv
Stochastic weight pruning and the role of regularization in shaping network structure. Neurocomputing 462 (2021)
Tal Goldfryd, Shiri Gordon, Tammy Riklin Raviv
Deep Semi-Supervised Bias Field Correction Of Mr Images. ISBI (2021)
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. CoRR (2020)
Roy Shaul, Itamar David, Ohad Shitrit, Tammy Riklin Raviv
Subsampled brain MRI reconstruction by generative adversarial neural networks. Medical Image Anal. 65 (2020)
Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv
Combining white matter diffusion and geometry for tract-specific alignment and variability analysis. NeuroImage 200 (2019)
Itay Benou, Tammy Riklin Raviv
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography. MICCAI (3) (2019)
Assaf Arbelle, Eliav Elul, Tammy Riklin Raviv
QANet - Quality Assurance Network for Microscopy Cell Segmentation. CoRR (2019)
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions. CoRR (2019)
Assaf Arbelle, Tammy Riklin Raviv
Microscopy Cell Segmentation Via Convolutional LSTM Networks. ISBI (2019)
Topaz Gilad, José Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv
Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy. Bioinform. 35 (15) (2019)
Assaf Arbelle, Tammy Riklin Raviv
Microscopy cell segmentation via adversarial neural networks. ISBI (2018)
Assaf Arbelle, José Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv
A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos. Medical Image Anal. 47 (2018)
Heli Ben Hamu Goldberg, Jonathan Mushkin, Tammy Riklin Raviv, Nir A. Sochen
Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri. ICIP (2018)
Shiri Gordon, Irit Dolgopyat, Itamar Kahn, Tammy Riklin Raviv
Multidimensional co-segmentation of longitudinal brain MRI ensembles in the presence of a neurodegenerative process. NeuroImage 178 (2018)
O. A. Gorodissky, A. Sharon, A. Danov, Alon Friedman, Tammy Riklin Raviv
Symmetry-Based Analysis of Diffusion MRI for the Detection of Brain Impairments. ICIP (2018)
Assaf Arbelle, Tammy Riklin Raviv
Microscopy Cell Segmentation via Convolutional LSTM Networks. CoRR (2018)
Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv
Atlas of Classifiers for Brain MRI Segmentation. MLMI@MICCAI (2017)
Assaf Arbelle, Tammy Riklin Raviv
Microscopy Cell Segmentation via Adversarial Neural Networks. CoRR (2017)
Ohad Shitrit, Tammy Riklin Raviv
Accelerated Magnetic Resonance Imaging by Adversarial Neural Network. DLMIA/ML-CDS@MICCAI (2017)
Tammy Riklin Raviv
Multinomial Level-Set Framework for Multi-region Image Segmentation. SSVM (2017)
Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv
Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players. CoRR (2017)
Ariel Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv
De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks. LABELS/DLMIA@MICCAI (2016)
Shiri Gordon, Irit Dolgopyat, Itamar Kahn, Tammy Riklin Raviv
Co-segmentation of multiple images into multiple regions: Application to mouse brain MRI. ISBI (2016)
Tsachi Hershkovich, Tamar Shalmon, Ohad Shitrit, Nir Halay, Bjoern H. Menze, Irit Dolgopyat, Itamar Kahn, Ilan Shelef, Tammy Riklin Raviv
Probabilistic model for 3D interactive segmentation. Comput. Vis. Image Underst. 151 (2016)
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 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
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34 (10) (2015)
Topaz Gilad, Mark-Anthony Bray, Anne E. Carpenter, Tammy Riklin Raviv
Symmetry-based mitosis detection in time-lapse microscopy. ISBI (2015)
Assaf Arbelle, N. Drayman, Mark-Anthony Bray, U. Alon, Anne E. Carpenter, Tammy Riklin Raviv
Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics. MICCAI (3) (2015)
Eva Dittrich, Tammy Riklin Raviv, Gregor Kasprian, René Donner, Peter C. Brugger, Daniela Prayer, Georg Langs
A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation. Medical Image Anal. 18 (1) (2014)
Tammy Riklin Raviv, Yi Gao, James J. Levitt, Sylvain Bouix
Statistical Shape Analysis of Neuroanatomical Structures via Level-Set-based Shape Morphing. SIAM J. Imaging Sci. 7 (3) (2014)
Tammy Riklin Raviv, Yi Gao, James J. Levitt, Sylvain Bouix
Statistical Shape Analysis for Population Studies via Level-Set Based Shape Morphing. ECCV Workshops (1) (2012)
Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby
Analysis. MICCAI (3) (2010)
Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland
Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) (2009)
Nir Ben-Zadok, Tammy Riklin Raviv, Nahum Kiryati
Interactive Level Set Segmentation for Image-Guided Therapy. ISBI (2009)