Tammy Riklin Raviv

45 papers A* 1B 3Journal 23Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decoding Functional Networks for Visual Categories via GNNs.
CoRR
Shira Karmi, Galia Avidan, Tammy Riklin Raviv
2025 J jnl
Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling.
Medical Image Anal.
Daniel Duenias, Brennan Nichyporuk, Tal Arbel, Tammy Riklin Raviv
2025 A* conf
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models.
CVPR
Itay Benou, Tammy Riklin Raviv
2025 J jnl
TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks.
CoRR
Itzik Waizman, Yakov Gusakov, Itay Benou, Tammy Riklin Raviv
2024 J jnl
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling.
CoRR
Daniel Duenias, Brennan Nichyporuk, Tal Arbel, Tammy Riklin Raviv
2024 — conf
The Worrisome Impact of an Inter-rater Bias on Neural Network Training.
MICAD
Or Shwartzman, Harel Gazit, Gal Ben-Aryeh, Ilan Shalef, Tammy Riklin Raviv
2023 J jnl
Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation.
IEEE Trans. Pattern Anal. Mach. Intell.
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
2023 — conf
Generating Artistic Images Via Few-Shot Style Transfer.
ICASSP Workshops
Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger
2022 B conf
A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment.
ICIP
Tal Ben-Haim, Ron Moshe Sofer, Gal Ben-Arie, Ilan Shelef, Tammy Riklin Raviv
2022 J jnl
Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos.
IEEE Trans. Medical Imaging
Assaf Arbelle, Shaked Cohen, Tammy Riklin Raviv
2022 — conf
Graph Neural Network for Cell Tracking in Microscopy Videos.
ECCV (21)
Tal Ben-Haim, Tammy Riklin Raviv
2021 J jnl
An atlas of classifiers - a machine learning paradigm for brain MRI segmentation.
Medical Biol. Eng. Comput.
Shiri Gordon, Boris Kodner, Tal Goldfryd, Michael Sidorov, Jacob Goldberger, Tammy Riklin Raviv
2021 — conf
Deep Semi-Supervised Bias Field Correction Of Mr Images.
ISBI
Tal Goldfryd, Shiri Gordon, Tammy Riklin Raviv
2021 J jnl
Stochastic weight pruning and the role of regularization in shaping network structure.
Neurocomputing
Yael Ziv, Jacob Goldberger, Tammy Riklin Raviv
2020 J jnl
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation.
CoRR
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
2020 J jnl
Subsampled brain MRI reconstruction by generative adversarial neural networks.
Medical Image Anal.
Roy Shaul, Itamar David, Ohad Shitrit, Tammy Riklin Raviv
2019 J jnl
Combining white matter diffusion and geometry for tract-specific alignment and variability analysis.
NeuroImage
Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv
2019 — conf
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography.
MICCAI (3)
Itay Benou, Tammy Riklin Raviv
2019 J jnl
Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy.
Bioinform.
Topaz Gilad, José Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv
2019 J jnl
Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions.
CoRR
Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv
2019 — conf
Microscopy Cell Segmentation Via Convolutional LSTM Networks.
ISBI
Assaf Arbelle, Tammy Riklin Raviv
2019 J jnl
QANet - Quality Assurance Network for Microscopy Cell Segmentation.
CoRR
Assaf Arbelle, Eliav Elul, Tammy Riklin Raviv
2018 J jnl
A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos.
Medical Image Anal.
Assaf Arbelle, José Reyes, Jia-Yun Chen, Galit Lahav, Tammy Riklin Raviv
2018 J jnl
Microscopy Cell Segmentation via Convolutional LSTM Networks.
CoRR
Assaf Arbelle, Tammy Riklin Raviv
2018 — conf
Microscopy cell segmentation via adversarial neural networks.
ISBI
Assaf Arbelle, Tammy Riklin Raviv
2018 J jnl
Multidimensional co-segmentation of longitudinal brain MRI ensembles in the presence of a neurodegenerative process.
NeuroImage
Shiri Gordon, Irit Dolgopyat, Itamar Kahn, Tammy Riklin Raviv
2018 B conf
Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri.
ICIP
Heli Ben Hamu Goldberg, Jonathan Mushkin, Tammy Riklin Raviv, Nir A. Sochen
2018 B conf
Symmetry-Based Analysis of Diffusion MRI for the Detection of Brain Impairments.
ICIP
O. A. Gorodissky, A. Sharon, A. Danov, Alon Friedman, Tammy Riklin Raviv
2017 — conf
Accelerated Magnetic Resonance Imaging by Adversarial Neural Network.
DLMIA/ML-CDS@MICCAI
Ohad Shitrit, Tammy Riklin Raviv
2017 — conf
Atlas of Classifiers for Brain MRI Segmentation.
MLMI@MICCAI
Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv
2017 J jnl
Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players.
CoRR
Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv
2017 J jnl
Microscopy Cell Segmentation via Adversarial Neural Networks.
CoRR
Assaf Arbelle, Tammy Riklin Raviv
2017 — conf
Multinomial Level-Set Framework for Multi-region Image Segmentation.
SSVM
Tammy Riklin Raviv
2016 — conf
Co-segmentation of multiple images into multiple regions: Application to mouse brain MRI.
ISBI
Shiri Gordon, Irit Dolgopyat, Itamar Kahn, Tammy Riklin Raviv
2016 — conf
De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks.
LABELS/DLMIA@MICCAI
Ariel Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv
2016 J jnl
Probabilistic model for 3D interactive segmentation.
Comput. Vis. Image Underst.
Tsachi Hershkovich, Tamar Shalmon, Ohad Shitrit, Nir Halay, Bjoern H. Menze, Irit Dolgopyat, Itamar Kahn, Ilan Shelef, Tammy Riklin Raviv
2015 — conf
Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics.
MICCAI (3)
Assaf Arbelle, N. Drayman, Mark-Anthony Bray, Uri Alon, Anne E. Carpenter, Tammy Riklin Raviv
2015 — conf
Symmetry-based mitosis detection in time-lapse microscopy.
ISBI
Topaz Gilad, Mark-Anthony Bray, Anne E. Carpenter, Tammy Riklin Raviv
2015 J jnl
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging
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
2014 J jnl
A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation.
Medical Image Anal.
Eva Dittrich, Tammy Riklin Raviv, Gregor Kasprian, René Donner, Peter C. Brugger, Daniela Prayer, Georg Langs
2014 J jnl
Statistical Shape Analysis of Neuroanatomical Structures via Level-Set-based Shape Morphing.
SIAM J. Imaging Sci.
Tammy Riklin Raviv, Yi Gao, James J. Levitt, Sylvain Bouix
2012 — conf
Statistical Shape Analysis for Population Studies via Level-Set Based Shape Morphing.
ECCV Workshops (1)
Tammy Riklin Raviv, Yi Gao, James J. Levitt, Sylvain Bouix
2010 — conf
Morphology-Guided Graph Search for Untangling Objects:
MICCAI (3)
Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby
2009 — conf
Interactive Level Set Segmentation for Image-Guided Therapy.
ISBI
Nir Ben-Zadok, Tammy Riklin Raviv, Nahum Kiryati
2009 — conf
Joint Segmentation of Image Ensembles via Latent Atlases.
MICCAI (1)
Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland