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Tammy Riklin-Raviv
Person information
- affiliation: Ben Gurion University of the Negev, Israel
- affiliation (former): MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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Journal Articles
- 2025
- [j21]Daniel Duenias
, Brennan Nichyporuk
Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling. Medical Image Anal. 102: 103503 (2025) - 2023
- [j20]Mor Avi-Aharon
Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11642-11653 (2023) - 2022
- [j19]Assaf Arbelle, Shaked Cohen
Dual-Task ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos. IEEE Trans. Medical Imaging 41(8): 1948-1960 (2022) - 2021
- [j18]Yael Ziv, Jacob Goldberger, Tammy Riklin Raviv
Stochastic weight pruning and the role of regularization in shaping network structure. Neurocomputing 462: 555-567 (2021) - [j17]Shiri Gordon, Boris Kodner, Tal Goldfryd, Michael Sidorov
An atlas of classifiers - a machine learning paradigm for brain MRI segmentation. Medical Biol. Eng. Comput. 59(9): 1833-1849 (2021) - 2020
- [j16]Roy Shaul, Itamar David, Ohad Shitrit, Tammy Riklin Raviv
Subsampled brain MRI reconstruction by generative adversarial neural networks. Medical Image Anal. 65: 101747 (2020) - 2019
- [j15]Topaz Gilad, José Reyes
Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy. Bioinform. 35(15): 2644-2653 (2019) - [j14]Itay Benou, Ronel Veksler, Alon Friedman
Combining white matter diffusion and geometry for tract-specific alignment and variability analysis. NeuroImage 200: 674-689 (2019) - 2018
- [j13]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: 140-152 (2018) - [j12]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: 346-369 (2018) - 2017
- [j11]Ariel Benou, Ronel Veksler, Alon Friedman
Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences. Medical Image Anal. 42: 145-159 (2017) - 2016
- [j10]Tsachi Hershkovich, Tamar Shalmon, Ohad Shitrit, Nir Halay, Bjoern H. Menze
Probabilistic model for 3D interactive segmentation. Comput. Vis. Image Underst. 151: 47-60 (2016) - [j9]Bjoern H. Menze
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging 35(4): 933-946 (2016) - 2015
- [j8]Bjoern H. Menze
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - 2014
- [j7]Eva Dittrich, Tammy Riklin Raviv
A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation. Medical Image Anal. 18(1): 9-21 (2014) - [j6]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): 1645-1668 (2014) - 2010
- [j5]Tammy Riklin-Raviv
Segmentation of image ensembles via latent atlases. Medical Image Anal. 14(5): 654-665 (2010) - 2009
- [j4]Tammy Riklin-Raviv
On Symmetry, Perspectivity, and Level-Set-Based Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1458-1471 (2009) - 2008
- [j3]Tammy Riklin-Raviv
Shape-Based Mutual Segmentation. Int. J. Comput. Vis. 79(3): 231-245 (2008) - 2007
- [j2]Tammy Riklin-Raviv
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion. Int. J. Comput. Vis. 72(3): 309-328 (2007) - 2001
- [j1]Amnon Shashua, Tammy Riklin-Raviv
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations. IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 129-139 (2001)
Conference and Workshop Papers
- 2023
- [c29]Itay Buchnik, Or Berebi, Tammy Riklin Raviv, Nir Shlezinger:
Generating Artistic Images Via Few-Shot Style Transfer. ICASSP Workshops 2023: 1-5 - 2022
- [c28]Tal Ben-Haim, Tammy Riklin Raviv
Graph Neural Network for Cell Tracking in Microscopy Videos. ECCV (21) 2022: 610-626 - [c27]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: 151-155 - 2021
- [c26]Tal Goldfryd, Shiri Gordon, Tammy Riklin Raviv:
Deep Semi-Supervised Bias Field Correction Of Mr Images. ISBI 2021: 1836-1840 - 2019
- [c25]Assaf Arbelle, Tammy Riklin Raviv:
Microscopy Cell Segmentation Via Convolutional LSTM Networks. ISBI 2019: 1008-1012 - [c24]Itay Benou, Tammy Riklin Raviv:
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography. MICCAI (3) 2019: 626-635 - 2018
- [c23]O. A. Gorodissky, A. Sharon, A. Danov, Alon Friedman
Symmetry-Based Analysis of Diffusion MRI for the Detection of Brain Impairments. ICIP 2018: 376-379 - [c22]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: 734-738 - [c21]Assaf Arbelle, Tammy Riklin Raviv:
Microscopy cell segmentation via adversarial neural networks. ISBI 2018: 645-648 - [c20]Tsachi Hershkovich, Tammy Riklin-Raviv
Model-dependent uncertainty estimation of medical image segmentation. ISBI 2018: 1373-1376 - 2017
- [c19]Ohad Shitrit, Tammy Riklin Raviv
Accelerated Magnetic Resonance Imaging by Adversarial Neural Network. DLMIA/ML-CDS@MICCAI 2017: 30-38 - [c18]Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv
Atlas of Classifiers for Brain MRI Segmentation. MLMI@MICCAI 2017: 36-44 - [c17]Tammy Riklin Raviv:
Multinomial Level-Set Framework for Multi-region Image Segmentation. SSVM 2017: 386-395 - 2016
- [c16]Shiri Gordon, Irit Dolgopyat, Itamar Kahn
Co-segmentation of multiple images into multiple regions: Application to mouse brain MRI. ISBI 2016: 399-402 - [c15]Ariel Benou, Ronel Veksler, Alon Friedman
De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks. LABELS/DLMIA@MICCAI 2016: 95-110 - 2015
- [c14]Topaz Gilad, Mark-Anthony Bray, Anne E. Carpenter
Symmetry-based mitosis detection in time-lapse microscopy. ISBI 2015: 164-167 - [c13]Assaf Arbelle, N. Drayman, Mark-Anthony Bray, U. Alon
Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics. MICCAI (3) 2015: 218-225 - 2012
- [c12]Tammy Riklin Raviv
Statistical Shape Analysis for Population Studies via Level-Set Based Shape Morphing. ECCV Workshops (1) 2012: 42-51 - 2010
- [c11]Carolina Wählby
Resolving clustered worms via probabilistic shape models. ISBI 2010: 552-555 - [c10]Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis. MICCAI (3) 2010: 634-641 - 2009
- [c9]Nir Ben-Zadok, Tammy Riklin Raviv
Interactive Level Set Segmentation for Image-Guided Therapy. ISBI 2009: 1079-1082 - [c8]Tammy Riklin Raviv
Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) 2009: 272-280 - 2008
- [c7]Nahum Kiryati
Real-time abnormal motion detection in surveillance video. ICPR 2008: 1-4 - 2007
- [c6]Tammy Riklin-Raviv
Propagating Distributions for Segmentation of Brain Atlas. ISBI 2007: 1304-1307 - 2006
- [c5]Tammy Riklin-Raviv
Mutual Segmentation with Level Sets. CVPR Workshops 2006: 177 - [c4]Tammy Riklin-Raviv
Segmentation by Level Sets and Symmetry. CVPR (1) 2006: 1015-1022 - 2005
- [c3]Tammy Riklin-Raviv
Prior-Based Segmentation by Projective Registration and Level Sets. ICCV 2005: 204-211 - 2004
- [c2]Tammy Riklin-Raviv, Nahum Kiryati
Unlevel-Sets: Geometry and Prior-Based Segmentation. ECCV (4) 2004: 50-61 - 1999
- [c1]Tammy Riklin-Raviv, Amnon Shashua:
The Quotient Image: Class Based Recognition and Synthesis under Varying Illumination Conditions. CVPR 1999: 2566-
Data and Artifacts
- 2021
- [d1]Assaf Arbelle, Shaked Cohen, Tammy Riklin Raviv:
BGUSIM. IEEE DataPort, 2021
Informal and Other Publications
- 2025
- [i14]Itay Benou, Tammy Riklin-Raviv:
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models. CoRR abs/2502.20134 (2025) - [i13]Doron Serebro, Tammy Riklin-Raviv:
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis. CoRR abs/2503.04979 (2025) - 2024
- [i12]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 abs/2403.13319 (2024) - 2022
- [i11]Tal Ben-Haim, Tammy Riklin-Raviv:
Graph Neural Network for Cell Tracking in Microscopy Videos. CoRR abs/2202.04731 (2022) - [i10]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. CoRR abs/2207.02322 (2022) - 2020
- [i9]Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv:
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. CoRR abs/2005.03995 (2020) - [i8]Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv:
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics. CoRR abs/2012.03827 (2020) - 2019
- [i7]Assaf Arbelle, Eliav Elul, Tammy Riklin Raviv:
QANet - Quality Assurance Network for Microscopy Cell Segmentation. CoRR abs/1904.08503 (2019) - [i6]Or Shwartzman, Harel Gazit, Ilan Shelef, Tammy Riklin-Raviv:
The Impact of an Inter-rater Bias on Neural Network Training. CoRR abs/1906.11872 (2019) - [i5]Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv:
Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions. CoRR abs/1912.06044 (2019) - 2018
- [i4]Assaf Arbelle, Tammy Riklin Raviv:
Microscopy Cell Segmentation via Convolutional LSTM Networks. CoRR abs/1805.11247 (2018) - [i3]Itay Benou, Tammy Riklin-Raviv:
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography. CoRR abs/1812.05129 (2018) - 2017
- [i2]Assaf Arbelle, Tammy Riklin Raviv:
Microscopy Cell Segmentation via Adversarial Neural Networks. CoRR abs/1709.05860 (2017) - [i1]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 abs/1709.06122 (2017)
Coauthor Index
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last updated on 2025-06-08 15:41 CEST by the dblp team
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